--- OA_place: repository OA_type: green _id: '19512' abstract: - lang: eng 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." 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 article_processing_charge: No arxiv: 1 author: - first_name: Joel Daniel full_name: Andersson, Joel Daniel last_name: Andersson - first_name: Monika H full_name: Henzinger, Monika H id: 540c9bbd-f2de-11ec-812d-d04a5be85630 last_name: Henzinger orcid: 0000-0002-5008-6530 - first_name: Rasmus full_name: Pagh, Rasmus last_name: Pagh - first_name: Teresa Anna full_name: Steiner, Teresa Anna last_name: Steiner - first_name: Jalaj full_name: Upadhyay, Jalaj last_name: Upadhyay citation: 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.' 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.' 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. 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. 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.' 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. 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. conference: end_date: 2024-12-15 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-09 corr_author: '1' date_created: 2025-04-06T22:01:32Z date_published: 2024-12-20T00:00:00Z date_updated: 2025-05-14T11:33:22Z day: '20' department: - _id: MoHe ec_funded: 1 external_id: arxiv: - '2406.03802' intvolume: ' 37' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2406.03802 month: '12' oa: 1 oa_version: Preprint project: - _id: bd9ca328-d553-11ed-ba76-dc4f890cfe62 call_identifier: H2020 grant_number: '101019564' name: The design and evaluation of modern fully dynamic data structures - _id: 34def286-11ca-11ed-8bc3-da5948e1613c grant_number: Z00422 name: Efficient algorithms - _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 publication: 38th Conference on Neural Information Processing Systems publication_identifier: issn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' scopus_import: '1' status: public title: Continual counting with gradual privacy expiration type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- OA_place: repository OA_type: green _id: '19515' 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" 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. alternative_title: - Advances in Neural Information Processing Systems article_processing_charge: No arxiv: 1 author: - first_name: Marco full_name: Fumero, Marco id: 1c1593eb-393f-11ef-bb8e-ab4f1e979650 last_name: Fumero - first_name: Marco full_name: Pegoraro, Marco last_name: Pegoraro - first_name: Valentino full_name: Maiorca, Valentino last_name: Maiorca - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Emanuele full_name: Rodolà, Emanuele last_name: Rodolà citation: 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.' 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.' 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.' 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.' 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.' 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.' 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. conference: end_date: 2024-12-15 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-09 corr_author: '1' date_created: 2025-04-06T22:01:32Z date_published: 2024-12-20T00:00:00Z date_updated: 2025-05-14T11:36:51Z day: '20' department: - _id: FrLo ec_funded: 1 external_id: arxiv: - '2406.14183' intvolume: ' 37' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2406.14183 month: '12' oa: 1 oa_version: Preprint project: - _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c call_identifier: H2020 grant_number: '101034413' name: 'IST-BRIDGE: International postdoctoral program' publication: 38th Conference on Neural Information Processing Systems publication_identifier: issn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' scopus_import: '1' status: public title: 'Latent functional maps: A spectral framework for representation alignment' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- OA_place: repository OA_type: green _id: '19517' abstract: - lang: eng 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." 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." alternative_title: - Advances in Neural Information Processing Systems article_processing_charge: No arxiv: 1 author: - first_name: Donato full_name: Crisostomi, Donato last_name: Crisostomi - first_name: Marco full_name: Fumero, Marco id: 1c1593eb-393f-11ef-bb8e-ab4f1e979650 last_name: Fumero - first_name: Daniele full_name: Baieri, Daniele last_name: Baieri - first_name: Florian full_name: Bernard, Florian last_name: Bernard - first_name: Emanuele full_name: Rodolà, Emanuele last_name: Rodolà citation: 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.' 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.' 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.' 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.' 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.' 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.' 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. conference: end_date: 2024-12-15 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-09 corr_author: '1' date_created: 2025-04-06T22:01:32Z date_published: 2024-12-20T00:00:00Z date_updated: 2025-05-14T11:36:59Z day: '20' department: - _id: FrLo ec_funded: 1 external_id: arxiv: - '2405.17897' intvolume: ' 37' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2405.17897 month: '12' oa: 1 oa_version: Preprint project: - _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c call_identifier: H2020 grant_number: '101034413' name: 'IST-BRIDGE: International postdoctoral program' publication: 38th Conference on Neural Information Processing Systems publication_identifier: issn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' scopus_import: '1' status: public title: 'C2M3: Cycle-consistent multi-model merging' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- OA_place: repository OA_type: green _id: '19518' abstract: - lang: eng 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." acknowledged_ssus: - _id: CampIT 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. alternative_title: - Advances in Neural Information Processing Systems article_processing_charge: No arxiv: 1 author: - first_name: Diyuan full_name: Wu, Diyuan id: 1a5914c2-896a-11ed-bdf8-fb80621a0635 last_name: Wu - first_name: Ionut-Vlad full_name: Modoranu, Ionut-Vlad id: 449f7a18-f128-11eb-9611-9b430c0c6333 last_name: Modoranu - first_name: Mher full_name: Safaryan, Mher id: dd546b39-0804-11ed-9c55-ef075c39778d last_name: Safaryan - first_name: Denis full_name: Kuznedelev, Denis last_name: Kuznedelev - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: 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.' 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.' 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.' 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.' 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.' 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.' 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. conference: end_date: 2024-12-15 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-09 corr_author: '1' date_created: 2025-04-06T22:01:32Z date_published: 2024-12-20T00:00:00Z date_updated: 2025-05-14T11:37:10Z day: '20' department: - _id: DaAl - _id: MaMo ec_funded: 1 external_id: arxiv: - '2408.17163' intvolume: ' 37' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2408.17163 month: '12' oa: 1 oa_version: Preprint project: - _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c call_identifier: H2020 grant_number: '101034413' name: 'IST-BRIDGE: International postdoctoral program' publication: 38th Conference on Neural Information Processing Systems publication_identifier: issn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' scopus_import: '1' status: public title: 'The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- OA_place: publisher OA_type: gold _id: '19519' abstract: - lang: eng 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. 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." alternative_title: - Advances in Neural Information Processing Systems article_processing_charge: No arxiv: 1 author: - first_name: Vladimir full_name: Malinovskii, Vladimir last_name: Malinovskii - first_name: Denis full_name: Mazur, Denis last_name: Mazur - first_name: Ivan full_name: Ilin, Ivan last_name: Ilin - first_name: Denis full_name: Kuznedelev, Denis last_name: Kuznedelev - first_name: Konstantin full_name: Burlachenko, Konstantin last_name: Burlachenko - first_name: Kai full_name: Yi, Kai last_name: Yi - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X - first_name: Peter full_name: Richtarik, Peter last_name: Richtarik 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.' 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.' 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.' 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.' 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. conference: end_date: 2024-12-15 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-10 date_created: 2025-04-06T22:01:32Z date_published: 2024-12-20T00:00:00Z date_updated: 2025-05-14T10:49:20Z day: '20' ddc: - '000' department: - _id: DaAl external_id: arxiv: - '2405.14852' file: - access_level: open_access checksum: 54d36f947887e26d0e568b512167001a content_type: application/pdf creator: dernst date_created: 2025-04-07T09:17:10Z date_updated: 2025-04-07T09:17:10Z file_id: '19521' file_name: 2024_NeurIPS_Malinovskii.pdf file_size: 939712 relation: main_file success: 1 file_date_updated: 2025-04-07T09:17:10Z has_accepted_license: '1' intvolume: ' 37' language: - iso: eng month: '12' oa: 1 oa_version: Published Version publication: 38th Conference on Neural Information Processing Systems publication_identifier: isbn: - '9798331314385' issn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' scopus_import: '1' status: public title: 'PV-tuning: Beyond straight-through estimation for extreme LLM compression' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- OA_place: repository OA_type: green _id: '19520' 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. acknowledged_ssus: - _id: Bio 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.). " article_processing_charge: No author: - first_name: David full_name: Vijatovic, David id: cf391e77-ec3c-11ea-a124-d69323410b58 last_name: Vijatovic - first_name: 'Florina Alexandra ' full_name: 'Toma, Florina Alexandra ' id: 2f73f876-f128-11eb-9611-b96b5a30cb0e last_name: Toma - first_name: Zoe P full_name: Harrington, Zoe P id: a8144562-32c9-11ee-b5ce-d9800628bda2 last_name: Harrington orcid: 0009-0008-0158-4032 - first_name: Christoph M full_name: Sommer, Christoph M id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87 last_name: Sommer orcid: 0000-0003-1216-9105 - first_name: Robert full_name: Hauschild, Robert id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87 last_name: Hauschild orcid: 0000-0001-9843-3522 - first_name: Alexandra J. full_name: Trevisan, Alexandra J. last_name: Trevisan - first_name: Phillip full_name: Chapman, Phillip last_name: Chapman - first_name: Mara full_name: Julseth, Mara id: 1cf464b2-dc7d-11ea-9b2f-f9b1aa9417d1 last_name: Julseth - first_name: Susan full_name: Brenner-Morton, Susan last_name: Brenner-Morton - first_name: Mariano I. full_name: Gabitto, Mariano I. last_name: Gabitto - first_name: Jeremy S. full_name: Dasen, Jeremy S. last_name: Dasen - first_name: Jay B. full_name: Bikoff, Jay B. last_name: Bikoff - first_name: Lora Beatrice Jaeger full_name: Sweeney, Lora Beatrice Jaeger id: 56BE8254-C4F0-11E9-8E45-0B23E6697425 last_name: Sweeney orcid: 0000-0001-9242-5601 citation: 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. . 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. 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. 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.). corr_author: '1' date_created: 2025-04-07T08:48:28Z date_published: 2024-09-27T00:00:00Z date_updated: 2025-05-14T11:40:13Z day: '27' department: - _id: LoSw - _id: TiVo - _id: Bio - _id: NiBa doi: 10.1101/2024.09.20.614050 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1101/2024.09.20.614050 month: '09' oa: 1 oa_version: Preprint project: - _id: bd73af52-d553-11ed-ba76-912049f0ac7a grant_number: FTI21-D-046 name: Development of V1 interneuron diversity during swim-to-walk transition of Xenopus metamorphosis - _id: ebb66355-77a9-11ec-83b8-b8ac210a4dae grant_number: '101041551' name: Development and Evolution of Tetrapod Motor Circuits - _id: c08e9ad1-5a5b-11eb-8a69-9d1cf3b07473 grant_number: CZI01 name: Tools for automation and feedback microscopy publication: bioRxiv publication_status: submitted status: public title: Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis type: preprint user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_place: repository OA_type: green _id: '19800' abstract: - lang: eng 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." article_processing_charge: No author: - first_name: Van Giang full_name: trinh, Van Giang last_name: trinh - first_name: Kyu Hyong full_name: Park, Kyu Hyong last_name: Park - first_name: Samuel full_name: Pastva, Samuel id: 07c5ea74-f61c-11ec-a664-aa7c5d957b2b last_name: Pastva orcid: 0000-0003-1993-0331 - first_name: Jordan full_name: Rozum, Jordan last_name: Rozum citation: 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. ista: trinh VG, Park KH, Pastva S, Rozum J. 2024. Mapping the attractor landscape of Boolean networks, Zenodo, 10.5281/ZENODO.13854759. mla: trinh, Van Giang, et al. Mapping the Attractor Landscape of Boolean Networks. Zenodo, 2024, doi:10.5281/ZENODO.13854759. short: V.G. trinh, K.H. Park, S. Pastva, J. Rozum, (2024). date_created: 2025-06-10T07:10:01Z date_published: 2024-09-28T00:00:00Z date_updated: 2025-09-30T12:46:33Z day: '28' ddc: - '000' department: - _id: ToHe doi: 10.5281/ZENODO.13854759 has_accepted_license: '1' main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.13854760 month: '09' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '19796' relation: used_in_publication status: public status: public title: Mapping the attractor landscape of Boolean networks tmp: image: /images/cc_by.png 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) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '19809' abstract: - lang: eng text: In many physical situations in which many-body assemblies exist at temperature T, a characteristic quantum-mechanical time scale of approximately h/kbT can be identified in both theory and experiment, leading to speculation that it may be the shortest meaningful time in such circumstances. This behavior can be investigated by probing the scattering rate of electrons in a broad class of materials often referred to as “strongly correlated metals”. It is clear that in some cases only electron–electron scattering can be its cause, while in others it arises from high-temperature scattering of electrons from quantized lattice vibrations, i.e., phonons. In metallic oxides, which are among the most studied materials, analysis of electrical transport does not satisfactorily identify the relevant scattering mechanism at “high” temperatures near room temperature. We therefore employ a contactless optical method to measure thermal diffusivity in two Ru-based layered perovskites, Sr3Ru2O7 and Sr2RuO4, and use the measurements to extract the dimensionless Lorenz ratio. By comparing our results to the literature data on both conventional and unconventional metals, we show how the analysis of high-temperature thermal transport can both give important insight into dominant scattering mechanisms and be offered as a stringent test of theories attempting to explain anomalous scattering. article_processing_charge: No article_type: original author: - first_name: Fei full_name: Sun, Fei last_name: Sun - first_name: Simli full_name: Mishra, Simli last_name: Mishra - first_name: Ulrike full_name: Stockert, Ulrike last_name: Stockert - first_name: Ramzy full_name: Daou, Ramzy last_name: Daou - first_name: Naoki full_name: Kikugawa, Naoki last_name: Kikugawa - first_name: Robin S. full_name: Perry, Robin S. last_name: Perry - first_name: Elena full_name: Hassinger, Elena last_name: Hassinger - first_name: Sean A. full_name: Hartnoll, Sean A. last_name: Hartnoll - first_name: Andrew P. full_name: Mackenzie, Andrew P. last_name: Mackenzie - first_name: Veronika full_name: Sunko, Veronika id: 23cb1cf6-2c7a-11ef-91a4-f72fc19f20b3 last_name: Sunko orcid: 0000-0003-2724-3523 citation: ama: Sun F, Mishra S, Stockert U, et al. The Lorenz ratio as a guide to scattering contributions to transport in strongly correlated metals. Proceedings of the National Academy of Sciences. 2024;121(35). doi:10.1073/pnas.2318159121 apa: Sun, F., Mishra, S., Stockert, U., Daou, R., Kikugawa, N., Perry, R. S., … Sunko, V. (2024). The Lorenz ratio as a guide to scattering contributions to transport in strongly correlated metals. Proceedings of the National Academy of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.2318159121 chicago: Sun, Fei, Simli Mishra, Ulrike Stockert, Ramzy Daou, Naoki Kikugawa, Robin S. Perry, Elena Hassinger, Sean A. Hartnoll, Andrew P. Mackenzie, and Veronika Sunko. “The Lorenz Ratio as a Guide to Scattering Contributions to Transport in Strongly Correlated Metals.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2024. https://doi.org/10.1073/pnas.2318159121. ieee: F. Sun et al., “The Lorenz ratio as a guide to scattering contributions to transport in strongly correlated metals,” Proceedings of the National Academy of Sciences, vol. 121, no. 35. National Academy of Sciences, 2024. ista: Sun F, Mishra S, Stockert U, Daou R, Kikugawa N, Perry RS, Hassinger E, Hartnoll SA, Mackenzie AP, Sunko V. 2024. The Lorenz ratio as a guide to scattering contributions to transport in strongly correlated metals. Proceedings of the National Academy of Sciences. 121(35). mla: Sun, Fei, et al. “The Lorenz Ratio as a Guide to Scattering Contributions to Transport in Strongly Correlated Metals.” Proceedings of the National Academy of Sciences, vol. 121, no. 35, National Academy of Sciences, 2024, doi:10.1073/pnas.2318159121. short: F. Sun, S. Mishra, U. Stockert, R. Daou, N. Kikugawa, R.S. Perry, E. Hassinger, S.A. Hartnoll, A.P. Mackenzie, V. Sunko, Proceedings of the National Academy of Sciences 121 (2024). date_created: 2025-06-10T09:12:41Z date_published: 2024-08-27T00:00:00Z date_updated: 2025-06-10T11:50:48Z day: '27' doi: 10.1073/pnas.2318159121 extern: '1' external_id: pmid: - '39172781' has_accepted_license: '1' intvolume: ' 121' issue: '35' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1073/pnas.2318159121 month: '08' oa: 1 oa_version: Published Version pmid: 1 publication: Proceedings of the National Academy of Sciences publication_identifier: eissn: - 1091-6490 issn: - 0027-8424 publication_status: published publisher: National Academy of Sciences quality_controlled: '1' scopus_import: '1' status: public title: The Lorenz ratio as a guide to scattering contributions to transport in strongly correlated metals tmp: image: /images/cc_by.png 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) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 121 year: '2024' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '19816' abstract: - lang: eng text: 'Understanding and manipulating emergent phases, which are themes at the forefront of quantum-materials research, rely on identifying their underlying symmetries. This general principle has been particularly prominent in materials with coupled electronic and magnetic degrees of freedom, in which magnetic order influences the electronic band structure and can lead to exotic topological effects. However, identifying symmetry of a magnetically ordered phase can pose a challenge, particularly in the presence of small domains. Here we introduce a multimodal approach for determining magnetic structures, which combines symmetry-sensitive optical probes, scattering, and group-theoretical analysis. We apply it to EuIn2⁢As2, a material that has received attention as a candidate axion insulator. While first-principles calculations predict this state on the assumption of a simple collinear antiferromagnetic structure, subsequent neutron-scattering measurements reveal a much more intricate magnetic ground state characterized by two coexisting magnetic wave vectors reached by successive thermal phase transitions. The proposed high- and low-temperature phases are a spin helix and a state with interpenetrating helical and Néel antiferromagnetic order termed a “broken helix,” respectively. Employing a multimodal approach, we identify the magnetic structure associated with these two phases of EuIn2⁢As2. We find that the higher-temperature phase is characterized by a variation of the magnetic moment amplitude from layer to layer, with the moment vanishing entirely in every third Eu layer. The lower-temperature structure is similar to the broken helix, with one important difference: Because of local strain, the relative orientation of the magnetic structure and the lattice is not fixed. Consequently, the symmetry required to protect the axion phase is not generically protected in EuIn2⁢As2, but we show that it can be restored if the magnetic structure is tuned with uniaxial strain. Finally, we present a spin Hamiltonian that identifies the spin interactions that account for the complex magnetic order in EuIn2⁢As2. Our work highlights the importance of a multimodal approach in determining the symmetry of complex order parameters.' article_number: '031013' article_processing_charge: No article_type: original author: - first_name: E. full_name: Donoway, E. last_name: Donoway - first_name: T. V. full_name: Trevisan, T. V. last_name: Trevisan - first_name: A. full_name: Liebman-Peláez, A. last_name: Liebman-Peláez - first_name: R. P. full_name: Day, R. P. last_name: Day - first_name: K. full_name: Yamakawa, K. last_name: Yamakawa - first_name: Y. full_name: Sun, Y. last_name: Sun - first_name: J. R. full_name: Soh, J. R. last_name: Soh - first_name: D. full_name: Prabhakaran, D. last_name: Prabhakaran - first_name: A. T. full_name: Boothroyd, A. T. last_name: Boothroyd - first_name: R. M. full_name: Fernandes, R. M. last_name: Fernandes - first_name: J. G. full_name: Analytis, J. G. last_name: Analytis - first_name: J. E. full_name: Moore, J. E. last_name: Moore - first_name: J. full_name: Orenstein, J. last_name: Orenstein - first_name: Veronika full_name: Sunko, Veronika id: 23cb1cf6-2c7a-11ef-91a4-f72fc19f20b3 last_name: Sunko orcid: 0000-0003-2724-3523 citation: ama: Donoway E, Trevisan TV, Liebman-Peláez A, et al. Multimodal approach reveals the symmetry-breaking pathway to the broken helix in EuIn2As2. Physical Review X. 2024;14(3). doi:10.1103/physrevx.14.031013 apa: Donoway, E., Trevisan, T. V., Liebman-Peláez, A., Day, R. P., Yamakawa, K., Sun, Y., … Sunko, V. (2024). Multimodal approach reveals the symmetry-breaking pathway to the broken helix in EuIn2As2. Physical Review X. American Physical Society. https://doi.org/10.1103/physrevx.14.031013 chicago: Donoway, E., T. V. Trevisan, A. Liebman-Peláez, R. P. Day, K. Yamakawa, Y. Sun, J. R. Soh, et al. “Multimodal Approach Reveals the Symmetry-Breaking Pathway to the Broken Helix in EuIn2As2.” Physical Review X. American Physical Society, 2024. https://doi.org/10.1103/physrevx.14.031013. ieee: E. Donoway et al., “Multimodal approach reveals the symmetry-breaking pathway to the broken helix in EuIn2As2,” Physical Review X, vol. 14, no. 3. American Physical Society, 2024. ista: Donoway E, Trevisan TV, Liebman-Peláez A, Day RP, Yamakawa K, Sun Y, Soh JR, Prabhakaran D, Boothroyd AT, Fernandes RM, Analytis JG, Moore JE, Orenstein J, Sunko V. 2024. Multimodal approach reveals the symmetry-breaking pathway to the broken helix in EuIn2As2. Physical Review X. 14(3), 031013. mla: Donoway, E., et al. “Multimodal Approach Reveals the Symmetry-Breaking Pathway to the Broken Helix in EuIn2As2.” Physical Review X, vol. 14, no. 3, 031013, American Physical Society, 2024, doi:10.1103/physrevx.14.031013. short: E. Donoway, T.V. Trevisan, A. Liebman-Peláez, R.P. Day, K. Yamakawa, Y. Sun, J.R. Soh, D. Prabhakaran, A.T. Boothroyd, R.M. Fernandes, J.G. Analytis, J.E. Moore, J. Orenstein, V. Sunko, Physical Review X 14 (2024). date_created: 2025-06-10T09:17:30Z date_published: 2024-07-22T00:00:00Z date_updated: 2025-06-10T13:14:20Z day: '22' doi: 10.1103/physrevx.14.031013 extern: '1' intvolume: ' 14' issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1103/physrevx.14.031013 month: '07' oa: 1 oa_version: Published Version publication: Physical Review X publication_identifier: eissn: - 2160-3308 publication_status: published publisher: American Physical Society quality_controlled: '1' scopus_import: '1' status: public title: Multimodal approach reveals the symmetry-breaking pathway to the broken helix in EuIn2As2 type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 14 year: '2024' ... --- OA_place: repository _id: '19884' abstract: - lang: eng 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)." article_processing_charge: No author: - first_name: Elias full_name: Frantar, Elias id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f last_name: Frantar - first_name: Roberto full_name: Castro, Roberto last_name: Castro - first_name: Jiale full_name: Chen, Jiale id: 4d0a9064-1ff6-11ee-9fa6-ec046c604785 last_name: Chen orcid: 0000-0001-5337-5875 - first_name: Torsten full_name: Hoefler, Torsten last_name: Hoefler - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: 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' 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' 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.' 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.' 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.' mla: 'Frantar, Elias, et al. MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models. Zenodo, 2024, doi:10.5281/ZENODO.14213091.' short: E. Frantar, R. Castro, J. Chen, T. Hoefler, D.-A. Alistarh, (2024). corr_author: '1' date_created: 2025-06-24T06:09:18Z date_published: 2024-11-24T00:00:00Z date_updated: 2025-09-30T13:41:56Z day: '24' ddc: - '000' department: - _id: DaAl doi: 10.5281/ZENODO.14213091 has_accepted_license: '1' main_file_link: - open_access: '1' url: https://doi.org/10.5281/ZENODO.14213091 month: '11' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '19877' relation: used_for_analysis_in status: public status: public title: 'MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models' tmp: image: /images/cc_by.png 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) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_type: closed access _id: '20039' abstract: - lang: eng 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. 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 article_type: comment author: - first_name: Maja full_name: Neidhart, Maja last_name: Neidhart - first_name: Rikka full_name: Kjelkenes, Rikka last_name: Kjelkenes - first_name: Karina full_name: Jansone, Karina last_name: Jansone - first_name: Barbora full_name: Rehák Bučková, Barbora last_name: Rehák Bučková - first_name: Nathalie full_name: Holz, Nathalie last_name: Holz - first_name: Frauke full_name: Nees, Frauke last_name: Nees - first_name: Henrik full_name: Walter, Henrik last_name: Walter - first_name: Gunter full_name: Schumann, Gunter last_name: Schumann - first_name: Michael A. full_name: Rapp, Michael A. last_name: Rapp - first_name: Tobias full_name: Banaschewski, Tobias last_name: Banaschewski - first_name: Emanuel full_name: Schwarz, Emanuel last_name: Schwarz - first_name: Andre full_name: Marquand, Andre last_name: Marquand - first_name: George full_name: Ogoh, George last_name: Ogoh - first_name: Bernd full_name: Stahl, Bernd last_name: Stahl - first_name: Allan H. full_name: Young, Allan H. last_name: Young - first_name: Sylvane full_name: Desrivières, Sylvane last_name: Desrivières - first_name: Nicholas full_name: Clinton, Nicholas last_name: Clinton - first_name: Paul full_name: Thompson, Paul last_name: Thompson - first_name: Ameli full_name: Schwalber, Ameli last_name: Schwalber - first_name: Jingyu full_name: Liu, Jingyu last_name: Liu - first_name: Vince full_name: Calhoun, Vince last_name: Calhoun - first_name: Xiao full_name: Chang, Xiao last_name: Chang - first_name: Yunman full_name: Xia, Yunman last_name: Xia - first_name: Yanting full_name: Gong, Yanting last_name: Gong - first_name: Tianye full_name: Jia, Tianye last_name: Jia - first_name: Paul full_name: Renner, Paul last_name: Renner - first_name: Sören full_name: Hese, Sören last_name: Hese - first_name: Arantxa full_name: Giner, Arantxa last_name: Giner - first_name: Mavi full_name: Sanchez, Mavi last_name: Sanchez - first_name: Elena full_name: Alvarez, Elena last_name: Alvarez - first_name: Bernhard full_name: Spanlang, Bernhard last_name: Spanlang - first_name: Charlie full_name: Pearmund, Charlie last_name: Pearmund - first_name: Anastasios Polykarpos full_name: Athanasiadis, Anastasios Polykarpos last_name: Athanasiadis - first_name: Lisa full_name: Otten, Lisa last_name: Otten - first_name: Séverine full_name: Pitel, Séverine last_name: Pitel - first_name: Spase full_name: Petkoski, Spase last_name: Petkoski - first_name: Viktor full_name: Jirsa, Viktor last_name: Jirsa - first_name: Karen full_name: Schmitt, Karen last_name: Schmitt - first_name: Johannes full_name: Wilbertz, Johannes last_name: Wilbertz - first_name: Myrto full_name: Patraskaki, Myrto last_name: Patraskaki - first_name: Peter full_name: Sommer, Peter last_name: Sommer - first_name: Stefanie full_name: Heilmann-Heimbach, Stefanie last_name: Heilmann-Heimbach - first_name: Carina M. full_name: Mathey, Carina M. last_name: Mathey - first_name: Abigail full_name: Miller, Abigail last_name: Miller - first_name: Isabelle full_name: Claus, Isabelle last_name: Claus - first_name: Markus M. full_name: Nöthen, Markus M. last_name: Nöthen - first_name: Per full_name: Hoffmann, Per last_name: Hoffmann - first_name: Andreas J. full_name: Forstner, Andreas J. last_name: Forstner - first_name: Alvaro full_name: Pastor, Alvaro last_name: Pastor - first_name: Jaime full_name: Gallego, Jaime last_name: Gallego - first_name: Francisco Eiroa full_name: Orosa, Francisco Eiroa last_name: Orosa - first_name: Guillem Feixas full_name: Viapiana, Guillem Feixas last_name: Viapiana - first_name: Mel full_name: Slater, Mel last_name: Slater - first_name: Lena full_name: Marr, Lena id: 4406F586-F248-11E8-B48F-1D18A9856A87 last_name: Marr - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Sarah Jane full_name: Böttger, Sarah Jane last_name: Böttger - first_name: Mira full_name: Tschorn, Mira last_name: Tschorn - first_name: Michael full_name: Rapp, Michael last_name: Rapp - first_name: Helga full_name: Ask, Helga last_name: Ask - first_name: Sara full_name: Fernandez, Sara last_name: Fernandez - first_name: Dennis full_name: Van Der Meer, Dennis last_name: Van Der Meer - first_name: Lars T. full_name: Westlye, Lars T. last_name: Westlye - first_name: Ole A. full_name: Andreassen, Ole A. last_name: Andreassen - first_name: Rieke full_name: Aden, Rieke last_name: Aden - first_name: Beke full_name: Seefried, Beke last_name: Seefried - first_name: Sebastian full_name: Siehl, Sebastian last_name: Siehl - first_name: Frauke full_name: Nees, Frauke last_name: Nees - first_name: Argyris full_name: Stringaris, Argyris last_name: Stringaris - first_name: Heike full_name: Tost, Heike last_name: Tost - first_name: Andreas full_name: Meyer-Lindenberg, Andreas last_name: Meyer-Lindenberg - first_name: Nina full_name: Christmann, Nina last_name: Christmann - first_name: Jamie full_name: Banks, Jamie last_name: Banks - first_name: Kerstin full_name: Schepanski, Kerstin last_name: Schepanski - first_name: Tatjana full_name: Schütz, Tatjana last_name: Schütz - first_name: Ulrike Helene full_name: Taron, Ulrike Helene last_name: Taron - first_name: Roland full_name: Eils, Roland last_name: Eils - first_name: Jean Charles full_name: Roy, Jean Charles last_name: Roy - first_name: Tristram A. full_name: Lett, Tristram A. last_name: Lett - first_name: Hedi full_name: Kebir, Hedi last_name: Kebir - first_name: Elli full_name: Polemiti, Elli last_name: Polemiti - first_name: Esther full_name: Hitchen, Esther last_name: Hitchen - first_name: Marcel full_name: Jentsch, Marcel last_name: Jentsch - first_name: Emin full_name: Serin, Emin last_name: Serin - first_name: Antoine full_name: Bernas, Antoine last_name: Bernas - first_name: Nilakshi full_name: Vaidya, Nilakshi last_name: Vaidya - first_name: Sven full_name: Twardziok, Sven last_name: Twardziok - first_name: Markus full_name: Ralser, Markus last_name: Ralser - first_name: Andreas full_name: Heinz, Andreas last_name: Heinz citation: 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 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 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. 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. 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. 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. 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. date_created: 2025-07-20T22:02:04Z date_published: 2024-10-01T00:00:00Z date_updated: 2025-07-22T08:59:10Z day: '01' department: - _id: GaNo doi: 10.1038/s44220-024-00315-0 intvolume: ' 2' issue: '10' language: - iso: eng month: '10' oa_version: None page: 1134-1137 publication: Nature Mental Health publication_identifier: eissn: - 2731-6076 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: A protocol for data harmonization in large cohorts type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2 year: '2024' ... --- OA_place: publisher OA_type: free access _id: '20057' 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. article_number: '2470004' article_processing_charge: No author: - first_name: Guifang full_name: Zeng, Guifang last_name: Zeng - first_name: Qing full_name: Sun, Qing last_name: Sun - first_name: Sharona full_name: Horta, Sharona id: 03a7e858-01b1-11ec-8b71-99ae6c4a05bc last_name: Horta - first_name: Shang full_name: Wang, Shang last_name: Wang - first_name: Xuan full_name: Lu, Xuan last_name: Lu - first_name: Chao Yue full_name: Zhang, Chao Yue last_name: Zhang - first_name: Jing full_name: Li, Jing last_name: Li - first_name: Junshan full_name: Li, Junshan last_name: Li - first_name: Lijie full_name: Ci, Lijie last_name: Ci - first_name: Yanhong full_name: Tian, Yanhong last_name: Tian - first_name: Maria full_name: Ibáñez, Maria id: 43C61214-F248-11E8-B48F-1D18A9856A87 last_name: Ibáñez orcid: 0000-0001-5013-2843 - first_name: Andreu full_name: Cabot, Andreu last_name: Cabot citation: 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' 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.' 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.' 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.' 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.' 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.' date_created: 2025-07-21T08:53:06Z date_published: 2024-01-04T00:00:00Z date_updated: 2026-06-18T18:19:28Z day: '04' ddc: - '530' department: - _id: MaIb doi: 10.1002/adma.202470004 intvolume: ' 36' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1002/adma.202470004 month: '01' oa: 1 oa_version: Published Version publication: Advanced Materials publication_identifier: eissn: - 1521-4095 issn: - 0935-9648 publication_status: published publisher: Wiley quality_controlled: '1' status: public title: 'A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries' type: other_academic_publication user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 36 year: '2024' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold PlanS_conform: '1' _id: '20060' abstract: - lang: spa 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: eng 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 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”. article_processing_charge: Yes article_type: original author: - first_name: Sidney full_name: Carls-Diamante, Sidney last_name: Carls-Diamante - first_name: Alice full_name: Laciny, Alice id: accace3f-3f77-11eb-b1df-f1221b04cb95 last_name: Laciny orcid: 0000-0002-5485-1391 citation: 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' 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.' 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.' 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.' 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.' short: S. Carls-Diamante, A. Laciny, Lógoi. Revista de Filosofía (2024) 88–114. corr_author: '1' date_created: 2025-07-21T10:35:39Z date_published: 2024-03-19T00:00:00Z date_updated: 2025-09-09T08:51:00Z day: '19' ddc: - '570' doi: 10.62876/lr.vi45.6481 file: - access_level: open_access checksum: 04c950f26ad68455c3a303c87ccf2349 content_type: application/pdf creator: dernst date_created: 2025-09-09T08:48:53Z date_updated: 2025-09-09T08:48:53Z file_id: '20317' file_name: 2025_Logoi_CarlsDiamante.pdf file_size: 354124 relation: main_file success: 1 file_date_updated: 2025-09-09T08:48:53Z has_accepted_license: '1' issue: '45' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-sa/4.0/ month: '03' oa: 1 oa_version: Published Version page: 88-114 publication: Lógoi. Revista de Filosofía publication_identifier: eissn: - 1316-693X issn: - 2790-5144 publication_status: published publisher: Universidad Católica Andrés Bello quality_controlled: '1' status: public title: 'Stuck in uncertainty: A predictive processing/ active inference account of procrastination-like behaviour in autism' 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) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- _id: '20121' 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. acknowledgement: This study was partially funded by Science and Engineering Research Board, Department of Science and Technology, Government of India to Vishwesha Guttal. article_processing_charge: No author: - first_name: Arshed full_name: Nabeel, Arshed last_name: Nabeel - first_name: Ashwin full_name: Karichannavar, Ashwin last_name: Karichannavar - first_name: Shuaib full_name: Palathingal, Shuaib last_name: Palathingal - first_name: Jitesh full_name: Jhawar, Jitesh last_name: Jhawar - first_name: David full_name: Brückner, David id: e1e86031-6537-11eb-953a-f7ab92be508d last_name: Brückner orcid: 0000-0001-7205-2975 - first_name: Masila full_name: Danny Raj, Masila last_name: Danny Raj - first_name: Vishwesha full_name: Guttal, Vishwesha last_name: Guttal citation: 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' 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' 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.' ieee: 'A. Nabeel et al., “PyDaddy: A Python Package for Discovering SDEs from Time Series Data.” Zenodo, 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.' mla: 'Nabeel, Arshed, et al. PyDaddy: A Python Package for Discovering SDEs from Time Series Data. Zenodo, 2024, doi:10.5281/ZENODO.7137151.' short: A. Nabeel, A. Karichannavar, S. Palathingal, J. Jhawar, D. Brückner, M. Danny Raj, V. Guttal, (2024). date_created: 2025-08-05T06:49:59Z date_published: 2024-09-18T00:00:00Z date_updated: 2025-09-30T14:14:42Z day: '18' ddc: - '570' department: - _id: EdHa doi: 10.5281/ZENODO.7137151 has_accepted_license: '1' main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.7137151 month: '09' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '20056' relation: used_for_analysis_in status: public status: public title: 'PyDaddy: A Python Package for Discovering SDEs from Time Series Data' tmp: image: /images/cc_by.png 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) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_type: closed access _id: '20156' abstract: - lang: eng 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. 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.' article_processing_charge: No article_type: comment author: - first_name: Sylvane full_name: Desrivières, Sylvane last_name: Desrivières - first_name: Abigail full_name: Miller, Abigail last_name: Miller - first_name: Carina M. full_name: Mathey, Carina M. last_name: Mathey - first_name: Xinyang full_name: Yu, Xinyang last_name: Yu - first_name: Di full_name: Chen, Di last_name: Chen - first_name: Kofoworola full_name: Agunbiade, Kofoworola last_name: Agunbiade - first_name: Stefanie full_name: Heilmann-Heimbach, Stefanie last_name: Heilmann-Heimbach - first_name: Andreas J. full_name: Forstner, Andreas J. last_name: Forstner - first_name: Gunter full_name: Schumann, Gunter last_name: Schumann - first_name: Per full_name: Hoffmann, Per last_name: Hoffmann - first_name: Markus M. full_name: Nöthen, Markus M. last_name: Nöthen - first_name: George full_name: Ogoh, George last_name: Ogoh - first_name: Bernd full_name: Stahl, Bernd last_name: Stahl - first_name: Allan H. full_name: Young, Allan H. last_name: Young - first_name: Nicholas full_name: Clinton, Nicholas last_name: Clinton - first_name: Paul full_name: Thompson, Paul last_name: Thompson - first_name: Ameli full_name: Schwalber, Ameli last_name: Schwalber - first_name: Jingyu full_name: Liu, Jingyu last_name: Liu - first_name: Vince full_name: Calhoun, Vince last_name: Calhoun - first_name: Xiao full_name: Chang, Xiao last_name: Chang - first_name: Yunman full_name: Xia, Yunman last_name: Xia - first_name: Yanting full_name: Gong, Yanting last_name: Gong - first_name: Tianye full_name: Jia, Tianye last_name: Jia - first_name: Paul full_name: Renner, Paul last_name: Renner - first_name: Sören full_name: Hese, Sören last_name: Hese - first_name: Arantxa full_name: Giner, Arantxa last_name: Giner - first_name: Mavi full_name: Sanchez, Mavi last_name: Sanchez - first_name: Elena full_name: Alvarez, Elena last_name: Alvarez - first_name: Bernhard full_name: Spanlang, Bernhard last_name: Spanlang - first_name: Charlie full_name: Pearmund, Charlie last_name: Pearmund - first_name: Anastasios Polykarpos full_name: Athanasiadis, Anastasios Polykarpos last_name: Athanasiadis - first_name: Lisa full_name: Otten, Lisa last_name: Otten - first_name: Séverine full_name: Pitel, Séverine last_name: Pitel - first_name: Spase full_name: Petkoski, Spase last_name: Petkoski - first_name: Viktor full_name: Jirsa, Viktor last_name: Jirsa - first_name: Karen full_name: Schmitt, Karen last_name: Schmitt - first_name: Johannes full_name: Wilbertz, Johannes last_name: Wilbertz - first_name: Myrto full_name: Patraskaki, Myrto last_name: Patraskaki - first_name: Peter full_name: Sommer, Peter last_name: Sommer - first_name: Isabelle full_name: Claus, Isabelle last_name: Claus - first_name: Alvaro full_name: Pastor, Alvaro last_name: Pastor - first_name: Jaime full_name: Gallego, Jaime last_name: Gallego - first_name: Francisco Eiroa full_name: Orosa, Francisco Eiroa last_name: Orosa - first_name: Guillem Feixas full_name: Viapiana, Guillem Feixas last_name: Viapiana - first_name: Mel full_name: Slater, Mel last_name: Slater - first_name: Lena full_name: Marr, Lena id: 4406F586-F248-11E8-B48F-1D18A9856A87 last_name: Marr - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Andre full_name: Marquand, Andre last_name: Marquand - first_name: Sarah Jane full_name: Böttger, Sarah Jane last_name: Böttger - first_name: Mira full_name: Tschorn, Mira last_name: Tschorn - first_name: Michael full_name: Rapp, Michael last_name: Rapp - first_name: Helga full_name: Ask, Helga last_name: Ask - first_name: Rikka full_name: Kjelkenes, Rikka last_name: Kjelkenes - first_name: Sara full_name: Fernandez, Sara last_name: Fernandez - first_name: Dennis full_name: Van Der Meer, Dennis last_name: Van Der Meer - first_name: Lars T. full_name: Westlye, Lars T. last_name: Westlye - first_name: Ole A. full_name: Andreassen, Ole A. last_name: Andreassen - first_name: Rieke full_name: Aden, Rieke last_name: Aden - first_name: Beke full_name: Seefried, Beke last_name: Seefried - first_name: Sebastian full_name: Siehl, Sebastian last_name: Siehl - first_name: Frauke full_name: Nees, Frauke last_name: Nees - first_name: Maja full_name: Neidhart, Maja last_name: Neidhart - first_name: Argyris full_name: Stringaris, Argyris last_name: Stringaris - first_name: Emanuel full_name: Schwarz, Emanuel last_name: Schwarz - first_name: Nathalie full_name: Holz, Nathalie last_name: Holz - first_name: Heike full_name: Tost, Heike last_name: Tost - first_name: Andreas full_name: Meyer-Lindenberg, Andreas last_name: Meyer-Lindenberg - first_name: Nina full_name: Christmann, Nina last_name: Christmann - first_name: Karina full_name: Jansone, Karina last_name: Jansone - first_name: Tobias full_name: Banaschewski, Tobias last_name: Banaschewski - first_name: Jamie full_name: Banks, Jamie last_name: Banks - first_name: Kerstin full_name: Schepanski, Kerstin last_name: Schepanski - first_name: Tatjana full_name: Schütz, Tatjana last_name: Schütz - first_name: Ulrike Helene full_name: Taron, Ulrike Helene last_name: Taron - first_name: Roland full_name: Eils, Roland last_name: Eils - first_name: Jean Charles full_name: Roy, Jean Charles last_name: Roy - first_name: Tristram A. full_name: Lett, Tristram A. last_name: Lett - first_name: Hedi full_name: Kebir, Hedi last_name: Kebir - first_name: Elli full_name: Polemiti, Elli last_name: Polemiti - first_name: Esther full_name: Hitchen, Esther last_name: Hitchen - first_name: Marcel full_name: Jentsch, Marcel last_name: Jentsch - first_name: Emin full_name: Serin, Emin last_name: Serin - first_name: Antoine full_name: Bernas, Antoine last_name: Bernas - first_name: Nilakshi full_name: Vaidya, Nilakshi last_name: Vaidya - first_name: Sven full_name: Twardziok, Sven last_name: Twardziok - first_name: Markus full_name: Ralser, Markus last_name: Ralser - first_name: Andreas full_name: Heinz, Andreas last_name: Heinz - first_name: Henrik full_name: Walter, Henrik last_name: Walter citation: 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 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 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. 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. 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. 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. 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. date_created: 2025-08-10T22:01:30Z date_published: 2024-10-01T00:00:00Z date_updated: 2025-08-11T06:44:03Z day: '01' department: - _id: GaNo doi: 10.1038/s44220-024-00317-y intvolume: ' 2' issue: '10' language: - iso: eng month: '10' oa_version: None page: 1131-1133 publication: Nature Mental Health publication_identifier: eissn: - 2731-6076 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Multi-omics analyses of the environMENTAL project provide insights into mental health and disease type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2 year: '2024' ... --- OA_type: closed access _id: '20157' 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. 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). article_number: 1128-1130 article_processing_charge: No article_type: comment author: - first_name: Bernd full_name: Stahl, Bernd last_name: Stahl - first_name: George full_name: Ogoh, George last_name: Ogoh - first_name: Gunter full_name: Schumann, Gunter last_name: Schumann - first_name: Henrik full_name: Walter, Henrik last_name: Walter - first_name: Bernd full_name: Stahl, Bernd last_name: Stahl - first_name: Allan H. full_name: Young, Allan H. last_name: Young - first_name: Sylvane full_name: Desrivières, Sylvane last_name: Desrivières - first_name: Nicholas full_name: Clinton, Nicholas last_name: Clinton - first_name: Paul full_name: Thompson, Paul last_name: Thompson - first_name: Ameli full_name: Schwalber, Ameli last_name: Schwalber - first_name: Jingyu full_name: Liu, Jingyu last_name: Liu - first_name: Vince full_name: Calhoun, Vince last_name: Calhoun - first_name: Xiao full_name: Chang, Xiao last_name: Chang - first_name: Yunman full_name: Xia, Yunman last_name: Xia - first_name: Yanting full_name: Gong, Yanting last_name: Gong - first_name: Tianye full_name: Jia, Tianye last_name: Jia - first_name: Paul full_name: Renner, Paul last_name: Renner - first_name: Sören full_name: Hese, Sören last_name: Hese - first_name: Arantxa full_name: Giner, Arantxa last_name: Giner - first_name: Mavi full_name: Sanchez, Mavi last_name: Sanchez - first_name: Elena full_name: Alvarez, Elena last_name: Alvarez - first_name: Bernhard full_name: Spanlang, Bernhard last_name: Spanlang - first_name: Charlie full_name: Pearmund, Charlie last_name: Pearmund - first_name: Anastasios Polykarpos full_name: Athanasiadis, Anastasios Polykarpos last_name: Athanasiadis - first_name: Lisa full_name: Otten, Lisa last_name: Otten - first_name: Séverine full_name: Pitel, Séverine last_name: Pitel - first_name: Spase full_name: Petkoski, Spase last_name: Petkoski - first_name: Viktor full_name: Jirsa, Viktor last_name: Jirsa - first_name: Karen full_name: Schmitt, Karen last_name: Schmitt - first_name: Johannes full_name: Wilbertz, Johannes last_name: Wilbertz - first_name: Myrto full_name: Patraskaki, Myrto last_name: Patraskaki - first_name: Peter full_name: Sommer, Peter last_name: Sommer - first_name: Stefanie full_name: Heilmann-Heimbach, Stefanie last_name: Heilmann-Heimbach - first_name: Carina M. full_name: Mathey, Carina M. last_name: Mathey - first_name: Abigail full_name: Miller, Abigail last_name: Miller - first_name: Isabelle full_name: Claus, Isabelle last_name: Claus - first_name: Markus M. full_name: Nöthen, Markus M. last_name: Nöthen - first_name: Per full_name: Hoffmann, Per last_name: Hoffmann - first_name: Andreas J. full_name: Forstner, Andreas J. last_name: Forstner - first_name: Alvaro full_name: Pastor, Alvaro last_name: Pastor - first_name: Jaime full_name: Gallego, Jaime last_name: Gallego - first_name: Francisco Eiroa full_name: Orosa, Francisco Eiroa last_name: Orosa - first_name: Guillem Feixas full_name: Viapiana, Guillem Feixas last_name: Viapiana - first_name: Mel full_name: Slater, Mel last_name: Slater - first_name: Lena full_name: Marr, Lena id: 4406F586-F248-11E8-B48F-1D18A9856A87 last_name: Marr - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Andre full_name: Marquand, Andre last_name: Marquand - first_name: Sarah Jane full_name: Böttger, Sarah Jane last_name: Böttger - first_name: Mira full_name: Tschorn, Mira last_name: Tschorn - first_name: Michael full_name: Rapp, Michael last_name: Rapp - first_name: Helga full_name: Ask, Helga last_name: Ask - first_name: Rikka full_name: Kjelkenes, Rikka last_name: Kjelkenes - first_name: Sara full_name: Fernandez, Sara last_name: Fernandez - first_name: Dennis full_name: Van Der Meer, Dennis last_name: Van Der Meer - first_name: Lars T. full_name: Westlye, Lars T. last_name: Westlye - first_name: Ole A. full_name: Andreassen, Ole A. last_name: Andreassen - first_name: Rieke full_name: Aden, Rieke last_name: Aden - first_name: Beke full_name: Seefried, Beke last_name: Seefried - first_name: Sebastian full_name: Siehl, Sebastian last_name: Siehl - first_name: Frauke full_name: Nees, Frauke last_name: Nees - first_name: Maja full_name: Neidhart, Maja last_name: Neidhart - first_name: Argyris full_name: Stringaris, Argyris last_name: Stringaris - first_name: Emanuel full_name: Schwarz, Emanuel last_name: Schwarz - first_name: Nathalie full_name: Holz, Nathalie last_name: Holz - first_name: Heike full_name: Tost, Heike last_name: Tost - first_name: Andreas full_name: Meyer-Lindenberg, Andreas last_name: Meyer-Lindenberg - first_name: Nina full_name: Christmann, Nina last_name: Christmann - first_name: Karina full_name: Jansone, Karina last_name: Jansone - first_name: Tobias full_name: Banaschewski, Tobias last_name: Banaschewski - first_name: Jamie full_name: Banks, Jamie last_name: Banks - first_name: Kerstin full_name: Schepanski, Kerstin last_name: Schepanski - first_name: Tatjana full_name: Schütz, Tatjana last_name: Schütz - first_name: Ulrike Helene full_name: Taron, Ulrike Helene last_name: Taron - first_name: Roland full_name: Eils, Roland last_name: Eils - first_name: Jean Charles full_name: Roy, Jean Charles last_name: Roy - first_name: Tristram A. full_name: Lett, Tristram A. last_name: Lett - first_name: Hedi full_name: Kebir, Hedi last_name: Kebir - first_name: Elli full_name: Polemiti, Elli last_name: Polemiti - first_name: Esther full_name: Hitchen, Esther last_name: Hitchen - first_name: Marcel full_name: Jentsch, Marcel last_name: Jentsch - first_name: Emin full_name: Serin, Emin last_name: Serin - first_name: Antoine full_name: Bernas, Antoine last_name: Bernas - first_name: Nilakshi full_name: Vaidya, Nilakshi last_name: Vaidya - first_name: Sven full_name: Twardziok, Sven last_name: Twardziok - first_name: Markus full_name: Ralser, Markus last_name: Ralser - first_name: Andreas full_name: Heinz, Andreas last_name: Heinz - first_name: Henrik full_name: Walter, Henrik last_name: Walter citation: 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 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. 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. 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. 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). date_created: 2025-08-10T22:01:30Z date_published: 2024-10-01T00:00:00Z date_updated: 2025-08-11T06:53:55Z day: '01' department: - _id: GaNo doi: 10.1038/s44220-024-00320-3 intvolume: ' 2' issue: '10' language: - iso: eng month: '10' oa_version: None publication: Nature Mental Health publication_identifier: eissn: - 2731-6076 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Rethinking ethics in interdisciplinary and big data-driven neuroscience projects type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2 year: '2024' ... --- OA_type: closed access _id: '20527' abstract: - lang: eng text: "Arising from C. Yang et al. Nature Chemistry https://doi.org/10.1038/s41557-023-01212-2 (2023)\r\n\r\nIn this work Yang et al.1 claim that an enantioselective Michael addition reaction with a barrier of 16 kcal mol−1 occurs at the single-molecule level in frozen solvent by measuring fluctuations in current flowing across graphene-based molecular devices. The article, however, contains major scientific errors that undermine their conclusions. We highlight issues with the fabrication of the devices, a lack of characterization, discrepancies between theory and experiment, unreliable inelastic electron tunnelling spectra (IETS) and a perceived misinterpretation of noise as evidence of reaction." article_processing_charge: No article_type: letter_note author: - first_name: Latha full_name: Venkataraman, Latha id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf last_name: Venkataraman orcid: 0000-0002-6957-6089 - first_name: Jan full_name: van Ruitenbeek, Jan last_name: van Ruitenbeek citation: ama: Venkataraman L, van Ruitenbeek J. Questioning claims of monitoring the Michael addition reaction at the single-molecule level. Nature Chemistry. 2024;16(11):1767-1769. doi:10.1038/s41557-024-01631-9 apa: Venkataraman, L., & van Ruitenbeek, J. (2024). Questioning claims of monitoring the Michael addition reaction at the single-molecule level. Nature Chemistry. Springer Nature. https://doi.org/10.1038/s41557-024-01631-9 chicago: Venkataraman, Latha, and Jan van Ruitenbeek. “Questioning Claims of Monitoring the Michael Addition Reaction at the Single-Molecule Level.” Nature Chemistry. Springer Nature, 2024. https://doi.org/10.1038/s41557-024-01631-9. ieee: L. Venkataraman and J. van Ruitenbeek, “Questioning claims of monitoring the Michael addition reaction at the single-molecule level,” Nature Chemistry, vol. 16, no. 11. Springer Nature, pp. 1767–1769, 2024. ista: Venkataraman L, van Ruitenbeek J. 2024. Questioning claims of monitoring the Michael addition reaction at the single-molecule level. Nature Chemistry. 16(11), 1767–1769. mla: Venkataraman, Latha, and Jan van Ruitenbeek. “Questioning Claims of Monitoring the Michael Addition Reaction at the Single-Molecule Level.” Nature Chemistry, vol. 16, no. 11, Springer Nature, 2024, pp. 1767–69, doi:10.1038/s41557-024-01631-9. short: L. Venkataraman, J. van Ruitenbeek, Nature Chemistry 16 (2024) 1767–1769. date_created: 2025-10-23T12:16:57Z date_published: 2024-11-01T00:00:00Z date_updated: 2025-10-23T12:58:52Z day: '01' doi: 10.1038/s41557-024-01631-9 extern: '1' external_id: pmid: - '39313629' intvolume: ' 16' issue: '11' language: - iso: eng month: '11' oa_version: None page: 1767-1769 pmid: 1 publication: Nature Chemistry publication_identifier: eissn: - 1755-4349 issn: - 1755-4330 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Questioning claims of monitoring the Michael addition reaction at the single-molecule level type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 16 year: '2024' ... --- OA_type: closed access _id: '20529' abstract: - lang: eng text: Single molecules bridging two metallic electrodes can emit light through electroluminescence when subjected to a bias voltage. Typically, light emission in such devices results from transitions between molecular states, although in the presence of light-matter coupling, the emission can result from a transition between hybrid light-matter states. Here, we create single metal-molecule-metal junctions and simultaneously collect conductance and electroluminescence data using a scanning tunneling microscope (STM) equipped with a custom spectrometer. Through experimental analysis and electronic structure calculations, we provide evidence for a molecule-electrode interfacial exciton coupled to a junction cavity plasmon. Importantly, we find that close to resonant transport conditions, the molecular junction functions as a single emitter that is strongly coupled to the junction cavity mode, leading to characteristic Rabi splitting of the emission spectrum and providing the first example of an electroluminescence-driven single-molecule system in the regime of strong light-matter coupling. article_processing_charge: No article_type: original author: - first_name: Angela L. full_name: Paoletta, Angela L. last_name: Paoletta - first_name: Norah M. full_name: Hoffmann, Norah M. last_name: Hoffmann - first_name: Daniel W. full_name: Cheng, Daniel W. last_name: Cheng - first_name: Emma full_name: York, Emma last_name: York - first_name: Ding full_name: Xu, Ding last_name: Xu - first_name: Boyuan full_name: Zhang, Boyuan last_name: Zhang - first_name: Milan full_name: Delor, Milan last_name: Delor - first_name: Timothy C. full_name: Berkelbach, Timothy C. last_name: Berkelbach - first_name: Latha full_name: Venkataraman, Latha id: 9ebb78a5-cc0d-11ee-8322-fae086a32caf last_name: Venkataraman orcid: 0000-0002-6957-6089 citation: ama: Paoletta AL, Hoffmann NM, Cheng DW, et al. Plasmon-exciton strong coupling in single-molecule junction electroluminescence. Journal of the American Chemical Society. 2024;146(50):34394-34400. doi:10.1021/jacs.4c09782 apa: Paoletta, A. L., Hoffmann, N. M., Cheng, D. W., York, E., Xu, D., Zhang, B., … Venkataraman, L. (2024). Plasmon-exciton strong coupling in single-molecule junction electroluminescence. Journal of the American Chemical Society. American Chemical Society. https://doi.org/10.1021/jacs.4c09782 chicago: Paoletta, Angela L., Norah M. Hoffmann, Daniel W. Cheng, Emma York, Ding Xu, Boyuan Zhang, Milan Delor, Timothy C. Berkelbach, and Latha Venkataraman. “Plasmon-Exciton Strong Coupling in Single-Molecule Junction Electroluminescence.” Journal of the American Chemical Society. American Chemical Society, 2024. https://doi.org/10.1021/jacs.4c09782. ieee: A. L. Paoletta et al., “Plasmon-exciton strong coupling in single-molecule junction electroluminescence,” Journal of the American Chemical Society, vol. 146, no. 50. American Chemical Society, pp. 34394–34400, 2024. ista: Paoletta AL, Hoffmann NM, Cheng DW, York E, Xu D, Zhang B, Delor M, Berkelbach TC, Venkataraman L. 2024. Plasmon-exciton strong coupling in single-molecule junction electroluminescence. Journal of the American Chemical Society. 146(50), 34394–34400. mla: Paoletta, Angela L., et al. “Plasmon-Exciton Strong Coupling in Single-Molecule Junction Electroluminescence.” Journal of the American Chemical Society, vol. 146, no. 50, American Chemical Society, 2024, pp. 34394–400, doi:10.1021/jacs.4c09782. short: A.L. Paoletta, N.M. Hoffmann, D.W. Cheng, E. York, D. Xu, B. Zhang, M. Delor, T.C. Berkelbach, L. Venkataraman, Journal of the American Chemical Society 146 (2024) 34394–34400. date_created: 2025-10-23T12:20:19Z date_published: 2024-12-04T00:00:00Z date_updated: 2025-10-23T13:03:41Z day: '04' doi: 10.1021/jacs.4c09782 extern: '1' external_id: pmid: - '39630979' intvolume: ' 146' issue: '50' language: - iso: eng month: '12' oa_version: None page: 34394-34400 pmid: 1 publication: Journal of the American Chemical Society publication_identifier: eissn: - 1520-5126 issn: - 0002-7863 publication_status: published publisher: American Chemical Society quality_controlled: '1' scopus_import: '1' status: public title: Plasmon-exciton strong coupling in single-molecule junction electroluminescence type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 146 year: '2024' ... --- OA_type: closed access _id: '20615' abstract: - lang: eng text: "Spin/Pin-structures on vector bundles have long featured prominently in differential geometry, in particular providing part of the foundation for the original proof of the renowned Atiyah–Singer Index Theory. More recently, they have underpinned the symplectic topology foundations of the so-called real sector of the mirror symmetry of string theory.\r\n\r\nThis semi-expository three-part monograph provides an accessible introduction to Spin- and Pin-structures in general, demonstrates their role in the orientability considerations in symplectic topology, and presents their applications in enumerative geometry.\r\n\r\nPart I contains a systematic treatment of Spin/Pin-structures from different topological perspectives and may be suitable for an advanced undergraduate reading seminar. This leads to Part II, which systematically studies orientability problems for the determinants of real Cauchy–Riemann operators on vector bundles. Part III introduces enumerative geometry of curves in complex projective varieties and in symplectic manifolds, demonstrating some applications of the first two parts in the process. Two appendices review the Čech cohomology perspective on fiber bundles and Lie group covering spaces." article_processing_charge: No author: - first_name: Xujia full_name: Chen, Xujia id: 968ad14a-fd86-11ee-a420-ea29715511a3 last_name: Chen - first_name: Aleksey full_name: Zinger, Aleksey last_name: Zinger citation: ama: Chen X, Zinger A. Spin/Pin-Structures and Real Enumerative Geometry. World Scientific Publishing; 2024. doi:10.1142/13476 apa: Chen, X., & Zinger, A. (2024). Spin/Pin-structures and real enumerative geometry. World Scientific Publishing. https://doi.org/10.1142/13476 chicago: Chen, Xujia, and Aleksey Zinger. Spin/Pin-Structures and Real Enumerative Geometry. World Scientific Publishing, 2024. https://doi.org/10.1142/13476. ieee: X. Chen and A. Zinger, Spin/Pin-structures and real enumerative geometry. World Scientific Publishing, 2024. ista: Chen X, Zinger A. 2024. Spin/Pin-structures and real enumerative geometry, World Scientific Publishing,p. mla: Chen, Xujia, and Aleksey Zinger. Spin/Pin-Structures and Real Enumerative Geometry. World Scientific Publishing, 2024, doi:10.1142/13476. short: X. Chen, A. Zinger, Spin/Pin-Structures and Real Enumerative Geometry, World Scientific Publishing, 2024. date_created: 2025-11-10T08:40:10Z date_published: 2024-01-01T00:00:00Z date_updated: 2025-11-10T15:28:49Z day: '01' doi: 10.1142/13476 extern: '1' language: - iso: eng month: '01' oa_version: None publication_identifier: eisbn: - '9789811278556' isbn: - '9789811278532' publication_status: published publisher: World Scientific Publishing quality_controlled: '1' scopus_import: '1' status: public title: Spin/Pin-structures and real enumerative geometry type: book user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_place: repository OA_type: green _id: '20756' abstract: - lang: eng text: Biocatalysis has the potential to address the need for more sustainable organic synthesis routes. Protein engineering can tune enzymes to perform in cascade reactions and for efficient synthesis of enantiomerically enriched compounds, using both natural and new-to-nature reaction pathways. This review highlights recent achievements in biocatalysis, especially the development of novel enzymatic syntheses to access versatile small molecule intermediates and complex biomolecules. Biocatalytic strategies for the degradation of persistent pollutants and approaches for biomass valorization are also discussed. The transition of chemical synthesis to a greener future will be accelerated by implementing enzymes and engineering them for high performance and new activities. article_number: '102536' article_processing_charge: No article_type: original author: - first_name: Julia full_name: Reisenbauer, Julia id: 51d862e9-36ee-11f0-86d3-8534c85a5496 last_name: Reisenbauer - first_name: Kathleen M. full_name: Sicinski, Kathleen M. last_name: Sicinski - first_name: Frances H. full_name: Arnold, Frances H. last_name: Arnold citation: ama: 'Reisenbauer J, Sicinski KM, Arnold FH. Catalyzing the future: Recent advances in chemical synthesis using enzymes. Current Opinion in Chemical Biology. 2024;83. doi:10.1016/j.cbpa.2024.102536' apa: 'Reisenbauer, J., Sicinski, K. M., & Arnold, F. H. (2024). Catalyzing the future: Recent advances in chemical synthesis using enzymes. Current Opinion in Chemical Biology. Elsevier. https://doi.org/10.1016/j.cbpa.2024.102536' chicago: 'Reisenbauer, Julia, Kathleen M. Sicinski, and Frances H. Arnold. “Catalyzing the Future: Recent Advances in Chemical Synthesis Using Enzymes.” Current Opinion in Chemical Biology. Elsevier, 2024. https://doi.org/10.1016/j.cbpa.2024.102536.' ieee: 'J. Reisenbauer, K. M. Sicinski, and F. H. Arnold, “Catalyzing the future: Recent advances in chemical synthesis using enzymes,” Current Opinion in Chemical Biology, vol. 83. Elsevier, 2024.' ista: 'Reisenbauer J, Sicinski KM, Arnold FH. 2024. Catalyzing the future: Recent advances in chemical synthesis using enzymes. Current Opinion in Chemical Biology. 83, 102536.' mla: 'Reisenbauer, Julia, et al. “Catalyzing the Future: Recent Advances in Chemical Synthesis Using Enzymes.” Current Opinion in Chemical Biology, vol. 83, 102536, Elsevier, 2024, doi:10.1016/j.cbpa.2024.102536.' short: J. Reisenbauer, K.M. Sicinski, F.H. Arnold, Current Opinion in Chemical Biology 83 (2024). date_created: 2025-12-09T14:22:40Z date_published: 2024-12-01T00:00:00Z date_updated: 2025-12-16T13:03:48Z day: '01' doi: 10.1016/j.cbpa.2024.102536 extern: '1' external_id: pmid: - '39369557' intvolume: ' 83' language: - iso: eng main_file_link: - open_access: '1' url: https://europepmc.org/article/med/39369557#free-full-text month: '12' oa: 1 oa_version: Submitted Version pmid: 1 publication: Current Opinion in Chemical Biology publication_identifier: eissn: - 1879-0402 issn: - 1367-5931 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: 'Catalyzing the future: Recent advances in chemical synthesis using enzymes' type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 83 year: '2024' ...