[{"department":[{"_id":"DaAl"}],"scopus_import":"1","oa":1,"article_processing_charge":"No","language":[{"iso":"eng"}],"abstract":[{"text":"We introduce QuaRot, a new Quantization scheme based on Rotations, which is able to quantize LLMs end-to-end, including all weights, activations, and KV cache in 4 bits. QuaRot rotates LLMs in a way that removes outliers from the hidden state without changing the output, making quantization easier. This computational invariance is applied to the hidden state (residual) of the LLM, as well as to the activations of the feed-forward components, aspects of the attention mechanism, and to the KV cache. The result is a quantized model where all matrix multiplications are performed in 4 bits, without any channels identified for retention in higher precision. Our 4-bit quantized LLAMA2-70B model has losses of at most 0.47 WikiText-2 perplexity and retains 99% of the zero-shot performance. We also show that QuaRot can provide lossless 6 and 8 bit LLAMA-2 models without any calibration data using round-to-nearest quantization. Code is available at github.com/spcl/QuaRot.","lang":"eng"}],"oa_version":"Preprint","intvolume":" 37","conference":{"end_date":"2024-12-15","location":"Vancouver, Canada","name":"NeurIPS: Neural Information Processing Systems","start_date":"2024-12-09"},"citation":{"chicago":"Ashkboos, Saleh, Amirkeivan Mohtashami, Maximilian L. Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan-Adrian Alistarh, Torsten Hoefler, and James Hensman. “QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024.","mla":"Ashkboos, Saleh, et al. “QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.","ieee":"S. Ashkboos et al., “QuaRot: Outlier-free 4-bit inference in rotated LLMs,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.","apa":"Ashkboos, S., Mohtashami, A., Croci, M. L., Li, B., Cameron, P., Jaggi, M., … Hensman, J. (2024). QuaRot: Outlier-free 4-bit inference in rotated LLMs. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.","ama":"Ashkboos S, Mohtashami A, Croci ML, et al. QuaRot: Outlier-free 4-bit inference in rotated LLMs. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.","short":"S. Ashkboos, A. Mohtashami, M.L. Croci, B. Li, P. Cameron, M. Jaggi, D.-A. Alistarh, T. Hoefler, J. Hensman, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","ista":"Ashkboos S, Mohtashami A, Croci ML, Li B, Cameron P, Jaggi M, Alistarh D-A, Hoefler T, Hensman J. 2024. QuaRot: Outlier-free 4-bit inference in rotated LLMs. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37."},"publication_identifier":{"issn":["1049-5258"]},"publisher":"Neural Information Processing Systems Foundation","publication_status":"published","year":"2024","status":"public","date_published":"2024-12-20T00:00:00Z","_id":"19511","alternative_title":["Advances in Neural Information Processing Systems"],"quality_controlled":"1","volume":37,"arxiv":1,"day":"20","author":[{"last_name":"Ashkboos","first_name":"Saleh","full_name":"Ashkboos, Saleh"},{"first_name":"Amirkeivan","last_name":"Mohtashami","full_name":"Mohtashami, Amirkeivan"},{"last_name":"Croci","first_name":"Maximilian L.","full_name":"Croci, Maximilian L."},{"first_name":"Bo","last_name":"Li","full_name":"Li, Bo"},{"first_name":"Pashmina","last_name":"Cameron","full_name":"Cameron, Pashmina"},{"full_name":"Jaggi, Martin","first_name":"Martin","last_name":"Jaggi"},{"first_name":"Dan-Adrian","last_name":"Alistarh","full_name":"Alistarh, Dan-Adrian","orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Hoefler, Torsten","first_name":"Torsten","last_name":"Hoefler"},{"first_name":"James","last_name":"Hensman","full_name":"Hensman, James"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","related_material":{"link":[{"relation":"software","url":"https://github.com/spcl/QuaRot"}]},"type":"conference","OA_type":"green","external_id":{"arxiv":["2404.00456"]},"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2404.00456","open_access":"1"}],"title":"QuaRot: Outlier-free 4-bit inference in rotated LLMs","OA_place":"repository","date_created":"2025-04-06T22:01:32Z","publication":"38th Conference on Neural Information Processing Systems","date_updated":"2025-05-14T11:33:12Z","month":"12"},{"language":[{"iso":"eng"}],"article_processing_charge":"No","project":[{"grant_number":"101019564","name":"The design and evaluation of modern fully dynamic data structures","call_identifier":"H2020","_id":"bd9ca328-d553-11ed-ba76-dc4f890cfe62"},{"_id":"34def286-11ca-11ed-8bc3-da5948e1613c","name":"Efficient algorithms","grant_number":"Z00422"},{"_id":"bda196b2-d553-11ed-ba76-8e8ee6c21103","grant_number":"I05982","name":"Static and Dynamic Hierarchical Graph Decompositions"},{"_id":"bd9e3a2e-d553-11ed-ba76-8aa684ce17fe","grant_number":"P33775","name":"Fast Algorithms for a Reactive Network Layer"}],"oa":1,"scopus_import":"1","department":[{"_id":"MoHe"}],"publication_status":"published","ec_funded":1,"publisher":"Neural Information Processing Systems Foundation","publication_identifier":{"issn":["1049-5258"]},"conference":{"location":"Vancouver, Canada","end_date":"2024-12-15","start_date":"2024-12-09","name":"NeurIPS: Neural Information Processing Systems"},"citation":{"ista":"Andersson JD, Henzinger M, Pagh R, Steiner TA, Upadhyay J. 2024. Continual counting with gradual privacy expiration. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.","short":"J.D. Andersson, M. Henzinger, R. Pagh, T.A. Steiner, J. Upadhyay, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","apa":"Andersson, J. D., Henzinger, M., Pagh, R., Steiner, T. A., & Upadhyay, J. (2024). Continual counting with gradual privacy expiration. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.","ama":"Andersson JD, Henzinger M, Pagh R, Steiner TA, Upadhyay J. Continual counting with gradual privacy expiration. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.","chicago":"Andersson, Joel Daniel, Monika Henzinger, Rasmus Pagh, Teresa Anna Steiner, and Jalaj Upadhyay. “Continual Counting with Gradual Privacy Expiration.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024.","mla":"Andersson, Joel Daniel, et al. “Continual Counting with Gradual Privacy Expiration.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.","ieee":"J. D. Andersson, M. Henzinger, R. Pagh, T. A. Steiner, and J. Upadhyay, “Continual counting with gradual privacy expiration,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37."},"intvolume":" 37","oa_version":"Preprint","abstract":[{"text":"Differential privacy with gradual expiration models the setting where data items\r\narrive in a stream and at a given time t the privacy loss guaranteed for a data item\r\nseen at time (t − d) is εg(d), where g is a monotonically non-decreasing function.\r\nWe study the fundamental continual (binary) counting problem where each data\r\nitem consists of a bit, and the algorithm needs to output at each time step the sum of\r\nall the bits streamed so far. For a stream of length T and privacy without expiration\r\ncontinual counting is possible with maximum (over all time steps) additive error\r\nO(log2\r\n(T)/ε) and the best known lower bound is Ω(log(T)/ε); closing this gap\r\nis a challenging open problem.\r\nWe show that the situation is very different for privacy with gradual expiration by\r\ngiving upper and lower bounds for a large set of expiration functions g. Specifically,\r\nour algorithm achieves an additive error of O(log(T)/ε) for a large set of privacy\r\nexpiration functions. We also give a lower bound that shows that if C is the additive\r\nerror of any ε-DP algorithm for this problem, then the product of C and the privacy\r\nexpiration function after 2C steps must be Ω(log(T)/ε). Our algorithm matches\r\nthis lower bound as its additive error is O(log(T)/ε), even when g(2C) = O(1).\r\nOur empirical evaluation shows that we achieve a slowly growing privacy loss\r\nwith significantly smaller empirical privacy loss for large values of d than a natural\r\nbaseline algorithm.","lang":"eng"}],"corr_author":"1","quality_controlled":"1","volume":37,"acknowledgement":"Monika Henzinger: This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 101019564) and the Austrian Science Fund (FWF) grant DOI 10.55776/Z422, grant DOI 10.55776/I5982, and grant DOI 10.55776/P33775 with additional funding from the netidee SCIENCE Stiftung, 2020–2024. Joel Daniel Andersson and Rasmus Pagh are affiliated with Basic Algorithms Research Copenhagen (BARC), supported by the VILLUM Foundation grant 16582, and are also supported by Providentia, a Data Science Distinguished Investigator grant from Novo Nordisk Fonden. Teresa Anna Steiner is supported by a research grant (VIL51463) from VILLUM FONDEN. This work was done while Teresa Anna Steiner was a Postdoc at the Technical University of Denmark. Jalaj Upadhyay’s research was funded by the Rutgers Decanal Grant no. 302918 and an unrestricted gift from Google.","alternative_title":["Advances in Neural Information Processing Systems"],"_id":"19512","date_published":"2024-12-20T00:00:00Z","status":"public","year":"2024","type":"conference","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"full_name":"Andersson, Joel Daniel","last_name":"Andersson","first_name":"Joel Daniel"},{"id":"540c9bbd-f2de-11ec-812d-d04a5be85630","orcid":"0000-0002-5008-6530","full_name":"Henzinger, Monika H","last_name":"Henzinger","first_name":"Monika H"},{"last_name":"Pagh","first_name":"Rasmus","full_name":"Pagh, Rasmus"},{"first_name":"Teresa Anna","last_name":"Steiner","full_name":"Steiner, Teresa Anna"},{"last_name":"Upadhyay","first_name":"Jalaj","full_name":"Upadhyay, Jalaj"}],"day":"20","arxiv":1,"external_id":{"arxiv":["2406.03802"]},"OA_type":"green","publication":"38th Conference on Neural Information Processing Systems","date_created":"2025-04-06T22:01:32Z","OA_place":"repository","title":"Continual counting with gradual privacy expiration","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2406.03802"}],"month":"12","date_updated":"2025-05-14T11:33:22Z"},{"external_id":{"arxiv":["2406.14183"]},"OA_type":"green","author":[{"first_name":"Marco","last_name":"Fumero","full_name":"Fumero, Marco","id":"1c1593eb-393f-11ef-bb8e-ab4f1e979650"},{"full_name":"Pegoraro, Marco","last_name":"Pegoraro","first_name":"Marco"},{"full_name":"Maiorca, Valentino","last_name":"Maiorca","first_name":"Valentino"},{"id":"26cfd52f-2483-11ee-8040-88983bcc06d4","full_name":"Locatello, Francesco","orcid":"0000-0002-4850-0683","first_name":"Francesco","last_name":"Locatello"},{"full_name":"Rodolà, Emanuele","first_name":"Emanuele","last_name":"Rodolà"}],"day":"20","arxiv":1,"type":"conference","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2025-05-14T11:36:51Z","month":"12","title":"Latent functional maps: A spectral framework for representation alignment","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2406.14183","open_access":"1"}],"date_created":"2025-04-06T22:01:32Z","publication":"38th Conference on Neural Information Processing Systems","OA_place":"repository","project":[{"_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","name":"IST-BRIDGE: International postdoctoral program","call_identifier":"H2020","grant_number":"101034413"}],"article_processing_charge":"No","department":[{"_id":"FrLo"}],"scopus_import":"1","oa":1,"language":[{"iso":"eng"}],"date_published":"2024-12-20T00:00:00Z","_id":"19515","alternative_title":["Advances in Neural Information Processing Systems"],"year":"2024","status":"public","volume":37,"quality_controlled":"1","acknowledgement":"MF is supported by the MSCA IST-Bridge fellowship which has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 101034413. ER and VM are supported by the PNRR MUR project PE0000013-FAIR. MP is supported by the Sapienza grant \"Predicting and Explaining Clinical Trial Outcomes\", prot. RG12218166FA3F13.","oa_version":"Preprint","corr_author":"1","abstract":[{"lang":"eng","text":"Neural models learn data representations that lie on low-dimensional manifolds,\r\nyet modeling the relation between these representational spaces is an ongoing challenge. By integrating spectral geometry principles into neural modeling, we show\r\nthat this problem can be better addressed in the functional domain, mitigating complexity, while enhancing interpretability and performances on downstream tasks.\r\nTo this end, we introduce a multi-purpose framework to the representation learning\r\ncommunity, which allows to: (i) compare different spaces in an interpretable way\r\nand measure their intrinsic similarity; (ii) find correspondences between them, both\r\nin unsupervised and weakly supervised settings, and (iii) to effectively transfer\r\nrepresentations between distinct spaces. We validate our framework on various\r\napplications, ranging from stitching to retrieval tasks, and on multiple modalities,\r\ndemonstrating that Latent Functional Maps can serve as a swiss-army knife for\r\nrepresentation alignment"}],"publication_identifier":{"issn":["1049-5258"]},"publisher":"Neural Information Processing Systems Foundation","publication_status":"published","ec_funded":1,"intvolume":" 37","conference":{"end_date":"2024-12-15","location":"Vancouver, Canada","name":"NeurIPS: Neural Information Processing Systems","start_date":"2024-12-09"},"citation":{"chicago":"Fumero, Marco, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, and Emanuele Rodolà. “Latent Functional Maps: A Spectral Framework for Representation Alignment.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024.","mla":"Fumero, Marco, et al. “Latent Functional Maps: A Spectral Framework for Representation Alignment.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.","ieee":"M. Fumero, M. Pegoraro, V. Maiorca, F. Locatello, and E. Rodolà, “Latent functional maps: A spectral framework for representation alignment,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.","apa":"Fumero, M., Pegoraro, M., Maiorca, V., Locatello, F., & Rodolà, E. (2024). Latent functional maps: A spectral framework for representation alignment. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.","ama":"Fumero M, Pegoraro M, Maiorca V, Locatello F, Rodolà E. Latent functional maps: A spectral framework for representation alignment. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.","short":"M. Fumero, M. Pegoraro, V. Maiorca, F. Locatello, E. Rodolà, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","ista":"Fumero M, Pegoraro M, Maiorca V, Locatello F, Rodolà E. 2024. Latent functional maps: A spectral framework for representation alignment. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37."}},{"language":[{"iso":"eng"}],"article_processing_charge":"No","project":[{"_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","grant_number":"101034413","call_identifier":"H2020","name":"IST-BRIDGE: International postdoctoral program"}],"scopus_import":"1","department":[{"_id":"FrLo"}],"oa":1,"volume":37,"quality_controlled":"1","acknowledgement":"This work is supported by the ERC grant no.802554 (SPECGEO), PRIN 2020 project\r\nno.2020TA3K9N (LEGO.AI), and PNRR MUR project PE0000013-FAIR. Marco Fumero is supported by the MSCA IST-Bridge fellowship which has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 101034413. We thank Simone Scardapane for the helpful feedback on the paper.","date_published":"2024-12-20T00:00:00Z","alternative_title":["Advances in Neural Information Processing Systems"],"_id":"19517","year":"2024","status":"public","publication_identifier":{"issn":["1049-5258"]},"publisher":"Neural Information Processing Systems Foundation","publication_status":"published","ec_funded":1,"intvolume":" 37","conference":{"end_date":"2024-12-15","location":"Vancouver, Canada","name":"NeurIPS: Neural Information Processing Systems","start_date":"2024-12-09"},"citation":{"chicago":"Crisostomi, Donato, Marco Fumero, Daniele Baieri, Florian Bernard, and Emanuele Rodolà. “C2M3: Cycle-Consistent Multi-Model Merging.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024.","mla":"Crisostomi, Donato, et al. “C2M3: Cycle-Consistent Multi-Model Merging.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.","ieee":"D. Crisostomi, M. Fumero, D. Baieri, F. Bernard, and E. Rodolà, “C2M3: Cycle-consistent multi-model merging,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.","apa":"Crisostomi, D., Fumero, M., Baieri, D., Bernard, F., & Rodolà, E. (2024). C2M3: Cycle-consistent multi-model merging. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.","ama":"Crisostomi D, Fumero M, Baieri D, Bernard F, Rodolà E. C2M3: Cycle-consistent multi-model merging. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.","short":"D. Crisostomi, M. Fumero, D. Baieri, F. Bernard, E. Rodolà, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","ista":"Crisostomi D, Fumero M, Baieri D, Bernard F, Rodolà E. 2024. C2M3: Cycle-consistent multi-model merging. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37."},"oa_version":"Preprint","abstract":[{"text":"In this paper, we present a novel data-free method for merging neural networks in weight space. Differently from most existing works, our method optimizes for the permutations of network neurons globally across all layers. This allows us to enforce cycle consistency of the permutations when merging n ≥ 3 models, allowing circular compositions of permutations to be computed without accumulating error along the path. We qualitatively and quantitatively motivate the need for such a constraint, showing its benefits when merging sets of models in scenarios spanning varying architectures and datasets. We finally show that, when coupled\r\nwith activation renormalization, our approach yields the best results in the task.","lang":"eng"}],"corr_author":"1","external_id":{"arxiv":["2405.17897"]},"OA_type":"green","type":"conference","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","day":"20","author":[{"first_name":"Donato","last_name":"Crisostomi","full_name":"Crisostomi, Donato"},{"full_name":"Fumero, Marco","id":"1c1593eb-393f-11ef-bb8e-ab4f1e979650","last_name":"Fumero","first_name":"Marco"},{"first_name":"Daniele","last_name":"Baieri","full_name":"Baieri, Daniele"},{"full_name":"Bernard, Florian","last_name":"Bernard","first_name":"Florian"},{"full_name":"Rodolà, Emanuele","last_name":"Rodolà","first_name":"Emanuele"}],"arxiv":1,"month":"12","date_updated":"2025-05-14T11:36:59Z","publication":"38th Conference on Neural Information Processing Systems","date_created":"2025-04-06T22:01:32Z","OA_place":"repository","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2405.17897"}],"title":"C2M3: Cycle-consistent multi-model merging"},{"date_created":"2025-04-06T22:01:32Z","publication":"38th Conference on Neural Information Processing Systems","OA_place":"repository","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2408.17163","open_access":"1"}],"title":"The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information","month":"12","date_updated":"2025-05-14T11:37:10Z","type":"conference","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","day":"20","author":[{"first_name":"Diyuan","last_name":"Wu","id":"1a5914c2-896a-11ed-bdf8-fb80621a0635","full_name":"Wu, Diyuan"},{"id":"449f7a18-f128-11eb-9611-9b430c0c6333","full_name":"Modoranu, Ionut-Vlad","last_name":"Modoranu","first_name":"Ionut-Vlad"},{"id":"dd546b39-0804-11ed-9c55-ef075c39778d","full_name":"Safaryan, Mher","last_name":"Safaryan","first_name":"Mher"},{"last_name":"Kuznedelev","first_name":"Denis","full_name":"Kuznedelev, Denis"},{"full_name":"Alistarh, Dan-Adrian","orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","first_name":"Dan-Adrian","last_name":"Alistarh"}],"arxiv":1,"external_id":{"arxiv":["2408.17163"]},"OA_type":"green","ec_funded":1,"publisher":"Neural Information Processing Systems Foundation","publication_status":"published","publication_identifier":{"issn":["1049-5258"]},"citation":{"short":"D. Wu, I.-V. Modoranu, M. Safaryan, D. Kuznedelev, D.-A. Alistarh, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","ista":"Wu D, Modoranu I-V, Safaryan M, Kuznedelev D, Alistarh D-A. 2024. The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.","ieee":"D. Wu, I.-V. Modoranu, M. Safaryan, D. Kuznedelev, and D.-A. Alistarh, “The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.","mla":"Wu, Diyuan, et al. “The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.","chicago":"Wu, Diyuan, Ionut-Vlad Modoranu, Mher Safaryan, Denis Kuznedelev, and Dan-Adrian Alistarh. “The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024.","apa":"Wu, D., Modoranu, I.-V., Safaryan, M., Kuznedelev, D., & Alistarh, D.-A. (2024). The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.","ama":"Wu D, Modoranu I-V, Safaryan M, Kuznedelev D, Alistarh D-A. The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024."},"conference":{"end_date":"2024-12-15","location":"Vancouver, Canada","name":"NeurIPS: Neural Information Processing Systems","start_date":"2024-12-09"},"intvolume":" 37","oa_version":"Preprint","corr_author":"1","abstract":[{"text":"The rising footprint of machine learning has led to a focus on imposing model\r\nsparsity as a means of reducing computational and memory costs. For deep neural\r\nnetworks (DNNs), the state-of-the-art accuracy-vs-sparsity is achieved by heuristics\r\ninspired by the classical Optimal Brain Surgeon (OBS) framework [LeCun et al.,\r\n1989, Hassibi and Stork, 1992, Hassibi et al., 1993], which leverages loss curvature\r\ninformation to make better pruning decisions. Yet, these results still lack a solid\r\ntheoretical understanding, and it is unclear whether they can be improved by\r\nleveraging connections to the wealth of work on sparse recovery algorithms. In this\r\npaper, we draw new connections between these two areas and present new sparse\r\nrecovery algorithms inspired by the OBS framework that comes with theoretical\r\nguarantees under reasonable assumptions and have strong practical performance.\r\nSpecifically, our work starts from the observation that we can leverage curvature\r\ninformation in OBS-like fashion upon the projection step of classic iterative sparse\r\nrecovery algorithms such as IHT. We show for the first time that this leads both\r\nto improved convergence bounds under standard assumptions. Furthermore, we\r\npresent extensions of this approach to the practical task of obtaining accurate sparse\r\nDNNs, and validate it experimentally at scale for Transformer-based models on\r\nvision and language tasks.","lang":"eng"}],"volume":37,"quality_controlled":"1","acknowledgement":"The authors thank the anonymous NeurIPS reviewers for their useful comments and feedback, the IT department from the Institute of Science and Technology Austria for the hardware support, and Weights and Biases for the infrastructure to track all our experiments. Mher Safaryan has received funding from the European Union’s Horizon 2020 research and innovation program under the Maria Skłodowska-Curie grant agreement No 101034413.","_id":"19518","alternative_title":["Advances in Neural Information Processing Systems"],"date_published":"2024-12-20T00:00:00Z","status":"public","year":"2024","language":[{"iso":"eng"}],"article_processing_charge":"No","project":[{"_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","grant_number":"101034413","call_identifier":"H2020","name":"IST-BRIDGE: International postdoctoral program"}],"oa":1,"acknowledged_ssus":[{"_id":"CampIT"}],"scopus_import":"1","department":[{"_id":"DaAl"},{"_id":"MaMo"}]},{"month":"12","file_date_updated":"2025-04-07T09:17:10Z","date_updated":"2025-05-14T10:49:20Z","OA_place":"publisher","publication":"38th Conference on Neural Information Processing Systems","date_created":"2025-04-06T22:01:32Z","has_accepted_license":"1","title":"PV-tuning: Beyond straight-through estimation for extreme LLM compression","file":[{"date_created":"2025-04-07T09:17:10Z","file_id":"19521","checksum":"54d36f947887e26d0e568b512167001a","content_type":"application/pdf","access_level":"open_access","relation":"main_file","success":1,"creator":"dernst","date_updated":"2025-04-07T09:17:10Z","file_size":939712,"file_name":"2024_NeurIPS_Malinovskii.pdf"}],"OA_type":"gold","external_id":{"arxiv":["2405.14852"]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"conference","arxiv":1,"day":"20","author":[{"last_name":"Malinovskii","first_name":"Vladimir","full_name":"Malinovskii, Vladimir"},{"first_name":"Denis","last_name":"Mazur","full_name":"Mazur, Denis"},{"full_name":"Ilin, Ivan","first_name":"Ivan","last_name":"Ilin"},{"first_name":"Denis","last_name":"Kuznedelev","full_name":"Kuznedelev, Denis"},{"first_name":"Konstantin","last_name":"Burlachenko","full_name":"Burlachenko, Konstantin"},{"first_name":"Kai","last_name":"Yi","full_name":"Yi, Kai"},{"first_name":"Dan-Adrian","last_name":"Alistarh","full_name":"Alistarh, Dan-Adrian","orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Richtarik, Peter","last_name":"Richtarik","first_name":"Peter"}],"acknowledgement":"Authors would like to thank Vage Egiazarian, Andrei Panferov and Ruslan Svirschevski for their\r\nhelp and advice on AQLM codebase and running large-scale experiments. We also thank Philip\r\nZmushko and Artem Fedorov for helpful discussions during the early stages of our research. The research of Kai Yi, Konstantin Burlachenko, and Peter Richtárik reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) – Center of Excellence for Generative AI, under award number 5940. We would also like to thank our NeurIPS reviewers for their helpful suggestions, we specifically highlight p3Lv’s suggestions to consider smaller codebook sizes and evaluate PV-Tuning with QuIP#, both of which produced interesting findings. Finally, we thank the open-source contributors from llama.cpp9 and the LocalLlama10 community for discussions and inspirations on practical use cases of quantized language models, and in particular, Yalda Shabanzadeh and Arthur Aardvark for their help with improving the codebase.","volume":37,"quality_controlled":"1","year":"2024","status":"public","date_published":"2024-12-20T00:00:00Z","alternative_title":["Advances in Neural Information Processing Systems"],"_id":"19519","intvolume":" 37","citation":{"ama":"Malinovskii V, Mazur D, Ilin I, et al. PV-tuning: Beyond straight-through estimation for extreme LLM compression. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.","apa":"Malinovskii, V., Mazur, D., Ilin, I., Kuznedelev, D., Burlachenko, K., Yi, K., … Richtarik, P. (2024). PV-tuning: Beyond straight-through estimation for extreme LLM compression. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.","chicago":"Malinovskii, Vladimir, Denis Mazur, Ivan Ilin, Denis Kuznedelev, Konstantin Burlachenko, Kai Yi, Dan-Adrian Alistarh, and Peter Richtarik. “PV-Tuning: Beyond Straight-through Estimation for Extreme LLM Compression.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024.","mla":"Malinovskii, Vladimir, et al. “PV-Tuning: Beyond Straight-through Estimation for Extreme LLM Compression.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.","ieee":"V. Malinovskii et al., “PV-tuning: Beyond straight-through estimation for extreme LLM compression,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.","short":"V. Malinovskii, D. Mazur, I. Ilin, D. Kuznedelev, K. Burlachenko, K. Yi, D.-A. Alistarh, P. Richtarik, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","ista":"Malinovskii V, Mazur D, Ilin I, Kuznedelev D, Burlachenko K, Yi K, Alistarh D-A, Richtarik P. 2024. PV-tuning: Beyond straight-through estimation for extreme LLM compression. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37."},"conference":{"name":"NeurIPS: Neural Information Processing Systems","start_date":"2024-12-10","end_date":"2024-12-15","location":"Vancouver, Canada"},"publication_identifier":{"isbn":["9798331314385"],"issn":["1049-5258"]},"publisher":"Neural Information Processing Systems Foundation","publication_status":"published","abstract":[{"text":"There has been significant interest in \"extreme\" compression of large language models (LLMs), i.e. to 1-2 bits per parameter, which allows such models to be executed efficiently on resource-constrained devices. Existing work focused on improved one-shot quantization techniques and weight representations; yet, purely post-training approaches are reaching diminishing returns in terms of the accuracy-vs-bit-width trade-off. State-of-the-art quantization methods such as QuIP# and AQLM include fine-tuning (part of) the compressed parameters over a limited amount of calibration data; however, such fine-tuning techniques over compressed weights often make exclusive use of straight-through estimators (STE), whose performance is not well-understood in this setting. In this work, we question the use of STE for extreme LLM compression, showing that it can be sub-optimal, and perform a systematic study of quantization-aware fine-tuning strategies for LLMs.We propose PV-Tuning - a representation-agnostic framework that generalizes and improves upon existing fine-tuning strategies, and provides convergence guarantees in restricted cases.On the practical side, when used for 1-2 bit vector quantization, PV-Tuning outperforms prior techniques for highly-performant models such as Llama and Mistral. Using PV-Tuning, we achieve the first Pareto-optimal quantization for Llama-2 family models at 2 bits per parameter.","lang":"eng"}],"oa_version":"Published Version","language":[{"iso":"eng"}],"scopus_import":"1","department":[{"_id":"DaAl"}],"oa":1,"article_processing_charge":"No","ddc":["000"]},{"language":[{"iso":"eng"}],"oa":1,"acknowledged_ssus":[{"_id":"Bio"}],"department":[{"_id":"LoSw"},{"_id":"TiVo"},{"_id":"Bio"},{"_id":"NiBa"}],"OA_type":"green","project":[{"name":"Development of V1 interneuron diversity during swim-to-walk transition of Xenopus metamorphosis","grant_number":"FTI21-D-046","_id":"bd73af52-d553-11ed-ba76-912049f0ac7a"},{"_id":"ebb66355-77a9-11ec-83b8-b8ac210a4dae","name":"Development and Evolution of Tetrapod Motor Circuits","grant_number":"101041551"},{"name":"Tools for automation and feedback microscopy","grant_number":"CZI01","_id":"c08e9ad1-5a5b-11eb-8a69-9d1cf3b07473"}],"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"preprint","day":"27","author":[{"last_name":"Vijatovic","first_name":"David","id":"cf391e77-ec3c-11ea-a124-d69323410b58","full_name":"Vijatovic, David"},{"full_name":"Toma, Florina Alexandra ","id":"2f73f876-f128-11eb-9611-b96b5a30cb0e","first_name":"Florina Alexandra ","last_name":"Toma"},{"last_name":"Harrington","first_name":"Zoe P","id":"a8144562-32c9-11ee-b5ce-d9800628bda2","orcid":"0009-0008-0158-4032","full_name":"Harrington, Zoe P"},{"last_name":"Sommer","first_name":"Christoph M","full_name":"Sommer, Christoph M","orcid":"0000-0003-1216-9105","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Robert","last_name":"Hauschild","id":"4E01D6B4-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9843-3522","full_name":"Hauschild, Robert"},{"full_name":"Trevisan, Alexandra J.","last_name":"Trevisan","first_name":"Alexandra J."},{"last_name":"Chapman","first_name":"Phillip","full_name":"Chapman, Phillip"},{"first_name":"Mara","last_name":"Julseth","full_name":"Julseth, Mara","id":"1cf464b2-dc7d-11ea-9b2f-f9b1aa9417d1"},{"last_name":"Brenner-Morton","first_name":"Susan","full_name":"Brenner-Morton, Susan"},{"last_name":"Gabitto","first_name":"Mariano I.","full_name":"Gabitto, Mariano I."},{"full_name":"Dasen, Jeremy S.","first_name":"Jeremy S.","last_name":"Dasen"},{"full_name":"Bikoff, Jay B.","last_name":"Bikoff","first_name":"Jay B."},{"last_name":"Sweeney","first_name":"Lora Beatrice Jaeger","id":"56BE8254-C4F0-11E9-8E45-0B23E6697425","full_name":"Sweeney, Lora Beatrice Jaeger","orcid":"0000-0001-9242-5601"}],"doi":"10.1101/2024.09.20.614050","acknowledgement":"We would like to thank the members of the Sweeney Lab (especially Stavros Papadopoulos and\r\nSophie Gobeil) for their contributions to this project and, in addition to the lab, Graziana Gatto\r\nand Mario de Bono, for discussion, and support. We are also grateful to Tom Jessell and Chris\r\nKintner for their scientific insight and mentorship during the conception of this project. This\r\nproject would also not have been possible with the technical support of the Matthias Nowak,\r\nVerena Mayer and the Aquatics as well as the Imaging and Optics Facility support teams\r\n(ISTA). In addition, we thank our funding sources for providing the resources to do these\r\nexperiments: FTI Strategy Lower Austria Dissertation Grant Number FT121-D-046 (D.V.);\r\nHorizon Europe ERC Starting Grant Number 101041551 (L.B.S., F.A.T. and D.V); Special\r\nResearch Program (SFB) of the Austrian Science Fund (FWF) Project number F7814-B (L.B.S);\r\nNINDS 5R35NS116858 (J.S.D); CZI grant DAF2020-225401 (DOI): 10.37921/120055ratwvi\r\n(R.H.); NIH grant number R01NS123116 (J.B.B); American Lebanese Syrian Associated\r\nCharities (ALSAC) (J.B.B.); German Academic Exchange Service (DAAD) IFI Grant Number\r\n57515251-91853472 (Z.H.); and Project A.L.S. (S.B-M.). ","month":"09","status":"public","year":"2024","_id":"19520","date_published":"2024-09-27T00:00:00Z","fulldoi":"https://doi.org/10.1101/2024.09.20.614050","date_updated":"2025-05-14T11:40:13Z","citation":{"short":"D. Vijatovic, F.A. Toma, Z.P. Harrington, C.M. Sommer, R. Hauschild, A.J. Trevisan, P. Chapman, M. Julseth, S. Brenner-Morton, M.I. Gabitto, J.S. Dasen, J.B. Bikoff, L.B. Sweeney, BioRxiv (n.d.).","ista":"Vijatovic D, Toma FA, Harrington ZP, Sommer CM, Hauschild R, Trevisan AJ, Chapman P, Julseth M, Brenner-Morton S, Gabitto MI, Dasen JS, Bikoff JB, Sweeney LB. Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis. bioRxiv, 10.1101/2024.09.20.614050.","ama":"Vijatovic D, Toma FA, Harrington ZP, et al. Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis. bioRxiv. doi:10.1101/2024.09.20.614050","apa":"Vijatovic, D., Toma, F. A., Harrington, Z. P., Sommer, C. M., Hauschild, R., Trevisan, A. J., … Sweeney, L. B. (n.d.). Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis. bioRxiv. https://doi.org/10.1101/2024.09.20.614050","chicago":"Vijatovic, David, Florina Alexandra Toma, Zoe P Harrington, Christoph M Sommer, Robert Hauschild, Alexandra J. Trevisan, Phillip Chapman, et al. “Spinal Neuron Diversity Scales Exponentially with Swim-to-Limb Transformation during Frog Metamorphosis.” BioRxiv, n.d. https://doi.org/10.1101/2024.09.20.614050.","ieee":"D. Vijatovic et al., “Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis,” bioRxiv. .","mla":"Vijatovic, David, et al. “Spinal Neuron Diversity Scales Exponentially with Swim-to-Limb Transformation during Frog Metamorphosis.” BioRxiv, doi:10.1101/2024.09.20.614050."},"OA_place":"repository","publication_status":"submitted","date_created":"2025-04-07T08:48:28Z","publication":"bioRxiv","abstract":[{"lang":"eng","text":"Vertebrates exhibit a wide range of motor behaviors, ranging from swimming to complex limb-based movements. Here we take advantage of frog metamorphosis, which captures a swim-to-limb-based movement transformation during the development of a single organism, to explore changes in the underlying spinal circuits. We find that the tadpole spinal cord contains small and largely homogeneous populations of motor neurons (MNs) and V1 interneurons (V1s) at early escape swimming stages. These neuronal populations only modestly increase in number and subtype heterogeneity with the emergence of free swimming. In contrast, during frog metamorphosis and the emergence of limb movement, there is a dramatic expansion of MN and V1 interneuron number and transcriptional heterogeneity, culminating in cohorts of neurons that exhibit striking molecular similarity to mammalian motor circuits. CRISPR/Cas9-mediated gene disruption of the limb MN and V1 determinants FoxP1 and Engrailed-1, respectively, results in severe but selective deficits in tail and limb function. Our work thus demonstrates that neural diversity scales exponentially with increasing behavioral complexity and illustrates striking evolutionary conservation in the molecular organization and function of motor circuits across species."}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1101/2024.09.20.614050"}],"corr_author":"1","title":"Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis","oa_version":"Preprint"},{"oa":1,"department":[{"_id":"ToHe"}],"OA_type":"green","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","related_material":{"record":[{"status":"public","id":"19796","relation":"used_in_publication"}]},"type":"research_data_reference","ddc":["000"],"author":[{"full_name":"trinh, Van Giang","last_name":"trinh","first_name":"Van Giang"},{"last_name":"Park","first_name":"Kyu Hyong","full_name":"Park, Kyu Hyong"},{"last_name":"Pastva","first_name":"Samuel","full_name":"Pastva, Samuel","orcid":"0000-0003-1993-0331","id":"07c5ea74-f61c-11ec-a664-aa7c5d957b2b"},{"last_name":"Rozum","first_name":"Jordan","full_name":"Rozum, Jordan"}],"day":"28","doi":"10.5281/ZENODO.13854759","month":"09","status":"public","year":"2024","_id":"19800","fulldoi":"https://doi.org/10.5281/ZENODO.13854759","date_published":"2024-09-28T00:00:00Z","date_updated":"2025-09-30T12:46:33Z","citation":{"ista":"trinh VG, Park KH, Pastva S, Rozum J. 2024. Mapping the attractor landscape of Boolean networks, Zenodo, 10.5281/ZENODO.13854759.","short":"V.G. trinh, K.H. Park, S. Pastva, J. Rozum, (2024).","ama":"trinh VG, Park KH, Pastva S, Rozum J. Mapping the attractor landscape of Boolean networks. 2024. doi:10.5281/ZENODO.13854759","apa":"trinh, V. G., Park, K. H., Pastva, S., & Rozum, J. (2024). Mapping the attractor landscape of Boolean networks. Zenodo. https://doi.org/10.5281/ZENODO.13854759","chicago":"trinh, Van Giang, Kyu Hyong Park, Samuel Pastva, and Jordan Rozum. “Mapping the Attractor Landscape of Boolean Networks.” Zenodo, 2024. https://doi.org/10.5281/ZENODO.13854759.","ieee":"V. G. trinh, K. H. Park, S. Pastva, and J. Rozum, “Mapping the attractor landscape of Boolean networks.” Zenodo, 2024.","mla":"trinh, Van Giang, et al. Mapping the Attractor Landscape of Boolean Networks. Zenodo, 2024, doi:10.5281/ZENODO.13854759."},"OA_place":"repository","publisher":"Zenodo","date_created":"2025-06-10T07:10:01Z","abstract":[{"text":"This archive contains all the code and data necessary to reproduce the results presented in the \r\n\"Mapping the attractor landscape of Boolean networks\" paper.","lang":"eng"}],"main_file_link":[{"url":"https://doi.org/10.5281/zenodo.13854760","open_access":"1"}],"title":"Mapping the attractor landscape of Boolean networks","has_accepted_license":"1","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa_version":"Published Version"},{"article_processing_charge":"No","department":[{"_id":"DaAl"}],"oa":1,"type":"research_data_reference","related_material":{"record":[{"status":"public","id":"19877","relation":"used_for_analysis_in"}]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","day":"24","author":[{"full_name":"Frantar, Elias","id":"09a8f98d-ec99-11ea-ae11-c063a7b7fe5f","first_name":"Elias","last_name":"Frantar"},{"last_name":"Castro","first_name":"Roberto","full_name":"Castro, Roberto"},{"last_name":"Chen","first_name":"Jiale","id":"4d0a9064-1ff6-11ee-9fa6-ec046c604785","orcid":"0000-0001-5337-5875","full_name":"Chen, Jiale"},{"full_name":"Hoefler, Torsten","first_name":"Torsten","last_name":"Hoefler"},{"id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","full_name":"Alistarh, Dan-Adrian","orcid":"0000-0003-3650-940X","first_name":"Dan-Adrian","last_name":"Alistarh"}],"ddc":["000"],"month":"11","doi":"10.5281/ZENODO.14213091","date_published":"2024-11-24T00:00:00Z","fulldoi":"https://doi.org/10.5281/ZENODO.14213091","date_updated":"2025-09-30T13:41:56Z","_id":"19884","year":"2024","status":"public","date_created":"2025-06-24T06:09:18Z","publisher":"Zenodo","OA_place":"repository","citation":{"mla":"Frantar, Elias, et al. MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models. Zenodo, 2024, doi:10.5281/ZENODO.14213091.","ieee":"E. Frantar, R. Castro, J. Chen, T. Hoefler, and D.-A. Alistarh, “MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models.” Zenodo, 2024.","chicago":"Frantar, Elias, Roberto Castro, Jiale Chen, Torsten Hoefler, and Dan-Adrian Alistarh. “MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models.” Zenodo, 2024. https://doi.org/10.5281/ZENODO.14213091.","apa":"Frantar, E., Castro, R., Chen, J., Hoefler, T., & Alistarh, D.-A. (2024). MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models. Zenodo. https://doi.org/10.5281/ZENODO.14213091","ama":"Frantar E, Castro R, Chen J, Hoefler T, Alistarh D-A. MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models. 2024. doi:10.5281/ZENODO.14213091","short":"E. Frantar, R. Castro, J. Chen, T. Hoefler, D.-A. Alistarh, (2024).","ista":"Frantar E, Castro R, Chen J, Hoefler T, Alistarh D-A. 2024. MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models, Zenodo, 10.5281/ZENODO.14213091."},"oa_version":"Published Version","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"has_accepted_license":"1","title":"MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/ZENODO.14213091"}],"corr_author":"1","abstract":[{"text":"This is Marlin, a Mixed Auto-Regressive Linear kernel (and the name of one of the planet's fastest fish), an extremely optimized FP16xINT4 matmul kernel aimed at LLM inference that can deliver close to ideal (4x) speedups up to batchsizes of 16-32 tokens (in contrast to the 1-2 tokens of prior work with comparable speedup).\r\n\r\nAdditionally, it includes Sparse-Marlin, an extension of the MARLIN kernels adding support to 2:4 weight sparsity, achieving 5.3x speedups on NVIDIA GPUs (Ampere/Ada).","lang":"eng"}]},{"oa_version":"None","abstract":[{"text":"This Comment presents a high-level protocol for data harmonization within large cohorts, in which it postulates four main steps including (1) expert review, (2) pre-statistical harmonization, (3) statistical harmonization, and (4) validation.","lang":"eng"}],"publication_status":"published","publisher":"Springer Nature","publication_identifier":{"eissn":["2731-6076"]},"citation":{"ista":"Neidhart M, Kjelkenes R, Jansone K, Rehák Bučková B, Holz N, Nees F, Walter H, Schumann G, Rapp MA, Banaschewski T, Schwarz E, Marquand A, Ogoh G, Stahl B, Young AH, Desrivières S, Clinton N, Thompson P, Schwalber A, Liu J, Calhoun V, Chang X, Xia Y, Gong Y, Jia T, Renner P, Hese S, Giner A, Sanchez M, Alvarez E, Spanlang B, Pearmund C, Athanasiadis AP, Otten L, Pitel S, Petkoski S, Jirsa V, Schmitt K, Wilbertz J, Patraskaki M, Sommer P, Heilmann-Heimbach S, Mathey CM, Miller A, Claus I, Nöthen MM, Hoffmann P, Forstner AJ, Pastor A, Gallego J, Orosa FE, Viapiana GF, Slater M, Marr L, Novarino G, Böttger SJ, Tschorn M, Rapp M, Ask H, Fernandez S, Van Der Meer D, Westlye LT, Andreassen OA, Aden R, Seefried B, Siehl S, Nees F, Stringaris A, Tost H, Meyer-Lindenberg A, Christmann N, Banks J, Schepanski K, Schütz T, Taron UH, Eils R, Roy JC, Lett TA, Kebir H, Polemiti E, Hitchen E, Jentsch M, Serin E, Bernas A, Vaidya N, Twardziok S, Ralser M, Heinz A. 2024. A protocol for data harmonization in large cohorts. Nature Mental Health. 2(10), 1134–1137.","short":"M. Neidhart, R. Kjelkenes, K. Jansone, B. Rehák Bučková, N. Holz, F. Nees, H. Walter, G. Schumann, M.A. Rapp, T. Banaschewski, E. Schwarz, A. Marquand, G. Ogoh, B. Stahl, A.H. Young, S. Desrivières, N. Clinton, P. Thompson, A. Schwalber, J. Liu, V. Calhoun, X. Chang, Y. Xia, Y. Gong, T. Jia, P. Renner, S. Hese, A. Giner, M. Sanchez, E. Alvarez, B. Spanlang, C. Pearmund, A.P. Athanasiadis, L. Otten, S. Pitel, S. Petkoski, V. Jirsa, K. Schmitt, J. Wilbertz, M. Patraskaki, P. Sommer, S. Heilmann-Heimbach, C.M. Mathey, A. Miller, I. Claus, M.M. Nöthen, P. Hoffmann, A.J. Forstner, A. Pastor, J. Gallego, F.E. Orosa, G.F. Viapiana, M. Slater, L. Marr, G. Novarino, S.J. Böttger, M. Tschorn, M. Rapp, H. Ask, S. Fernandez, D. Van Der Meer, L.T. Westlye, O.A. Andreassen, R. Aden, B. Seefried, S. Siehl, F. Nees, A. Stringaris, H. Tost, A. Meyer-Lindenberg, N. Christmann, J. Banks, K. Schepanski, T. Schütz, U.H. Taron, R. Eils, J.C. Roy, T.A. Lett, H. Kebir, E. Polemiti, E. Hitchen, M. Jentsch, E. Serin, A. Bernas, N. Vaidya, S. Twardziok, M. Ralser, A. Heinz, Nature Mental Health 2 (2024) 1134–1137.","apa":"Neidhart, M., Kjelkenes, R., Jansone, K., Rehák Bučková, B., Holz, N., Nees, F., … Heinz, A. (2024). A protocol for data harmonization in large cohorts. Nature Mental Health. Springer Nature. https://doi.org/10.1038/s44220-024-00315-0","ama":"Neidhart M, Kjelkenes R, Jansone K, et al. A protocol for data harmonization in large cohorts. Nature Mental Health. 2024;2(10):1134-1137. doi:10.1038/s44220-024-00315-0","chicago":"Neidhart, Maja, Rikka Kjelkenes, Karina Jansone, Barbora Rehák Bučková, Nathalie Holz, Frauke Nees, Henrik Walter, et al. “A Protocol for Data Harmonization in Large Cohorts.” Nature Mental Health. Springer Nature, 2024. https://doi.org/10.1038/s44220-024-00315-0.","mla":"Neidhart, Maja, et al. “A Protocol for Data Harmonization in Large Cohorts.” Nature Mental Health, vol. 2, no. 10, Springer Nature, 2024, pp. 1134–37, doi:10.1038/s44220-024-00315-0.","ieee":"M. Neidhart et al., “A protocol for data harmonization in large cohorts,” Nature Mental Health, vol. 2, no. 10. Springer Nature, pp. 1134–1137, 2024."},"intvolume":" 2","_id":"20039","date_published":"2024-10-01T00:00:00Z","status":"public","year":"2024","quality_controlled":"1","volume":2,"doi":"10.1038/s44220-024-00315-0","acknowledgement":"Funded by the European Union. Complementary funding was received by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee (10041392 and 10038599). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union, the European Health and Digital Executive Agency (HADEA) or UKRI. The European Union, HADEA or UKRI cannot be held responsible for them. This work received support from the Chinese Ministry for Science and Technology (MOST), the Horizon 2020-funded European Research Council advanced grant ‘STRATIFY’ (695313); the German Research Foundation (COPE; 675346; NE 1383/15-1 and BA 2088/7-1 (CoviDrug)), the National Natural Science Foundation of China grant 82150710554, the Hector II foundation and the German Center for Mental Health (DZPG) (01EE2301A, 01EE2304A, 01EE2301D).","article_processing_charge":"No","scopus_import":"1","department":[{"_id":"GaNo"}],"language":[{"iso":"eng"}],"title":"A protocol for data harmonization in large cohorts","date_created":"2025-07-20T22:02:04Z","publication":"Nature Mental Health","date_updated":"2025-07-22T08:59:10Z","fulldoi":"https://doi.org/10.1038/s44220-024-00315-0","month":"10","issue":"10","page":"1134-1137","author":[{"full_name":"Neidhart, Maja","last_name":"Neidhart","first_name":"Maja"},{"full_name":"Kjelkenes, Rikka","last_name":"Kjelkenes","first_name":"Rikka"},{"first_name":"Karina","last_name":"Jansone","full_name":"Jansone, Karina"},{"full_name":"Rehák Bučková, Barbora","last_name":"Rehák Bučková","first_name":"Barbora"},{"full_name":"Holz, Nathalie","first_name":"Nathalie","last_name":"Holz"},{"last_name":"Nees","first_name":"Frauke","full_name":"Nees, Frauke"},{"full_name":"Walter, Henrik","last_name":"Walter","first_name":"Henrik"},{"full_name":"Schumann, Gunter","first_name":"Gunter","last_name":"Schumann"},{"full_name":"Rapp, Michael A.","first_name":"Michael A.","last_name":"Rapp"},{"full_name":"Banaschewski, Tobias","last_name":"Banaschewski","first_name":"Tobias"},{"first_name":"Emanuel","last_name":"Schwarz","full_name":"Schwarz, Emanuel"},{"last_name":"Marquand","first_name":"Andre","full_name":"Marquand, Andre"},{"last_name":"Ogoh","first_name":"George","full_name":"Ogoh, George"},{"last_name":"Stahl","first_name":"Bernd","full_name":"Stahl, Bernd"},{"last_name":"Young","first_name":"Allan H.","full_name":"Young, Allan H."},{"full_name":"Desrivières, Sylvane","first_name":"Sylvane","last_name":"Desrivières"},{"last_name":"Clinton","first_name":"Nicholas","full_name":"Clinton, Nicholas"},{"last_name":"Thompson","first_name":"Paul","full_name":"Thompson, Paul"},{"first_name":"Ameli","last_name":"Schwalber","full_name":"Schwalber, Ameli"},{"full_name":"Liu, Jingyu","last_name":"Liu","first_name":"Jingyu"},{"full_name":"Calhoun, Vince","first_name":"Vince","last_name":"Calhoun"},{"last_name":"Chang","first_name":"Xiao","full_name":"Chang, Xiao"},{"last_name":"Xia","first_name":"Yunman","full_name":"Xia, Yunman"},{"full_name":"Gong, Yanting","last_name":"Gong","first_name":"Yanting"},{"full_name":"Jia, Tianye","first_name":"Tianye","last_name":"Jia"},{"full_name":"Renner, Paul","first_name":"Paul","last_name":"Renner"},{"last_name":"Hese","first_name":"Sören","full_name":"Hese, Sören"},{"full_name":"Giner, Arantxa","first_name":"Arantxa","last_name":"Giner"},{"last_name":"Sanchez","first_name":"Mavi","full_name":"Sanchez, Mavi"},{"last_name":"Alvarez","first_name":"Elena","full_name":"Alvarez, Elena"},{"first_name":"Bernhard","last_name":"Spanlang","full_name":"Spanlang, Bernhard"},{"first_name":"Charlie","last_name":"Pearmund","full_name":"Pearmund, Charlie"},{"full_name":"Athanasiadis, Anastasios Polykarpos","last_name":"Athanasiadis","first_name":"Anastasios Polykarpos"},{"last_name":"Otten","first_name":"Lisa","full_name":"Otten, Lisa"},{"first_name":"Séverine","last_name":"Pitel","full_name":"Pitel, Séverine"},{"full_name":"Petkoski, Spase","last_name":"Petkoski","first_name":"Spase"},{"last_name":"Jirsa","first_name":"Viktor","full_name":"Jirsa, Viktor"},{"full_name":"Schmitt, Karen","last_name":"Schmitt","first_name":"Karen"},{"full_name":"Wilbertz, Johannes","first_name":"Johannes","last_name":"Wilbertz"},{"full_name":"Patraskaki, Myrto","first_name":"Myrto","last_name":"Patraskaki"},{"last_name":"Sommer","first_name":"Peter","full_name":"Sommer, Peter"},{"first_name":"Stefanie","last_name":"Heilmann-Heimbach","full_name":"Heilmann-Heimbach, Stefanie"},{"first_name":"Carina M.","last_name":"Mathey","full_name":"Mathey, Carina M."},{"first_name":"Abigail","last_name":"Miller","full_name":"Miller, Abigail"},{"last_name":"Claus","first_name":"Isabelle","full_name":"Claus, Isabelle"},{"full_name":"Nöthen, Markus M.","first_name":"Markus M.","last_name":"Nöthen"},{"full_name":"Hoffmann, Per","first_name":"Per","last_name":"Hoffmann"},{"full_name":"Forstner, Andreas J.","last_name":"Forstner","first_name":"Andreas J."},{"first_name":"Alvaro","last_name":"Pastor","full_name":"Pastor, Alvaro"},{"last_name":"Gallego","first_name":"Jaime","full_name":"Gallego, Jaime"},{"full_name":"Orosa, Francisco Eiroa","first_name":"Francisco Eiroa","last_name":"Orosa"},{"full_name":"Viapiana, Guillem Feixas","last_name":"Viapiana","first_name":"Guillem Feixas"},{"full_name":"Slater, Mel","first_name":"Mel","last_name":"Slater"},{"full_name":"Marr, Lena","id":"4406F586-F248-11E8-B48F-1D18A9856A87","first_name":"Lena","last_name":"Marr"},{"orcid":"0000-0002-7673-7178","full_name":"Novarino, Gaia","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","first_name":"Gaia","last_name":"Novarino"},{"full_name":"Böttger, Sarah Jane","last_name":"Böttger","first_name":"Sarah Jane"},{"last_name":"Tschorn","first_name":"Mira","full_name":"Tschorn, Mira"},{"first_name":"Michael","last_name":"Rapp","full_name":"Rapp, Michael"},{"full_name":"Ask, Helga","first_name":"Helga","last_name":"Ask"},{"full_name":"Fernandez, Sara","first_name":"Sara","last_name":"Fernandez"},{"last_name":"Van Der Meer","first_name":"Dennis","full_name":"Van Der Meer, Dennis"},{"first_name":"Lars T.","last_name":"Westlye","full_name":"Westlye, Lars T."},{"full_name":"Andreassen, Ole A.","first_name":"Ole A.","last_name":"Andreassen"},{"full_name":"Aden, Rieke","first_name":"Rieke","last_name":"Aden"},{"full_name":"Seefried, Beke","last_name":"Seefried","first_name":"Beke"},{"full_name":"Siehl, Sebastian","last_name":"Siehl","first_name":"Sebastian"},{"full_name":"Nees, Frauke","first_name":"Frauke","last_name":"Nees"},{"full_name":"Stringaris, Argyris","first_name":"Argyris","last_name":"Stringaris"},{"full_name":"Tost, Heike","last_name":"Tost","first_name":"Heike"},{"full_name":"Meyer-Lindenberg, Andreas","last_name":"Meyer-Lindenberg","first_name":"Andreas"},{"last_name":"Christmann","first_name":"Nina","full_name":"Christmann, Nina"},{"last_name":"Banks","first_name":"Jamie","full_name":"Banks, Jamie"},{"last_name":"Schepanski","first_name":"Kerstin","full_name":"Schepanski, Kerstin"},{"full_name":"Schütz, Tatjana","first_name":"Tatjana","last_name":"Schütz"},{"first_name":"Ulrike Helene","last_name":"Taron","full_name":"Taron, Ulrike Helene"},{"first_name":"Roland","last_name":"Eils","full_name":"Eils, Roland"},{"full_name":"Roy, Jean Charles","last_name":"Roy","first_name":"Jean Charles"},{"last_name":"Lett","first_name":"Tristram A.","full_name":"Lett, Tristram A."},{"last_name":"Kebir","first_name":"Hedi","full_name":"Kebir, Hedi"},{"first_name":"Elli","last_name":"Polemiti","full_name":"Polemiti, Elli"},{"full_name":"Hitchen, Esther","last_name":"Hitchen","first_name":"Esther"},{"full_name":"Jentsch, Marcel","last_name":"Jentsch","first_name":"Marcel"},{"full_name":"Serin, Emin","first_name":"Emin","last_name":"Serin"},{"last_name":"Bernas","first_name":"Antoine","full_name":"Bernas, Antoine"},{"full_name":"Vaidya, Nilakshi","last_name":"Vaidya","first_name":"Nilakshi"},{"full_name":"Twardziok, Sven","last_name":"Twardziok","first_name":"Sven"},{"full_name":"Ralser, Markus","last_name":"Ralser","first_name":"Markus"},{"last_name":"Heinz","first_name":"Andreas","full_name":"Heinz, Andreas"}],"day":"01","type":"journal_article","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","OA_type":"closed access","article_type":"comment"},{"abstract":[{"lang":"eng","text":"In article number 2305128, Qing Sun, Shang Wang, Yanhong Tian, Andreu Cabot, and co-workers report an investigation of the energy-storage mechanism of a layered Bi2Te3-based cathode for aqueous zinc-ion batteries (ZIBs). They demonstrate that the zinc ion is not inserted into the cathode as previously assumed; in contrast, proton charge-storage dominates the process. They also demonstrate the great application prospects of aqueous ZIBs in flexible electronics via jet printing technology."}],"oa_version":"Published Version","intvolume":" 36","citation":{"short":"G. Zeng, Q. Sun, S. Horta, S. Wang, X. Lu, C.Y. Zhang, J. Li, J. Li, L. Ci, Y. Tian, M. Ibáñez, A. Cabot, A Layered Bi2Te3@PPy Cathode for Aqueous Zinc‐Ion Batteries: Mechanism and Application in Printed Flexible Batteries, Wiley, 2024.","ista":"Zeng G, Sun Q, Horta S, Wang S, Lu X, Zhang CY, Li J, Li J, Ci L, Tian Y, Ibáñez M, Cabot A. 2024. A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries, Wiley,p.","chicago":"Zeng, Guifang, Qing Sun, Sharona Horta, Shang Wang, Xuan Lu, Chao Yue Zhang, Jing Li, et al. A Layered Bi2Te3@PPy Cathode for Aqueous Zinc‐Ion Batteries: Mechanism and Application in Printed Flexible Batteries. Advanced Materials. Vol. 36. Wiley, 2024. https://doi.org/10.1002/adma.202470004.","mla":"Zeng, Guifang, et al. “A Layered Bi2Te3@PPy Cathode for Aqueous Zinc‐Ion Batteries: Mechanism and Application in Printed Flexible Batteries.” Advanced Materials, vol. 36, no. 1, 2470004, Wiley, 2024, doi:10.1002/adma.202470004.","ieee":"G. Zeng et al., A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries, vol. 36, no. 1. Wiley, 2024.","ama":"Zeng G, Sun Q, Horta S, et al. A Layered Bi2Te3@PPy Cathode for Aqueous Zinc‐Ion Batteries: Mechanism and Application in Printed Flexible Batteries. Vol 36. Wiley; 2024. doi:10.1002/adma.202470004","apa":"Zeng, G., Sun, Q., Horta, S., Wang, S., Lu, X., Zhang, C. Y., … Cabot, A. (2024). A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries. Advanced Materials (Vol. 36). Wiley. https://doi.org/10.1002/adma.202470004"},"publication_identifier":{"eissn":["1521-4095"],"issn":["0935-9648"]},"publisher":"Wiley","publication_status":"published","year":"2024","status":"public","date_published":"2024-01-04T00:00:00Z","_id":"20057","doi":"10.1002/adma.202470004","volume":36,"quality_controlled":"1","ddc":["530"],"department":[{"_id":"MaIb"}],"oa":1,"article_number":"2470004","article_processing_charge":"No","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://doi.org/10.1002/adma.202470004","open_access":"1"}],"title":"A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries","OA_place":"publisher","publication":"Advanced Materials","date_created":"2025-07-21T08:53:06Z","fulldoi":"https://doi.org/10.1002/adma.202470004","date_updated":"2026-06-18T18:19:28Z","issue":"1","month":"01","author":[{"full_name":"Zeng, Guifang","last_name":"Zeng","first_name":"Guifang"},{"full_name":"Sun, Qing","last_name":"Sun","first_name":"Qing"},{"id":"03a7e858-01b1-11ec-8b71-99ae6c4a05bc","full_name":"Horta, Sharona","first_name":"Sharona","last_name":"Horta"},{"full_name":"Wang, Shang","last_name":"Wang","first_name":"Shang"},{"first_name":"Xuan","last_name":"Lu","full_name":"Lu, Xuan"},{"full_name":"Zhang, Chao Yue","first_name":"Chao Yue","last_name":"Zhang"},{"last_name":"Li","first_name":"Jing","full_name":"Li, Jing"},{"last_name":"Li","first_name":"Junshan","full_name":"Li, Junshan"},{"last_name":"Ci","first_name":"Lijie","full_name":"Ci, Lijie"},{"last_name":"Tian","first_name":"Yanhong","full_name":"Tian, Yanhong"},{"id":"43C61214-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-5013-2843","full_name":"Ibáñez, Maria","first_name":"Maria","last_name":"Ibáñez"},{"full_name":"Cabot, Andreu","first_name":"Andreu","last_name":"Cabot"}],"day":"04","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"other_academic_publication","OA_type":"free access"},{"ddc":["570"],"language":[{"iso":"eng"}],"oa":1,"article_processing_charge":"Yes","citation":{"short":"S. Carls-Diamante, A. Laciny, Lógoi. Revista de Filosofía (2024) 88–114.","ista":"Carls-Diamante S, Laciny A. 2024. Stuck in uncertainty: A predictive processing/ active inference account of procrastination-like behaviour in autism. Lógoi. Revista de Filosofía. (45), 88–114.","ama":"Carls-Diamante S, Laciny A. Stuck in uncertainty: A predictive processing/ active inference account of procrastination-like behaviour in autism. Lógoi Revista de Filosofía. 2024;(45):88-114. doi:10.62876/lr.vi45.6481","apa":"Carls-Diamante, S., & Laciny, A. (2024). Stuck in uncertainty: A predictive processing/ active inference account of procrastination-like behaviour in autism. Lógoi. Revista de Filosofía. Universidad Católica Andrés Bello. https://doi.org/10.62876/lr.vi45.6481","ieee":"S. Carls-Diamante and A. Laciny, “Stuck in uncertainty: A predictive processing/ active inference account of procrastination-like behaviour in autism,” Lógoi. Revista de Filosofía, no. 45. Universidad Católica Andrés Bello, pp. 88–114, 2024.","chicago":"Carls-Diamante, Sidney, and Alice Laciny. “Stuck in Uncertainty: A Predictive Processing/ Active Inference Account of Procrastination-like Behaviour in Autism.” Lógoi. Revista de Filosofía. Universidad Católica Andrés Bello, 2024. https://doi.org/10.62876/lr.vi45.6481.","mla":"Carls-Diamante, Sidney, and Alice Laciny. “Stuck in Uncertainty: A Predictive Processing/ Active Inference Account of Procrastination-like Behaviour in Autism.” Lógoi. Revista de Filosofía, no. 45, Universidad Católica Andrés Bello, 2024, pp. 88–114, doi:10.62876/lr.vi45.6481."},"publisher":"Universidad Católica Andrés Bello","DOAJ_listed":"1","publication_status":"published","publication_identifier":{"issn":["2790-5144"],"eissn":["1316-693X"]},"corr_author":"1","abstract":[{"text":"Un fenómeno a menudo asociado con el autismo es un modo atípico de función ejecutiva, cuyas manifestaciones incluyen dificultad para iniciar tareas. En algunos casos, esto va acompañado de sentimientos de inercia y sensaciones que pueden describirse como inquietud y parálisis simultáneas. En consecuencia, la dificultad para iniciar las tareas puede dar lugar a la procrastinación, ya sea simplemente posponiendo el trabajo en la tarea objetivo o realizando otras tareas no relacionadas antes de dedicarse a la tarea objetivo. Curiosamente, sin embargo, también está documentado que, una vez iniciada una tarea, los autistas pueden centrarse en ella intensamente y durante periodos prolongados de tiempo, especialmente cuando les resulta interesante.
\r\nEste trabajo utiliza el procesamiento predictivo y la inferencia activa para modelar la relación entre la función ejecutiva, la procrastinación y la hiperfocalización en el autismo. Este modelo integra las causas conocidas y propuestas de los déficits en la función ejecutiva y el papel que desempeña el interés en la regulación de la atención y la motivación. El modelo propone que la procrastinación es el resultado de procesos diferenciales de minimización de errores de predicción, como la ponderación de estímulos sensoriales. Se discuten los vínculos con modelos propuestos previamente, como la coherencia central débil (CCC), y la teoría de los priores altos e inflexibles de los errores de predicción en el autismo (HIPPEA).","lang":"spa"},{"text":"A phenomenon often associated with autism is an atypical mode of executive function, manifestations of which include difficulty in initiating tasks. In some cases, this is accompanied by feelings of inertia and sensations that can be described as simultaneous restlessness and paralysis. Consequently, difficulty in getting started on tasks can result in procrastination, either by simply postponing working on the target task or by performing other unrelated tasks before engaging in the target task. Interestingly, however, it is also documented that once a task has been started, autistic persons may focus on it intensely and for prolonged periods of time, especially when it is interesting to them.This paper uses predictive processing and active inference to model therelationship between executive function, procrastination, and hyperfocus in autism. This model integrates the known and proposed causes of deficits in executive function and the role played by interest in attention regulation and motivation. The model proposes that procrastination is the outcome of differential prediction-error minimizing processes, such as weighting of sensory stimuli. Links to previously proposed models such as weak central coherence (WCC), and the theory of high, inflexible priors of prediction errors in autism (HIPPEA) are discussed","lang":"eng"}],"tmp":{"image":"/images/cc_by_nc_sa.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","short":"CC BY-NC-SA (4.0)"},"oa_version":"Published Version","doi":"10.62876/lr.vi45.6481","acknowledgement":"Sidney Carls-Diamante was supported by the Federal Ministry of Education and Research (BMBF) and the Baden-Württemberg Ministry of Science as part of the Excellence Strategy of the German Federal and State Governments. Alice Laciny was supported by the 2021 UNESCO L’Oréal grant for women in science, awarded for the project “Neurodiversity and anthropomorphism in social insect research”.","quality_controlled":"1","status":"public","year":"2024","_id":"20060","PlanS_conform":"1","date_published":"2024-03-19T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"journal_article","page":"88-114","author":[{"first_name":"Sidney","last_name":"Carls-Diamante","full_name":"Carls-Diamante, Sidney"},{"orcid":"0000-0002-5485-1391","full_name":"Laciny, Alice","id":"accace3f-3f77-11eb-b1df-f1221b04cb95","first_name":"Alice","last_name":"Laciny"}],"day":"19","article_type":"original","file":[{"date_created":"2025-09-09T08:48:53Z","content_type":"application/pdf","checksum":"04c950f26ad68455c3a303c87ccf2349","file_id":"20317","access_level":"open_access","relation":"main_file","success":1,"creator":"dernst","file_size":354124,"date_updated":"2025-09-09T08:48:53Z","file_name":"2025_Logoi_CarlsDiamante.pdf"}],"OA_type":"gold","OA_place":"publisher","date_created":"2025-07-21T10:35:39Z","publication":"Lógoi. Revista de Filosofía","title":"Stuck in uncertainty: A predictive processing/ active inference account of procrastination-like behaviour in autism","has_accepted_license":"1","license":"https://creativecommons.org/licenses/by-nc-sa/4.0/","month":"03","issue":"45","file_date_updated":"2025-09-09T08:48:53Z","date_updated":"2025-09-09T08:51:00Z","fulldoi":"https://doi.org/10.62876/lr.vi45.6481"},{"oa":1,"department":[{"_id":"EdHa"}],"article_processing_charge":"No","day":"18","ddc":["570"],"author":[{"full_name":"Nabeel, Arshed","last_name":"Nabeel","first_name":"Arshed"},{"first_name":"Ashwin","last_name":"Karichannavar","full_name":"Karichannavar, Ashwin"},{"last_name":"Palathingal","first_name":"Shuaib","full_name":"Palathingal, Shuaib"},{"first_name":"Jitesh","last_name":"Jhawar","full_name":"Jhawar, Jitesh"},{"last_name":"Brückner","first_name":"David","full_name":"Brückner, David","orcid":"0000-0001-7205-2975","id":"e1e86031-6537-11eb-953a-f7ab92be508d"},{"last_name":"Danny Raj","first_name":"Masila","full_name":"Danny Raj, Masila"},{"first_name":"Vishwesha","last_name":"Guttal","full_name":"Guttal, Vishwesha"}],"related_material":{"record":[{"relation":"used_for_analysis_in","status":"public","id":"20056"}]},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"research_data_reference","status":"public","year":"2024","_id":"20121","fulldoi":"https://doi.org/10.5281/ZENODO.7137151","date_updated":"2025-09-30T14:14:42Z","date_published":"2024-09-18T00:00:00Z","doi":"10.5281/ZENODO.7137151","acknowledgement":"This study was partially funded by Science and Engineering Research Board, Department of Science and Technology, Government of India to Vishwesha Guttal.","month":"09","title":"PyDaddy: A Python Package for Discovering SDEs from Time Series Data","abstract":[{"lang":"eng","text":"PyDaddy is an open source package which is a key contribution of the manuscript Nabeel et al, arXiv:2205.02645. The basic scientific premise for this package is to discover the nature of stochasticity in ecological time series datasets. It is well known that the stochasticity can affect the dynamics of ecological systems in counter-intuitive ways. Without understanding the equations (typically, in the form of stochastic differential equations or SDEs, in short) that govern the dynamics of populations or ecosystems, it's challenging to determine the impact of randomness on real datasets. In this manuscript and accompanying package, we introduce a methodology for discovering equations (SDEs) that transforms time series data of state variables into stochastic differential equations. This approach merges traditional stochastic calculus with modern equation-discovery techniques. We showcase the generality of our method through various applications and discuss its limitations and potential pitfalls, offering diagnostic measures to address these challenges."}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.7137151"}],"has_accepted_license":"1","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa_version":"Published Version","citation":{"ieee":"A. Nabeel et al., “PyDaddy: A Python Package for Discovering SDEs from Time Series Data.” Zenodo, 2024.","chicago":"Nabeel, Arshed, Ashwin Karichannavar, Shuaib Palathingal, Jitesh Jhawar, David Brückner, Masila Danny Raj, and Vishwesha Guttal. “PyDaddy: A Python Package for Discovering SDEs from Time Series Data.” Zenodo, 2024. https://doi.org/10.5281/ZENODO.7137151.","mla":"Nabeel, Arshed, et al. PyDaddy: A Python Package for Discovering SDEs from Time Series Data. Zenodo, 2024, doi:10.5281/ZENODO.7137151.","apa":"Nabeel, A., Karichannavar, A., Palathingal, S., Jhawar, J., Brückner, D., Danny Raj, M., & Guttal, V. (2024). PyDaddy: A Python Package for Discovering SDEs from Time Series Data. Zenodo. https://doi.org/10.5281/ZENODO.7137151","ama":"Nabeel A, Karichannavar A, Palathingal S, et al. PyDaddy: A Python Package for Discovering SDEs from Time Series Data. 2024. doi:10.5281/ZENODO.7137151","short":"A. Nabeel, A. Karichannavar, S. Palathingal, J. Jhawar, D. Brückner, M. Danny Raj, V. Guttal, (2024).","ista":"Nabeel A, Karichannavar A, Palathingal S, Jhawar J, Brückner D, Danny Raj M, Guttal V. 2024. PyDaddy: A Python Package for Discovering SDEs from Time Series Data, Zenodo, 10.5281/ZENODO.7137151."},"publisher":"Zenodo","date_created":"2025-08-05T06:49:59Z"},{"department":[{"_id":"GaNo"}],"scopus_import":"1","article_processing_charge":"No","language":[{"iso":"eng"}],"year":"2024","status":"public","date_published":"2024-10-01T00:00:00Z","_id":"20156","acknowledgement":"This work was supported by the Horizon 2021 (grant 101057429) and UK Research and Innovation (grants 10038599 and 10041392)-funded project environMENTAL. Other funding included the Medical Research Council and Medical Research Foundation (MR/R00465X/, MRF-058-0004-RG-DESRI, ‘ESTRA’- Neurobiological underpinning of eating disorders: integrative biopsychosocial longitudinal analyses in adolescents; and MR/S020306/1, MRF-058-0009-RG-DESR-C0759 ‘ESTRA’-Establishing causal relationships between biopsychosocial predictors and correlates of eating disorders and their mediation by neural pathways), the EU-funded FP6 Integrated Project IMAGEN (reinforcement-related behavior in normal brain function and psychopathology; LSHM-CT- 2007-037286), the Horizon 2020-funded European Research Council advanced grant for STRATIFY (brain network-based stratification of reinforcement-related disorders; 695313) and the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. This paper represents independent research, partly funded by the NIHR Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. The authors thank C. Schmäl for proofreading the manuscript.","doi":"10.1038/s44220-024-00317-y","volume":2,"quality_controlled":"1","abstract":[{"text":"Integrative analyses that incorporate different levels of ‘-omics’ data represent a powerful tool for deciphering the biological mechanisms that underlie environmental influences on mental health and disease. This Comment highlights various aspects of such multi-omics approaches, using the example of the EU-funded environMENTAL project.","lang":"eng"}],"oa_version":"None","intvolume":" 2","citation":{"apa":"Desrivières, S., Miller, A., Mathey, C. M., Yu, X., Chen, D., Agunbiade, K., … Walter, H. (2024). Multi-omics analyses of the environMENTAL project provide insights into mental health and disease. Nature Mental Health. Springer Nature. https://doi.org/10.1038/s44220-024-00317-y","ama":"Desrivières S, Miller A, Mathey CM, et al. Multi-omics analyses of the environMENTAL project provide insights into mental health and disease. Nature Mental Health. 2024;2(10):1131-1133. doi:10.1038/s44220-024-00317-y","mla":"Desrivières, Sylvane, et al. “Multi-Omics Analyses of the EnvironMENTAL Project Provide Insights into Mental Health and Disease.” Nature Mental Health, vol. 2, no. 10, Springer Nature, 2024, pp. 1131–33, doi:10.1038/s44220-024-00317-y.","ieee":"S. Desrivières et al., “Multi-omics analyses of the environMENTAL project provide insights into mental health and disease,” Nature Mental Health, vol. 2, no. 10. Springer Nature, pp. 1131–1133, 2024.","chicago":"Desrivières, Sylvane, Abigail Miller, Carina M. Mathey, Xinyang Yu, Di Chen, Kofoworola Agunbiade, Stefanie Heilmann-Heimbach, et al. “Multi-Omics Analyses of the EnvironMENTAL Project Provide Insights into Mental Health and Disease.” Nature Mental Health. Springer Nature, 2024. https://doi.org/10.1038/s44220-024-00317-y.","short":"S. Desrivières, A. Miller, C.M. Mathey, X. Yu, D. Chen, K. Agunbiade, S. Heilmann-Heimbach, A.J. Forstner, G. Schumann, P. Hoffmann, M.M. Nöthen, G. Ogoh, B. Stahl, A.H. Young, N. Clinton, P. Thompson, A. Schwalber, J. Liu, V. Calhoun, X. Chang, Y. Xia, Y. Gong, T. Jia, P. Renner, S. Hese, A. Giner, M. Sanchez, E. Alvarez, B. Spanlang, C. Pearmund, A.P. Athanasiadis, L. Otten, S. Pitel, S. Petkoski, V. Jirsa, K. Schmitt, J. Wilbertz, M. Patraskaki, P. Sommer, I. Claus, A. Pastor, J. Gallego, F.E. Orosa, G.F. Viapiana, M. Slater, L. Marr, G. Novarino, A. Marquand, S.J. Böttger, M. Tschorn, M. Rapp, H. Ask, R. Kjelkenes, S. Fernandez, D. Van Der Meer, L.T. Westlye, O.A. Andreassen, R. Aden, B. Seefried, S. Siehl, F. Nees, M. Neidhart, A. Stringaris, E. Schwarz, N. Holz, H. Tost, A. Meyer-Lindenberg, N. Christmann, K. Jansone, T. Banaschewski, J. Banks, K. Schepanski, T. Schütz, U.H. Taron, R. Eils, J.C. Roy, T.A. Lett, H. Kebir, E. Polemiti, E. Hitchen, M. Jentsch, E. Serin, A. Bernas, N. Vaidya, S. Twardziok, M. Ralser, A. Heinz, H. Walter, Nature Mental Health 2 (2024) 1131–1133.","ista":"Desrivières S, Miller A, Mathey CM, Yu X, Chen D, Agunbiade K, Heilmann-Heimbach S, Forstner AJ, Schumann G, Hoffmann P, Nöthen MM, Ogoh G, Stahl B, Young AH, Clinton N, Thompson P, Schwalber A, Liu J, Calhoun V, Chang X, Xia Y, Gong Y, Jia T, Renner P, Hese S, Giner A, Sanchez M, Alvarez E, Spanlang B, Pearmund C, Athanasiadis AP, Otten L, Pitel S, Petkoski S, Jirsa V, Schmitt K, Wilbertz J, Patraskaki M, Sommer P, Claus I, Pastor A, Gallego J, Orosa FE, Viapiana GF, Slater M, Marr L, Novarino G, Marquand A, Böttger SJ, Tschorn M, Rapp M, Ask H, Kjelkenes R, Fernandez S, Van Der Meer D, Westlye LT, Andreassen OA, Aden R, Seefried B, Siehl S, Nees F, Neidhart M, Stringaris A, Schwarz E, Holz N, Tost H, Meyer-Lindenberg A, Christmann N, Jansone K, Banaschewski T, Banks J, Schepanski K, Schütz T, Taron UH, Eils R, Roy JC, Lett TA, Kebir H, Polemiti E, Hitchen E, Jentsch M, Serin E, Bernas A, Vaidya N, Twardziok S, Ralser M, Heinz A, Walter H. 2024. Multi-omics analyses of the environMENTAL project provide insights into mental health and disease. Nature Mental Health. 2(10), 1131–1133."},"publication_identifier":{"eissn":["2731-6076"]},"publisher":"Springer Nature","publication_status":"published","OA_type":"closed access","article_type":"comment","day":"01","author":[{"full_name":"Desrivières, Sylvane","first_name":"Sylvane","last_name":"Desrivières"},{"last_name":"Miller","first_name":"Abigail","full_name":"Miller, Abigail"},{"full_name":"Mathey, Carina M.","first_name":"Carina M.","last_name":"Mathey"},{"first_name":"Xinyang","last_name":"Yu","full_name":"Yu, Xinyang"},{"last_name":"Chen","first_name":"Di","full_name":"Chen, Di"},{"first_name":"Kofoworola","last_name":"Agunbiade","full_name":"Agunbiade, Kofoworola"},{"last_name":"Heilmann-Heimbach","first_name":"Stefanie","full_name":"Heilmann-Heimbach, Stefanie"},{"full_name":"Forstner, Andreas J.","first_name":"Andreas J.","last_name":"Forstner"},{"full_name":"Schumann, Gunter","first_name":"Gunter","last_name":"Schumann"},{"first_name":"Per","last_name":"Hoffmann","full_name":"Hoffmann, Per"},{"last_name":"Nöthen","first_name":"Markus M.","full_name":"Nöthen, Markus M."},{"full_name":"Ogoh, George","last_name":"Ogoh","first_name":"George"},{"full_name":"Stahl, Bernd","last_name":"Stahl","first_name":"Bernd"},{"last_name":"Young","first_name":"Allan H.","full_name":"Young, Allan H."},{"full_name":"Clinton, Nicholas","last_name":"Clinton","first_name":"Nicholas"},{"last_name":"Thompson","first_name":"Paul","full_name":"Thompson, Paul"},{"first_name":"Ameli","last_name":"Schwalber","full_name":"Schwalber, Ameli"},{"last_name":"Liu","first_name":"Jingyu","full_name":"Liu, Jingyu"},{"full_name":"Calhoun, Vince","last_name":"Calhoun","first_name":"Vince"},{"full_name":"Chang, Xiao","last_name":"Chang","first_name":"Xiao"},{"full_name":"Xia, Yunman","last_name":"Xia","first_name":"Yunman"},{"full_name":"Gong, Yanting","last_name":"Gong","first_name":"Yanting"},{"first_name":"Tianye","last_name":"Jia","full_name":"Jia, Tianye"},{"full_name":"Renner, Paul","last_name":"Renner","first_name":"Paul"},{"full_name":"Hese, Sören","last_name":"Hese","first_name":"Sören"},{"full_name":"Giner, Arantxa","last_name":"Giner","first_name":"Arantxa"},{"first_name":"Mavi","last_name":"Sanchez","full_name":"Sanchez, Mavi"},{"last_name":"Alvarez","first_name":"Elena","full_name":"Alvarez, Elena"},{"full_name":"Spanlang, Bernhard","last_name":"Spanlang","first_name":"Bernhard"},{"first_name":"Charlie","last_name":"Pearmund","full_name":"Pearmund, Charlie"},{"full_name":"Athanasiadis, Anastasios Polykarpos","first_name":"Anastasios Polykarpos","last_name":"Athanasiadis"},{"last_name":"Otten","first_name":"Lisa","full_name":"Otten, Lisa"},{"last_name":"Pitel","first_name":"Séverine","full_name":"Pitel, Séverine"},{"first_name":"Spase","last_name":"Petkoski","full_name":"Petkoski, Spase"},{"full_name":"Jirsa, Viktor","first_name":"Viktor","last_name":"Jirsa"},{"full_name":"Schmitt, Karen","last_name":"Schmitt","first_name":"Karen"},{"first_name":"Johannes","last_name":"Wilbertz","full_name":"Wilbertz, Johannes"},{"full_name":"Patraskaki, Myrto","last_name":"Patraskaki","first_name":"Myrto"},{"full_name":"Sommer, Peter","first_name":"Peter","last_name":"Sommer"},{"full_name":"Claus, Isabelle","first_name":"Isabelle","last_name":"Claus"},{"last_name":"Pastor","first_name":"Alvaro","full_name":"Pastor, Alvaro"},{"full_name":"Gallego, Jaime","first_name":"Jaime","last_name":"Gallego"},{"last_name":"Orosa","first_name":"Francisco Eiroa","full_name":"Orosa, Francisco Eiroa"},{"first_name":"Guillem Feixas","last_name":"Viapiana","full_name":"Viapiana, Guillem Feixas"},{"full_name":"Slater, Mel","last_name":"Slater","first_name":"Mel"},{"full_name":"Marr, Lena","id":"4406F586-F248-11E8-B48F-1D18A9856A87","last_name":"Marr","first_name":"Lena"},{"id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","full_name":"Novarino, Gaia","last_name":"Novarino","first_name":"Gaia"},{"last_name":"Marquand","first_name":"Andre","full_name":"Marquand, Andre"},{"full_name":"Böttger, Sarah Jane","first_name":"Sarah Jane","last_name":"Böttger"},{"last_name":"Tschorn","first_name":"Mira","full_name":"Tschorn, Mira"},{"full_name":"Rapp, Michael","last_name":"Rapp","first_name":"Michael"},{"full_name":"Ask, Helga","first_name":"Helga","last_name":"Ask"},{"full_name":"Kjelkenes, Rikka","last_name":"Kjelkenes","first_name":"Rikka"},{"last_name":"Fernandez","first_name":"Sara","full_name":"Fernandez, Sara"},{"full_name":"Van Der Meer, Dennis","last_name":"Van Der Meer","first_name":"Dennis"},{"last_name":"Westlye","first_name":"Lars T.","full_name":"Westlye, Lars T."},{"full_name":"Andreassen, Ole A.","last_name":"Andreassen","first_name":"Ole A."},{"full_name":"Aden, Rieke","last_name":"Aden","first_name":"Rieke"},{"first_name":"Beke","last_name":"Seefried","full_name":"Seefried, Beke"},{"full_name":"Siehl, Sebastian","last_name":"Siehl","first_name":"Sebastian"},{"last_name":"Nees","first_name":"Frauke","full_name":"Nees, Frauke"},{"last_name":"Neidhart","first_name":"Maja","full_name":"Neidhart, Maja"},{"last_name":"Stringaris","first_name":"Argyris","full_name":"Stringaris, Argyris"},{"full_name":"Schwarz, Emanuel","last_name":"Schwarz","first_name":"Emanuel"},{"first_name":"Nathalie","last_name":"Holz","full_name":"Holz, Nathalie"},{"last_name":"Tost","first_name":"Heike","full_name":"Tost, Heike"},{"last_name":"Meyer-Lindenberg","first_name":"Andreas","full_name":"Meyer-Lindenberg, Andreas"},{"last_name":"Christmann","first_name":"Nina","full_name":"Christmann, Nina"},{"full_name":"Jansone, Karina","last_name":"Jansone","first_name":"Karina"},{"full_name":"Banaschewski, Tobias","last_name":"Banaschewski","first_name":"Tobias"},{"full_name":"Banks, Jamie","last_name":"Banks","first_name":"Jamie"},{"first_name":"Kerstin","last_name":"Schepanski","full_name":"Schepanski, Kerstin"},{"full_name":"Schütz, Tatjana","last_name":"Schütz","first_name":"Tatjana"},{"full_name":"Taron, Ulrike Helene","last_name":"Taron","first_name":"Ulrike Helene"},{"first_name":"Roland","last_name":"Eils","full_name":"Eils, Roland"},{"full_name":"Roy, Jean Charles","last_name":"Roy","first_name":"Jean Charles"},{"first_name":"Tristram A.","last_name":"Lett","full_name":"Lett, Tristram A."},{"last_name":"Kebir","first_name":"Hedi","full_name":"Kebir, Hedi"},{"last_name":"Polemiti","first_name":"Elli","full_name":"Polemiti, Elli"},{"last_name":"Hitchen","first_name":"Esther","full_name":"Hitchen, Esther"},{"full_name":"Jentsch, Marcel","first_name":"Marcel","last_name":"Jentsch"},{"full_name":"Serin, Emin","last_name":"Serin","first_name":"Emin"},{"first_name":"Antoine","last_name":"Bernas","full_name":"Bernas, Antoine"},{"first_name":"Nilakshi","last_name":"Vaidya","full_name":"Vaidya, Nilakshi"},{"last_name":"Twardziok","first_name":"Sven","full_name":"Twardziok, Sven"},{"last_name":"Ralser","first_name":"Markus","full_name":"Ralser, Markus"},{"last_name":"Heinz","first_name":"Andreas","full_name":"Heinz, Andreas"},{"full_name":"Walter, Henrik","first_name":"Henrik","last_name":"Walter"}],"page":"1131-1133","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"journal_article","fulldoi":"https://doi.org/10.1038/s44220-024-00317-y","date_updated":"2025-08-11T06:44:03Z","issue":"10","month":"10","title":"Multi-omics analyses of the environMENTAL project provide insights into mental health and disease","publication":"Nature Mental Health","date_created":"2025-08-10T22:01:30Z"},{"language":[{"iso":"eng"}],"article_processing_charge":"No","article_number":"1128-1130","department":[{"_id":"GaNo"}],"scopus_import":"1","publication_status":"published","publisher":"Springer Nature","publication_identifier":{"eissn":["2731-6076"]},"citation":{"mla":"Stahl, Bernd, et al. “Rethinking Ethics in Interdisciplinary and Big Data-Driven Neuroscience Projects.” Nature Mental Health, vol. 2, no. 10, 1128–1130, Springer Nature, 2024, doi:10.1038/s44220-024-00320-3.","chicago":"Stahl, Bernd, George Ogoh, Gunter Schumann, Henrik Walter, Bernd Stahl, Allan H. Young, Sylvane Desrivières, et al. “Rethinking Ethics in Interdisciplinary and Big Data-Driven Neuroscience Projects.” Nature Mental Health. Springer Nature, 2024. https://doi.org/10.1038/s44220-024-00320-3.","ieee":"B. Stahl et al., “Rethinking ethics in interdisciplinary and big data-driven neuroscience projects,” Nature Mental Health, vol. 2, no. 10. Springer Nature, 2024.","ama":"Stahl B, Ogoh G, Schumann G, et al. Rethinking ethics in interdisciplinary and big data-driven neuroscience projects. Nature Mental Health. 2024;2(10). doi:10.1038/s44220-024-00320-3","apa":"Stahl, B., Ogoh, G., Schumann, G., Walter, H., Stahl, B., Young, A. H., … Walter, H. (2024). Rethinking ethics in interdisciplinary and big data-driven neuroscience projects. Nature Mental Health. Springer Nature. https://doi.org/10.1038/s44220-024-00320-3","ista":"Stahl B, Ogoh G, Schumann G, Walter H, Stahl B, Young AH, Desrivières S, Clinton N, Thompson P, Schwalber A, Liu J, Calhoun V, Chang X, Xia Y, Gong Y, Jia T, Renner P, Hese S, Giner A, Sanchez M, Alvarez E, Spanlang B, Pearmund C, Athanasiadis AP, Otten L, Pitel S, Petkoski S, Jirsa V, Schmitt K, Wilbertz J, Patraskaki M, Sommer P, Heilmann-Heimbach S, Mathey CM, Miller A, Claus I, Nöthen MM, Hoffmann P, Forstner AJ, Pastor A, Gallego J, Orosa FE, Viapiana GF, Slater M, Marr L, Novarino G, Marquand A, Böttger SJ, Tschorn M, Rapp M, Ask H, Kjelkenes R, Fernandez S, Van Der Meer D, Westlye LT, Andreassen OA, Aden R, Seefried B, Siehl S, Nees F, Neidhart M, Stringaris A, Schwarz E, Holz N, Tost H, Meyer-Lindenberg A, Christmann N, Jansone K, Banaschewski T, Banks J, Schepanski K, Schütz T, Taron UH, Eils R, Roy JC, Lett TA, Kebir H, Polemiti E, Hitchen E, Jentsch M, Serin E, Bernas A, Vaidya N, Twardziok S, Ralser M, Heinz A, Walter H. 2024. Rethinking ethics in interdisciplinary and big data-driven neuroscience projects. Nature Mental Health. 2(10), 1128–1130.","short":"B. Stahl, G. Ogoh, G. Schumann, H. Walter, B. Stahl, A.H. Young, S. Desrivières, N. Clinton, P. Thompson, A. Schwalber, J. Liu, V. Calhoun, X. Chang, Y. Xia, Y. Gong, T. Jia, P. Renner, S. Hese, A. Giner, M. Sanchez, E. Alvarez, B. Spanlang, C. Pearmund, A.P. Athanasiadis, L. Otten, S. Pitel, S. Petkoski, V. Jirsa, K. Schmitt, J. Wilbertz, M. Patraskaki, P. Sommer, S. Heilmann-Heimbach, C.M. Mathey, A. Miller, I. Claus, M.M. Nöthen, P. Hoffmann, A.J. Forstner, A. Pastor, J. Gallego, F.E. Orosa, G.F. Viapiana, M. Slater, L. Marr, G. Novarino, A. Marquand, S.J. Böttger, M. Tschorn, M. Rapp, H. Ask, R. Kjelkenes, S. Fernandez, D. Van Der Meer, L.T. Westlye, O.A. Andreassen, R. Aden, B. Seefried, S. Siehl, F. Nees, M. Neidhart, A. Stringaris, E. Schwarz, N. Holz, H. Tost, A. Meyer-Lindenberg, N. Christmann, K. Jansone, T. Banaschewski, J. Banks, K. Schepanski, T. Schütz, U.H. Taron, R. Eils, J.C. Roy, T.A. Lett, H. Kebir, E. Polemiti, E. Hitchen, M. Jentsch, E. Serin, A. Bernas, N. Vaidya, S. Twardziok, M. Ralser, A. Heinz, H. Walter, Nature Mental Health 2 (2024)."},"intvolume":" 2","oa_version":"None","abstract":[{"lang":"eng","text":"The focus of much of contemporary research ethics is on compliance with established protocols. However, large data-driven neuroscience research raises new ethical concerns that have no agreed-upon solution. Here we reflect on these challenges and propose better integration of public and patient involvement in this evolving landscape."}],"volume":2,"quality_controlled":"1","doi":"10.1038/s44220-024-00320-3","acknowledgement":"Funded provided by the European Union. Complementary funding was received by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee (10131373and 10038599) and Ministry of Science and Technology of China (MOST) National Key Project of ‘Inter-governmental International Scientific and Technological Innovation Cooperation’ (2023YFE0199700).","_id":"20157","date_published":"2024-10-01T00:00:00Z","status":"public","year":"2024","type":"journal_article","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","day":"01","author":[{"first_name":"Bernd","last_name":"Stahl","full_name":"Stahl, Bernd"},{"last_name":"Ogoh","first_name":"George","full_name":"Ogoh, George"},{"last_name":"Schumann","first_name":"Gunter","full_name":"Schumann, Gunter"},{"last_name":"Walter","first_name":"Henrik","full_name":"Walter, Henrik"},{"full_name":"Stahl, Bernd","last_name":"Stahl","first_name":"Bernd"},{"last_name":"Young","first_name":"Allan H.","full_name":"Young, Allan H."},{"last_name":"Desrivières","first_name":"Sylvane","full_name":"Desrivières, Sylvane"},{"full_name":"Clinton, Nicholas","first_name":"Nicholas","last_name":"Clinton"},{"first_name":"Paul","last_name":"Thompson","full_name":"Thompson, Paul"},{"full_name":"Schwalber, Ameli","first_name":"Ameli","last_name":"Schwalber"},{"last_name":"Liu","first_name":"Jingyu","full_name":"Liu, Jingyu"},{"last_name":"Calhoun","first_name":"Vince","full_name":"Calhoun, Vince"},{"first_name":"Xiao","last_name":"Chang","full_name":"Chang, Xiao"},{"full_name":"Xia, Yunman","first_name":"Yunman","last_name":"Xia"},{"first_name":"Yanting","last_name":"Gong","full_name":"Gong, Yanting"},{"full_name":"Jia, Tianye","last_name":"Jia","first_name":"Tianye"},{"full_name":"Renner, Paul","first_name":"Paul","last_name":"Renner"},{"full_name":"Hese, Sören","last_name":"Hese","first_name":"Sören"},{"last_name":"Giner","first_name":"Arantxa","full_name":"Giner, Arantxa"},{"full_name":"Sanchez, Mavi","first_name":"Mavi","last_name":"Sanchez"},{"first_name":"Elena","last_name":"Alvarez","full_name":"Alvarez, Elena"},{"first_name":"Bernhard","last_name":"Spanlang","full_name":"Spanlang, Bernhard"},{"full_name":"Pearmund, Charlie","first_name":"Charlie","last_name":"Pearmund"},{"last_name":"Athanasiadis","first_name":"Anastasios Polykarpos","full_name":"Athanasiadis, Anastasios Polykarpos"},{"full_name":"Otten, Lisa","last_name":"Otten","first_name":"Lisa"},{"full_name":"Pitel, Séverine","last_name":"Pitel","first_name":"Séverine"},{"full_name":"Petkoski, Spase","last_name":"Petkoski","first_name":"Spase"},{"full_name":"Jirsa, Viktor","last_name":"Jirsa","first_name":"Viktor"},{"full_name":"Schmitt, Karen","last_name":"Schmitt","first_name":"Karen"},{"full_name":"Wilbertz, Johannes","first_name":"Johannes","last_name":"Wilbertz"},{"first_name":"Myrto","last_name":"Patraskaki","full_name":"Patraskaki, Myrto"},{"last_name":"Sommer","first_name":"Peter","full_name":"Sommer, Peter"},{"full_name":"Heilmann-Heimbach, Stefanie","first_name":"Stefanie","last_name":"Heilmann-Heimbach"},{"full_name":"Mathey, Carina M.","first_name":"Carina M.","last_name":"Mathey"},{"last_name":"Miller","first_name":"Abigail","full_name":"Miller, Abigail"},{"first_name":"Isabelle","last_name":"Claus","full_name":"Claus, Isabelle"},{"full_name":"Nöthen, Markus M.","first_name":"Markus M.","last_name":"Nöthen"},{"first_name":"Per","last_name":"Hoffmann","full_name":"Hoffmann, Per"},{"last_name":"Forstner","first_name":"Andreas J.","full_name":"Forstner, Andreas J."},{"first_name":"Alvaro","last_name":"Pastor","full_name":"Pastor, Alvaro"},{"full_name":"Gallego, Jaime","first_name":"Jaime","last_name":"Gallego"},{"full_name":"Orosa, Francisco Eiroa","last_name":"Orosa","first_name":"Francisco Eiroa"},{"last_name":"Viapiana","first_name":"Guillem Feixas","full_name":"Viapiana, Guillem Feixas"},{"last_name":"Slater","first_name":"Mel","full_name":"Slater, Mel"},{"full_name":"Marr, Lena","id":"4406F586-F248-11E8-B48F-1D18A9856A87","first_name":"Lena","last_name":"Marr"},{"first_name":"Gaia","last_name":"Novarino","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","full_name":"Novarino, Gaia","orcid":"0000-0002-7673-7178"},{"full_name":"Marquand, Andre","first_name":"Andre","last_name":"Marquand"},{"last_name":"Böttger","first_name":"Sarah Jane","full_name":"Böttger, Sarah Jane"},{"full_name":"Tschorn, Mira","first_name":"Mira","last_name":"Tschorn"},{"last_name":"Rapp","first_name":"Michael","full_name":"Rapp, Michael"},{"last_name":"Ask","first_name":"Helga","full_name":"Ask, Helga"},{"last_name":"Kjelkenes","first_name":"Rikka","full_name":"Kjelkenes, Rikka"},{"full_name":"Fernandez, Sara","first_name":"Sara","last_name":"Fernandez"},{"last_name":"Van Der Meer","first_name":"Dennis","full_name":"Van Der Meer, Dennis"},{"last_name":"Westlye","first_name":"Lars T.","full_name":"Westlye, Lars T."},{"last_name":"Andreassen","first_name":"Ole A.","full_name":"Andreassen, Ole A."},{"first_name":"Rieke","last_name":"Aden","full_name":"Aden, Rieke"},{"last_name":"Seefried","first_name":"Beke","full_name":"Seefried, Beke"},{"full_name":"Siehl, Sebastian","first_name":"Sebastian","last_name":"Siehl"},{"last_name":"Nees","first_name":"Frauke","full_name":"Nees, Frauke"},{"full_name":"Neidhart, Maja","first_name":"Maja","last_name":"Neidhart"},{"full_name":"Stringaris, Argyris","last_name":"Stringaris","first_name":"Argyris"},{"full_name":"Schwarz, Emanuel","first_name":"Emanuel","last_name":"Schwarz"},{"full_name":"Holz, Nathalie","first_name":"Nathalie","last_name":"Holz"},{"full_name":"Tost, Heike","last_name":"Tost","first_name":"Heike"},{"full_name":"Meyer-Lindenberg, Andreas","last_name":"Meyer-Lindenberg","first_name":"Andreas"},{"first_name":"Nina","last_name":"Christmann","full_name":"Christmann, Nina"},{"full_name":"Jansone, Karina","last_name":"Jansone","first_name":"Karina"},{"last_name":"Banaschewski","first_name":"Tobias","full_name":"Banaschewski, Tobias"},{"last_name":"Banks","first_name":"Jamie","full_name":"Banks, Jamie"},{"full_name":"Schepanski, Kerstin","first_name":"Kerstin","last_name":"Schepanski"},{"full_name":"Schütz, Tatjana","last_name":"Schütz","first_name":"Tatjana"},{"full_name":"Taron, Ulrike Helene","last_name":"Taron","first_name":"Ulrike Helene"},{"first_name":"Roland","last_name":"Eils","full_name":"Eils, Roland"},{"full_name":"Roy, Jean Charles","last_name":"Roy","first_name":"Jean Charles"},{"first_name":"Tristram A.","last_name":"Lett","full_name":"Lett, Tristram A."},{"first_name":"Hedi","last_name":"Kebir","full_name":"Kebir, Hedi"},{"first_name":"Elli","last_name":"Polemiti","full_name":"Polemiti, Elli"},{"full_name":"Hitchen, Esther","first_name":"Esther","last_name":"Hitchen"},{"full_name":"Jentsch, Marcel","first_name":"Marcel","last_name":"Jentsch"},{"full_name":"Serin, Emin","first_name":"Emin","last_name":"Serin"},{"full_name":"Bernas, Antoine","first_name":"Antoine","last_name":"Bernas"},{"full_name":"Vaidya, Nilakshi","first_name":"Nilakshi","last_name":"Vaidya"},{"last_name":"Twardziok","first_name":"Sven","full_name":"Twardziok, Sven"},{"full_name":"Ralser, Markus","first_name":"Markus","last_name":"Ralser"},{"first_name":"Andreas","last_name":"Heinz","full_name":"Heinz, Andreas"},{"first_name":"Henrik","last_name":"Walter","full_name":"Walter, Henrik"}],"article_type":"comment","OA_type":"closed access","date_created":"2025-08-10T22:01:30Z","publication":"Nature Mental Health","title":"Rethinking ethics in interdisciplinary and big data-driven neuroscience projects","month":"10","issue":"10","date_updated":"2025-08-11T06:53:55Z","fulldoi":"https://doi.org/10.1038/s44220-024-00320-3"},{"OA_type":"hybrid","external_id":{"pmid":["38021107"],"isi":["001105681500001"],"arxiv":["2102.13046"]},"file":[{"access_level":"open_access","relation":"main_file","success":1,"creator":"dernst","date_updated":"2024-07-16T10:14:13Z","file_name":"2024_GeometriaeDedicata_Dymond.pdf","file_size":540981,"date_created":"2024-07-16T10:14:13Z","content_type":"application/pdf","checksum":"9418534ac2f3d6f1f091a8b8ccaed01e","file_id":"17257"}],"article_type":"original","arxiv":1,"day":"01","author":[{"last_name":"Dymond","first_name":"Michael","full_name":"Dymond, Michael"},{"orcid":"0000-0002-2512-8698","full_name":"Kaluza, Vojtech","id":"21AE5134-9EAC-11EA-BEA2-D7BD3DDC885E","last_name":"Kaluza","first_name":"Vojtech"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"journal_article","file_date_updated":"2024-07-16T10:14:13Z","fulldoi":"https://doi.org/10.1007/s10711-023-00862-3","date_updated":"2025-04-23T07:37:26Z","month":"02","has_accepted_license":"1","title":"Divergence of separated nets with respect to displacement equivalence","OA_place":"publisher","date_created":"2021-07-14T07:01:27Z","publication":"Geometriae Dedicata","scopus_import":"1","department":[{"_id":"UlWa"}],"oa":1,"article_number":"15","article_processing_charge":"Yes (via OA deal)","pmid":1,"language":[{"iso":"eng"}],"ddc":["510"],"isi":1,"year":"2024","status":"public","date_published":"2024-02-01T00:00:00Z","_id":"9651","acknowledgement":"Open access funding provided by Institute of Science and Technology (IST Austria). This work was started while both authors were employed at the University of Innsbruck and enjoyed the full support of Austrian Science Fund (FWF): P 30902-N35. It was continued when the first named author was employed at University of Leipzig and the second named author was employed at Institute of Science and Technology of Austria, where he was supported by an IST Fellowship.","doi":"10.1007/s10711-023-00862-3","quality_controlled":"1","volume":218,"corr_author":"1","abstract":[{"lang":"eng","text":"We introduce a hierachy of equivalence relations on the set of separated nets of a given Euclidean space, indexed by concave increasing functions ϕ:(0,∞)→(0,∞). Two separated nets are called ϕ-displacement equivalent if, roughly speaking, there is a bijection between them which, for large radii R, displaces points of norm at most R by something of order at most ϕ(R). We show that the spectrum of ϕ-displacement equivalence spans from the established notion of bounded displacement equivalence, which corresponds to bounded ϕ, to the indiscrete equivalence relation, coresponding to ϕ(R)∈Ω(R), in which all separated nets are equivalent. In between the two ends of this spectrum, the notions of ϕ-displacement equivalence are shown to be pairwise distinct with respect to the asymptotic classes of ϕ(R) for R→∞. We further undertake a comparison of our notion of ϕ-displacement equivalence with previously studied relations on separated nets. Particular attention is given to the interaction of the notions of ϕ-displacement equivalence with that of bilipschitz equivalence."}],"oa_version":"Published Version","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"intvolume":" 218","citation":{"ama":"Dymond M, Kaluza V. Divergence of separated nets with respect to displacement equivalence. Geometriae Dedicata. 2024;218. doi:10.1007/s10711-023-00862-3","apa":"Dymond, M., & Kaluza, V. (2024). Divergence of separated nets with respect to displacement equivalence. Geometriae Dedicata. Springer Nature. https://doi.org/10.1007/s10711-023-00862-3","ieee":"M. Dymond and V. Kaluza, “Divergence of separated nets with respect to displacement equivalence,” Geometriae Dedicata, vol. 218. Springer Nature, 2024.","mla":"Dymond, Michael, and Vojtech Kaluza. “Divergence of Separated Nets with Respect to Displacement Equivalence.” Geometriae Dedicata, vol. 218, 15, Springer Nature, 2024, doi:10.1007/s10711-023-00862-3.","chicago":"Dymond, Michael, and Vojtech Kaluza. “Divergence of Separated Nets with Respect to Displacement Equivalence.” Geometriae Dedicata. Springer Nature, 2024. https://doi.org/10.1007/s10711-023-00862-3.","short":"M. Dymond, V. Kaluza, Geometriae Dedicata 218 (2024).","ista":"Dymond M, Kaluza V. 2024. Divergence of separated nets with respect to displacement equivalence. Geometriae Dedicata. 218, 15."},"publication_identifier":{"eissn":["1572-9168"],"issn":["0046-5755"]},"publication_status":"published","publisher":"Springer Nature"},{"citation":{"ista":"Sagi O, Crippa A, Valentini M, Janik M, Baghumyan L, Fabris G, Kapoor L, Hassani F, Fink JM, Calcaterra S, Chrastina D, Isella G, Katsaros G. 2024. A gate tunable transmon qubit in planar Ge. Nature Communications. 15, 6400.","short":"O. Sagi, A. Crippa, M. Valentini, M. Janik, L. Baghumyan, G. Fabris, L. Kapoor, F. Hassani, J.M. Fink, S. Calcaterra, D. Chrastina, G. Isella, G. Katsaros, Nature Communications 15 (2024).","ieee":"O. Sagi et al., “A gate tunable transmon qubit in planar Ge,” Nature Communications, vol. 15. Springer Nature, 2024.","chicago":"Sagi, Oliver, Alessandro Crippa, Marco Valentini, Marian Janik, Levon Baghumyan, Giorgio Fabris, Lucky Kapoor, et al. “A Gate Tunable Transmon Qubit in Planar Ge.” Nature Communications. Springer Nature, 2024. https://doi.org/10.1038/s41467-024-50763-6.","mla":"Sagi, Oliver, et al. “A Gate Tunable Transmon Qubit in Planar Ge.” Nature Communications, vol. 15, 6400, Springer Nature, 2024, doi:10.1038/s41467-024-50763-6.","ama":"Sagi O, Crippa A, Valentini M, et al. A gate tunable transmon qubit in planar Ge. Nature Communications. 2024;15. doi:10.1038/s41467-024-50763-6","apa":"Sagi, O., Crippa, A., Valentini, M., Janik, M., Baghumyan, L., Fabris, G., … Katsaros, G. (2024). A gate tunable transmon qubit in planar Ge. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-024-50763-6"},"intvolume":" 15","publication_status":"published","DOAJ_listed":"1","publisher":"Springer Nature","publication_identifier":{"eissn":["2041-1723"]},"corr_author":"1","abstract":[{"text":"Gate-tunable transmons (gatemons) employing semiconductor Josephson junctions have recently emerged as building blocks for hybrid quantum circuits. In this study, we present a gatemon fabricated in planar Germanium. We induce superconductivity in a two-dimensional hole gas by evaporating aluminum atop a thin spacer, which separates the superconductor from the Ge quantum well. The Josephson junction is then integrated into an Xmon circuit and capacitively coupled to a transmission line resonator. We showcase the qubit tunability in a broad frequency range with resonator and two-tone spectroscopy. Time-domain characterizations reveal energy relaxation and coherence times up to 75 ns. Our results, combined with the recent advances in the spin qubit field, pave the way towards novel hybrid and protected qubits in a group IV, CMOS-compatible material.","lang":"eng"}],"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa_version":"Published Version","doi":"10.1038/s41467-024-50763-6","acknowledgement":"We acknowledge Lucas Casparis, Jeroen Danon, Valla Fatemi, Morten Kjaergard and Javad Shabani for their valuable insights and comments. This research was supported by the Scientific Service Units of ISTA through resources provided by the MIBA Machine Shop\r\nand the Nanofabrication facility. This research and related results were made possible with the support of the NOMIS Foundation and the FWF Projects with DOI:10.55776/I5060 and DOI:10.55776/P36507. We also acknowledge the NextGenerationEU PRIN project\r\n2022A8CJP3 (GAMESQUAD) for partial financial support.","APC_amount":"6828 EUR","volume":15,"quality_controlled":"1","status":"public","year":"2024","_id":"17202","date_published":"2024-07-30T00:00:00Z","isi":1,"ddc":["530"],"pmid":1,"language":[{"iso":"eng"}],"article_number":"6400","oa":1,"acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"M-Shop"},{"_id":"NanoFab"}],"scopus_import":"1","department":[{"_id":"GeKa"},{"_id":"JoFi"},{"_id":"GradSch"}],"project":[{"name":"Merging spin and superconducting qubits in planar Ge","grant_number":"P36507","_id":"bd8bd29e-d553-11ed-ba76-f0070d4b237a"},{"_id":"c0977eea-5a5b-11eb-8a69-a862db0cf4d1","grant_number":"I05060","name":"High impedance circuit quantum electrodynamics with hole spins"},{"_id":"262116AA-B435-11E9-9278-68D0E5697425","name":"Hybrid Semiconductor - Superconductor Quantum Devices"},{"call_identifier":"FWF","name":"FWF Open Access Fund","_id":"3AC91DDA-15DF-11EA-824D-93A3E7B544D1"}],"article_processing_charge":"Yes","OA_place":"publisher","publication":"Nature Communications","date_created":"2024-07-04T11:40:45Z","title":"A gate tunable transmon qubit in planar Ge","has_accepted_license":"1","month":"07","file_date_updated":"2024-08-05T08:38:01Z","fulldoi":"https://doi.org/10.1038/s41467-024-50763-6","date_updated":"2026-04-07T13:01:55Z","related_material":{"link":[{"url":"https://doi.org/10.1038/s41467-024-53910-1","relation":"erratum"}],"record":[{"relation":"research_data","status":"public","id":"17196"},{"relation":"dissertation_contains","status":"public","id":"18076"}]},"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","arxiv":1,"author":[{"first_name":"Oliver","last_name":"Sagi","full_name":"Sagi, Oliver","id":"71616374-A8E9-11E9-A7CA-09ECE5697425"},{"orcid":"0000-0002-2968-611X","full_name":"Crippa, Alessandro","id":"1F2B21A2-F6E7-11E9-9B82-F7DBE5697425","first_name":"Alessandro","last_name":"Crippa"},{"id":"C0BB2FAC-D767-11E9-B658-BC13E6697425","full_name":"Valentini, Marco","last_name":"Valentini","first_name":"Marco"},{"first_name":"Marian","last_name":"Janik","id":"396A1950-F248-11E8-B48F-1D18A9856A87","full_name":"Janik, Marian","orcid":"0009-0003-9037-8831"},{"id":"7aa1f788-b527-11ee-aa9e-e6111a79e0c7","full_name":"Baghumyan, Levon","last_name":"Baghumyan","first_name":"Levon"},{"id":"298cf6f3-1ff6-11ee-9fa6-d94cfa0b3352","full_name":"Fabris, Giorgio","first_name":"Giorgio","last_name":"Fabris"},{"orcid":"0000-0001-8319-2148","full_name":"Kapoor, Lucky","id":"84b9700b-15b2-11ec-abd3-831089e67615","first_name":"Lucky","last_name":"Kapoor"},{"full_name":"Hassani, Farid","orcid":"0000-0001-6937-5773","id":"2AED110C-F248-11E8-B48F-1D18A9856A87","last_name":"Hassani","first_name":"Farid"},{"orcid":"0000-0001-8112-028X","full_name":"Fink, Johannes M","id":"4B591CBA-F248-11E8-B48F-1D18A9856A87","last_name":"Fink","first_name":"Johannes M"},{"last_name":"Calcaterra","first_name":"Stefano","full_name":"Calcaterra, Stefano"},{"full_name":"Chrastina, Daniel","last_name":"Chrastina","first_name":"Daniel"},{"first_name":"Giovanni","last_name":"Isella","full_name":"Isella, Giovanni"},{"first_name":"Georgios","last_name":"Katsaros","full_name":"Katsaros, Georgios","orcid":"0000-0001-8342-202X","id":"38DB5788-F248-11E8-B48F-1D18A9856A87"}],"day":"30","article_type":"original","file":[{"file_id":"17388","content_type":"application/pdf","checksum":"ddf5361dcb6c543e2cea818501c09910","date_created":"2024-08-05T08:38:01Z","file_name":"2024_NatureComm_Sagi.pdf","date_updated":"2024-08-05T08:38:01Z","file_size":1928001,"access_level":"open_access","relation":"main_file","success":1,"creator":"dernst"}],"OA_type":"gold","external_id":{"pmid":["39080279"],"isi":["001281271000022"],"arxiv":["2403.16774"]}},{"doi":"10.1145/3658194","acknowledgement":"We thank Gianmarco Cherchi for his help in tailoring the Mesh Booleans code for this project, Stefan Jeschke for his help with the photographs, Malina Strugaru and Aleksei Kalinov for their help with the samples, and the anonymous reviewers as well as the members of the ISTA Visual Computing Group for their feedback. This project was funded in part by the European Research Council (ERC Consolidator Grant 101045083 CoDiNA).","quality_controlled":"1","volume":43,"status":"public","year":"2024","_id":"17203","date_published":"2024-07-01T00:00:00Z","citation":{"mla":"Hafner, Christian, et al. “Spin-It Faster: Quadrics Solve All Topology Optimization Problems That Depend Only on Mass Moments.” Transactions on Graphics, vol. 43, no. 4, 78, Association for Computing Machinery, 2024, doi:10.1145/3658194.","chicago":"Hafner, Christian, Mickaël Ly, and Chris Wojtan. “Spin-It Faster: Quadrics Solve All Topology Optimization Problems That Depend Only on Mass Moments.” Transactions on Graphics. Association for Computing Machinery, 2024. https://doi.org/10.1145/3658194.","ieee":"C. Hafner, M. Ly, and C. Wojtan, “Spin-it faster: Quadrics solve all topology optimization problems that depend only on mass moments,” Transactions on Graphics, vol. 43, no. 4. Association for Computing Machinery, 2024.","ama":"Hafner C, Ly M, Wojtan C. Spin-it faster: Quadrics solve all topology optimization problems that depend only on mass moments. Transactions on Graphics. 2024;43(4). doi:10.1145/3658194","apa":"Hafner, C., Ly, M., & Wojtan, C. (2024). Spin-it faster: Quadrics solve all topology optimization problems that depend only on mass moments. Transactions on Graphics. Denver, Colorado: Association for Computing Machinery. https://doi.org/10.1145/3658194","ista":"Hafner C, Ly M, Wojtan C. 2024. Spin-it faster: Quadrics solve all topology optimization problems that depend only on mass moments. Transactions on Graphics. 43(4), 78.","short":"C. Hafner, M. Ly, C. Wojtan, Transactions on Graphics 43 (2024)."},"conference":{"location":"Denver, Colorado","end_date":"2024-08-01","start_date":"2024-07-28"},"intvolume":" 43","publication_status":"published","publisher":"Association for Computing Machinery","publication_identifier":{"eissn":["1557-7368"],"issn":["0730-0301"]},"abstract":[{"text":"The behavior of a rigid body primarily depends on its mass moments, which consist of the mass, center of mass, and moments of inertia. It is possible to manipulate these quantities without altering the geometric appearance of an object by introducing cavities in its interior. Algorithms that find cavities of suitable shapes and sizes have enabled the computational design of spinning tops, yo-yos, wheels, buoys, and statically balanced objects. Previous work is based, for example, on topology optimization on voxel grids, which introduces a large number of optimization variables and box constraints, or offset surface computation, which cannot guarantee that solutions to a feasible problem will always be found.\r\n\r\nIn this work, we provide a mathematical analysis of constrained topology optimization problems that depend only on mass moments. This class of problems covers, among others, all applications mentioned above. Our main result is to show that no matter the outer shape of the rigid body to be optimized or the optimization objective and constraints considered, the optimal solution always features a quadric-shaped interface between material and cavities. This proves that optimal interfaces are always ellipsoids, hyperboloids, paraboloids, or one of a few degenerate cases, such as planes.\r\n\r\nThis insight lets us replace a difficult topology optimization problem with a provably equivalent non-linear equation system in a small number (<10) of variables, which represent the coefficients of the quadric. This system can be solved in a few seconds for most examples, provides insights into the geometric structure of many specific applications, and lets us describe their solution properties. Finally, our method integrates seamlessly into modern fabrication workflows because our solutions are analytical surfaces that are native to the CAD domain.","lang":"eng"}],"corr_author":"1","oa_version":"Published Version","language":[{"iso":"eng"}],"oa":1,"article_number":"78","scopus_import":"1","department":[{"_id":"ChWo"}],"article_processing_charge":"Yes (via OA deal)","project":[{"_id":"34bc2376-11ca-11ed-8bc3-9a3b3961a088","name":"Computational Discovery of Numerical Algorithms for Animation and Simulation of Natural Phenomena","grant_number":"101045083"}],"isi":1,"ddc":["516"],"month":"07","issue":"4","file_date_updated":"2024-07-17T09:29:13Z","fulldoi":"https://doi.org/10.1145/3658194","date_updated":"2025-09-08T08:29:09Z","publication":"Transactions on Graphics","date_created":"2024-07-05T12:08:57Z","title":"Spin-it faster: Quadrics solve all topology optimization problems that depend only on mass moments","has_accepted_license":"1","file":[{"file_size":7225150,"file_name":"sif-final.pdf","date_updated":"2024-07-05T12:05:17Z","access_level":"open_access","relation":"main_file","creator":"chafner","success":1,"content_type":"application/pdf","checksum":"0dc9f5a6422b8a49a79026900f349ee5","file_id":"17204","date_created":"2024-07-05T12:05:17Z"},{"date_created":"2024-07-05T12:06:03Z","file_id":"17205","checksum":"cde433c6a40688d5f1187fb5721f6f94","content_type":"application/pdf","relation":"supplementary_material","access_level":"open_access","creator":"chafner","date_updated":"2024-07-05T12:06:03Z","file_name":"sif-supp-final.pdf","file_size":397262},{"date_created":"2024-07-17T09:29:13Z","title":"Submission Video","file_id":"17276","checksum":"c0457a09c2ab9a1c2935c995dcc84907","content_type":"video/mp4","creator":"chafner","access_level":"open_access","relation":"supplementary_material","date_updated":"2024-07-17T09:29:13Z","file_size":170001305,"file_name":"sif-video-final.mp4"}],"article_type":"original","keyword":["Topology Optimization","Mass Moments","Computational Geometry"],"external_id":{"isi":["001289270900045"]},"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","type":"journal_article","author":[{"full_name":"Hafner, Christian","id":"400429CC-F248-11E8-B48F-1D18A9856A87","last_name":"Hafner","first_name":"Christian"},{"first_name":"Mickaël","last_name":"Ly","full_name":"Ly, Mickaël","id":"6340d7f0-b48d-11eb-b10d-b7487e71d9f1"},{"last_name":"Wojtan","first_name":"Christopher J","id":"3C61F1D2-F248-11E8-B48F-1D18A9856A87","full_name":"Wojtan, Christopher J","orcid":"0000-0001-6646-5546"}],"day":"01"},{"ddc":["570"],"isi":1,"article_processing_charge":"No","project":[{"_id":"c08d3278-5a5b-11eb-8a69-fdb09b55f4b8","grant_number":"P32896","name":"Causes and consequences of population fragmentation"},{"name":"NOMIS Fellowship Program","_id":"9B861AAC-BA93-11EA-9121-9846C619BF3A"}],"oa":1,"department":[{"_id":"NiBa"}],"scopus_import":"1","language":[{"iso":"eng"}],"pmid":1,"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa_version":"Published Version","publication_status":"published","publisher":"Oxford University Press","publication_identifier":{"eissn":["1420-9101"]},"citation":{"ama":"Fouqueau L, Polechova J. Eco-evolutionary dynamics in changing environments: Integrating theory with data. Journal of evolutionary biology. 2024;37(6):579-587. doi:10.1093/jeb/voae067","apa":"Fouqueau, L., & Polechova, J. (2024). Eco-evolutionary dynamics in changing environments: Integrating theory with data. Journal of Evolutionary Biology. Oxford University Press. https://doi.org/10.1093/jeb/voae067","ieee":"L. Fouqueau and J. Polechova, “Eco-evolutionary dynamics in changing environments: Integrating theory with data,” Journal of evolutionary biology, vol. 37, no. 6. Oxford University Press, pp. 579–587, 2024.","mla":"Fouqueau, Louise, and Jitka Polechova. “Eco-Evolutionary Dynamics in Changing Environments: Integrating Theory with Data.” Journal of Evolutionary Biology, vol. 37, no. 6, Oxford University Press, 2024, pp. 579–87, doi:10.1093/jeb/voae067.","chicago":"Fouqueau, Louise, and Jitka Polechova. “Eco-Evolutionary Dynamics in Changing Environments: Integrating Theory with Data.” Journal of Evolutionary Biology. Oxford University Press, 2024. https://doi.org/10.1093/jeb/voae067.","ista":"Fouqueau L, Polechova J. 2024. Eco-evolutionary dynamics in changing environments: Integrating theory with data. Journal of evolutionary biology. 37(6), 579–587.","short":"L. Fouqueau, J. Polechova, Journal of Evolutionary Biology 37 (2024) 579–587."},"intvolume":" 37","_id":"17207","date_published":"2024-06-28T00:00:00Z","status":"public","year":"2024","quality_controlled":"1","volume":37,"doi":"10.1093/jeb/voae067","acknowledgement":"This research was funded by the Austrian Science Fund (FWF), project doi: 10.55776/P32896, Institutional Identifier: 501100002428, grant number: P32896 and L.F. acknowledges the support of the NOMIS-ISTA Fellowship Program.\r\nWe would like to thank Nick Barton, Roger Butlin, Stuart Baird, Patrik Nosil, and Jason Sexton for their insightful comments on the earlier drafts, and to John Carchrae for his valuable contribution in refining phrasing and enhancing clarity. For open access purposes, the author has applied a CC BY public copyright license to any author-accepted manuscript version arising from this submission.","page":"579-587","author":[{"first_name":"Louise","last_name":"Fouqueau","orcid":"0000-0003-0371-9339","full_name":"Fouqueau, Louise","id":"1676e173-8143-11ed-8927-fe165216a93f"},{"id":"3BBFB084-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-0951-3112","full_name":"Polechova, Jitka","last_name":"Polechova","first_name":"Jitka"}],"day":"28","type":"journal_article","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","external_id":{"isi":["001258359900001"],"pmid":["38941551"]},"article_type":"letter_note","title":"Eco-evolutionary dynamics in changing environments: Integrating theory with data","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1093/jeb/voae067"}],"publication":"Journal of evolutionary biology","date_created":"2024-07-07T22:01:04Z","fulldoi":"https://doi.org/10.1093/jeb/voae067","date_updated":"2026-06-18T17:53:35Z","month":"06","issue":"6"},{"file_date_updated":"2024-07-17T09:23:24Z","date_updated":"2026-04-07T12:43:22Z","fulldoi":"https://doi.org/10.15479/at:ista:17208","month":"07","has_accepted_license":"1","title":"Exploring the optimization landscape of variational quantum algorithms","OA_place":"publisher","date_created":"2024-07-09T09:14:24Z","supervisor":[{"orcid":"0000-0002-2399-5827","full_name":"Serbyn, Maksym","id":"47809E7E-F248-11E8-B48F-1D18A9856A87","first_name":"Maksym","last_name":"Serbyn"}],"keyword":["Quantum computing","Variational Quantum Algorithms","Optimization"],"file":[{"file_size":"14218691","date_updated":"2024-07-10T11:34:09Z","file_name":"Raimel_Thesis-Final.zip","relation":"source_file","access_level":"closed","creator":"rmedinar","checksum":"6f45273d04f4418bc2adc018baed0525","content_type":"application/zip","file_id":"17212","date_created":"2024-07-09T09:21:44Z"},{"file_id":"17275","checksum":"6724a95bec772dbabc0111b9f08a805e","content_type":"application/pdf","date_created":"2024-07-17T09:23:24Z","file_name":"Raimel_Thesis-20_pdfa.pdf","date_updated":"2024-07-17T09:23:24Z","file_size":11253627,"access_level":"open_access","relation":"main_file","creator":"rmedinar","success":1}],"author":[{"orcid":"0000-0002-5383-2869","full_name":"Medina Ramos, Raimel A","id":"CE680B90-D85A-11E9-B684-C920E6697425","first_name":"Raimel A","last_name":"Medina Ramos"}],"day":"09","page":"133","related_material":{"record":[{"id":"10545","status":"public","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","id":"10067","status":"public"},{"id":"17222","status":"public","relation":"part_of_dissertation"},{"relation":"part_of_dissertation","status":"public","id":"13125"},{"relation":"part_of_dissertation","id":"11471","status":"public"}]},"user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","type":"dissertation","year":"2024","status":"public","date_published":"2024-07-09T00:00:00Z","alternative_title":["ISTA Thesis"],"_id":"17208","doi":"10.15479/at:ista:17208","corr_author":"1","abstract":[{"lang":"eng","text":"Can current quantum computers provide a speedup over their classical counterparts for some kinds of problems? In this thesis, with a focus on ground state search/preparation, we address some of the challenges that both quantum annealing and variational quantum algorithms suffer from, hindering any possible practical speedup in comparison to the best classical counterparts. \r\n\r\nIn the first part of the thesis, we study the performance of quantum annealing for solving a particular combinatorial optimization problem called 3-XOR satisfability (3-XORSAT). The classical problem is mapped into a ground state search of a 3-local classical Hamiltonian $H_C$. We consider how modifying the initial problem, by adding more interaction terms to the corresponding Hamiltonian, leads to the emergence of a first-order phase transition during the annealing process. This phenomenon causes the total annealing duration, $T$, required to prepare the ground state of $H_C$ with a high probability to increase exponentially with the size of the problem. Our findings indicate that with the growing complexity of problem instances, the likelihood of encountering first-order phase transitions also increases, making quantum annealing an impractical solution for these types of combinatorial optimization problems.\r\n\r\nIn the second part, we focus on the problem of barren plateaus in generic variational quantum algorithms. Barren plateaus correspond to flat regions in the parameter space where the gradient of the cost function is zero in expectation, and with the variance decaying exponentially with the system size, thus obstructing an efficient parameter optimization. We propose an algorithm to circumvent Barren Plateaus by monitoring the entanglement entropy of k-local reduced density matrices, alongside a method for estimating entanglement entropy via classical shadow tomography. We illustrate the approach with the paradigmatic example of the variational quantum eigensolver, and show that our algorithm effectively avoids barren plateaus in the initialization as well as during the optimization stage. \r\n\r\nLastly, in the last two Chapters of this thesis, we focus on the quantum approximate optimization algorithm (QAOA), originally introduced as an algorithm for solving generic combinatorial optimization problems in near-term quantum devices. Specifically, we focus on how to develop rigorous initialization strategies with guarantee improvement. Our motivation for this study lies in that for random initialization, the optimization typically leads to local minima with poor performance. Our main result corresponds to the analytical construction of index-1 saddle points or transition states, stationary points with a single direction of descent, as a tool for systematically exploring the QAOA optimization landscape. This leads us to propose a novel greedy parameter initialization strategy that guarantees for the energy to decrease with an increasing number of circuit layers. Furthermore, with precise estimates for the negative Hessian eigenvalue and its eigenvector, we establish a lower bound for energy improvement following a QAOA iteration."}],"oa_version":"Published Version","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","image":"/images/cc_by.png"},"citation":{"apa":"Medina Ramos, R. A. (2024). Exploring the optimization landscape of variational quantum algorithms. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:17208","ama":"Medina Ramos RA. Exploring the optimization landscape of variational quantum algorithms. 2024. doi:10.15479/at:ista:17208","ieee":"R. A. Medina Ramos, “Exploring the optimization landscape of variational quantum algorithms,” Institute of Science and Technology Austria, 2024.","chicago":"Medina Ramos, Raimel A. “Exploring the Optimization Landscape of Variational Quantum Algorithms.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:17208.","mla":"Medina Ramos, Raimel A. Exploring the Optimization Landscape of Variational Quantum Algorithms. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:17208.","ista":"Medina Ramos RA. 2024. Exploring the optimization landscape of variational quantum algorithms. Institute of Science and Technology Austria.","short":"R.A. Medina Ramos, Exploring the Optimization Landscape of Variational Quantum Algorithms, Institute of Science and Technology Austria, 2024."},"publication_identifier":{"issn":["2663-337X"]},"ec_funded":1,"publisher":"Institute of Science and Technology Austria","publication_status":"published","department":[{"_id":"GradSch"},{"_id":"MaSe"}],"oa":1,"acknowledged_ssus":[{"_id":"ScienComp"}],"article_processing_charge":"No","project":[{"_id":"23841C26-32DE-11EA-91FC-C7463DDC885E","grant_number":"850899","name":"Non-Ergodic Quantum Matter: Universality, Dynamics and Control","call_identifier":"H2020"}],"language":[{"iso":"eng"}],"degree_awarded":"PhD","ddc":["539"]}]