--- OA_place: publisher OA_type: diamond _id: '19408' abstract: - lang: eng text: 'Continual learning is a subfield of machine learning, which aims to allow machine learning models to continuously learn on new data, by accumulating knowledge without forgetting what was learned in the past. In this work, we take a step back, and ask: "Why should one care about continual learning in the first place?". We set the stage by examining recent continual learning papers published at four major machine learning conferences, and show that memory-constrained settings dominate the field. Then, we discuss five open problems in machine learning, and even though they might seem unrelated to continual learning at first sight, we show that continual learning will inevitably be part of their solution. These problems are model editing, personalization and specialization, on-device learning, faster (re-)training and reinforcement learning. Finally, by comparing the desiderata from these unsolved problems and the current assumptions in continual learning, we highlight and discuss four future directions for continual learning research. We hope that this work offers an interesting perspective on the future of continual learning, while displaying its potential value and the paths we have to pursue in order to make it successful. This work is the result of the many discussions the authors had at the Dagstuhl seminar on Deep Continual Learning, in March 2023.' alternative_title: - TMLR article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Eli full_name: Verwimp, Eli last_name: Verwimp - first_name: Rahaf full_name: Aljundi, Rahaf last_name: Aljundi - first_name: Shai full_name: Ben-David, Shai last_name: Ben-David - first_name: Matthias full_name: Bethge, Matthias last_name: Bethge - first_name: Andrea full_name: Cossu, Andrea last_name: Cossu - first_name: Alexander full_name: Gepperth, Alexander last_name: Gepperth - first_name: Tyler L. full_name: Hayes, Tyler L. last_name: Hayes - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier - first_name: Christopher full_name: Kanan, Christopher last_name: Kanan - first_name: Dhireesha full_name: Kudithipudi, Dhireesha last_name: Kudithipudi - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 - first_name: Martin full_name: Mundt, Martin last_name: Mundt - first_name: Razvan full_name: Pascanu, Razvan last_name: Pascanu - first_name: Adrian full_name: Popescu, Adrian last_name: Popescu - first_name: Andreas S. full_name: Tolias, Andreas S. last_name: Tolias - first_name: Joost full_name: Van De Weijer, Joost last_name: Van De Weijer - first_name: Bing full_name: Liu, Bing last_name: Liu - first_name: Vincenzo full_name: Lomonaco, Vincenzo last_name: Lomonaco - first_name: Tinne full_name: Tuytelaars, Tinne last_name: Tuytelaars - first_name: Gido M. full_name: Van De Ven, Gido M. last_name: Van De Ven citation: ama: 'Verwimp E, Aljundi R, Ben-David S, et al. Continual learning: Applications and the road forward. Transactions on Machine Learning Research. 2024;2024.' apa: 'Verwimp, E., Aljundi, R., Ben-David, S., Bethge, M., Cossu, A., Gepperth, A., … Van De Ven, G. M. (2024). Continual learning: Applications and the road forward. Transactions on Machine Learning Research. Transactions on Machine Learning Research.' chicago: 'Verwimp, Eli, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, et al. “Continual Learning: Applications and the Road Forward.” Transactions on Machine Learning Research. Transactions on Machine Learning Research, 2024.' ieee: 'E. Verwimp et al., “Continual learning: Applications and the road forward,” Transactions on Machine Learning Research, vol. 2024. Transactions on Machine Learning Research, 2024.' ista: 'Verwimp E, Aljundi R, Ben-David S, Bethge M, Cossu A, Gepperth A, Hayes TL, Hüllermeier E, Kanan C, Kudithipudi D, Lampert C, Mundt M, Pascanu R, Popescu A, Tolias AS, Van De Weijer J, Liu B, Lomonaco V, Tuytelaars T, Van De Ven GM. 2024. Continual learning: Applications and the road forward. Transactions on Machine Learning Research. 2024.' mla: 'Verwimp, Eli, et al. “Continual Learning: Applications and the Road Forward.” Transactions on Machine Learning Research, vol. 2024, Transactions on Machine Learning Research, 2024.' short: E. Verwimp, R. Aljundi, S. Ben-David, M. Bethge, A. Cossu, A. Gepperth, T.L. Hayes, E. Hüllermeier, C. Kanan, D. Kudithipudi, C. Lampert, M. Mundt, R. Pascanu, A. Popescu, A.S. Tolias, J. Van De Weijer, B. Liu, V. Lomonaco, T. Tuytelaars, G.M. Van De Ven, Transactions on Machine Learning Research 2024 (2024). date_created: 2025-03-16T23:01:25Z date_published: 2024-04-12T00:00:00Z date_updated: 2025-03-20T09:21:02Z day: '12' ddc: - '000' department: - _id: ChLa external_id: arxiv: - '2311.11908' file: - access_level: open_access checksum: 0714e12f7423cd098976ed9974561155 content_type: application/pdf creator: dernst date_created: 2025-03-20T09:02:18Z date_updated: 2025-03-20T09:02:18Z file_id: '19426' file_name: 2024_TMLR_Verwimp.pdf file_size: 1367966 relation: main_file success: 1 file_date_updated: 2025-03-20T09:02:18Z has_accepted_license: '1' intvolume: ' 2024' language: - iso: eng month: '04' oa: 1 oa_version: Published Version publication: Transactions on Machine Learning Research publication_identifier: eissn: - 2835-8856 publication_status: published publisher: Transactions on Machine Learning Research quality_controlled: '1' scopus_import: '1' status: public title: 'Continual learning: Applications and the road forward' 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: 2024 year: '2024' ... --- OA_type: closed access _id: '19446' abstract: - lang: eng text: This Comment explores new approaches to enrich large-scale population data, including incorporating macro-environmental and digital health measures. acknowledgement: Funded by the European Union. Complementary funding was received by the 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 and UKRI cannot be held responsible for them. This work received also support from 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 (CoviDrug)) and the National Natural Science Foundation of China grant 82150710554. article_processing_charge: No article_type: letter_note author: - first_name: Frauke full_name: Nees, Frauke last_name: Nees - first_name: Paul full_name: Renner, Paul last_name: Renner - first_name: Nathalie E. full_name: Holz, Nathalie E. last_name: Holz - first_name: Elli full_name: Polemiti, Elli last_name: Polemiti - first_name: Sebastian full_name: Siehl, Sebastian last_name: Siehl - first_name: Sören full_name: Hese, Sören last_name: Hese - first_name: Kerstin full_name: Schepanski, Kerstin last_name: Schepanski - first_name: Gunter full_name: Schumann, Gunter last_name: Schumann - first_name: Henrik full_name: Walter, Henrik last_name: Walter - first_name: Andreas full_name: Heinz, Andreas last_name: Heinz - first_name: Markus full_name: Ralser, Markus last_name: Ralser - first_name: Sven full_name: Twardziok, Sven last_name: Twardziok - first_name: Nilakshi full_name: Vaidya, Nilakshi last_name: Vaidya - first_name: Antoine full_name: Bernas, Antoine last_name: Bernas - first_name: Emin full_name: Serin, Emin last_name: Serin - first_name: Marcel full_name: Jentsch, Marcel last_name: Jentsch - first_name: Esther full_name: Hitchen, Esther last_name: Hitchen - first_name: Hedi full_name: Kebir, Hedi last_name: Kebir - first_name: Tristram A. full_name: Lett, Tristram A. last_name: Lett - first_name: Jean Charles full_name: Roy, Jean Charles last_name: Roy - first_name: Roland full_name: Eils, Roland last_name: Eils - first_name: Ulrike Helene full_name: Taron, Ulrike Helene last_name: Taron - first_name: Tatjana full_name: Schütz, Tatjana last_name: Schütz - first_name: Jamie full_name: Banks, Jamie last_name: Banks - first_name: Tobias full_name: Banaschewski, Tobias last_name: Banaschewski - first_name: Karina full_name: Jansone, Karina last_name: Jansone - first_name: Nina full_name: Christmann, Nina last_name: Christmann - first_name: Andreas full_name: Meyer-Lindenberg, Andreas last_name: Meyer-Lindenberg - first_name: Heike full_name: Tost, Heike last_name: Tost - first_name: Nathalie full_name: Holz, Nathalie last_name: Holz - first_name: Emanuel full_name: Schwarz, Emanuel last_name: Schwarz - first_name: Argyris full_name: Stringaris, Argyris last_name: Stringaris - first_name: Maja full_name: Neidhart, Maja last_name: Neidhart - first_name: Beke full_name: Seefried, Beke last_name: Seefried - first_name: Rieke full_name: Aden, Rieke last_name: Aden - first_name: Ole A. full_name: Andreassen, Ole A. last_name: Andreassen - first_name: Lars T. full_name: Westlye, Lars T. last_name: Westlye - first_name: Dennis full_name: Van Der Meer, Dennis last_name: Van Der Meer - first_name: Sara full_name: Fernandez, Sara last_name: Fernandez - first_name: Rikka full_name: Kjelkenes, Rikka last_name: Kjelkenes - first_name: Helga full_name: Ask, Helga last_name: Ask - first_name: Michael full_name: Rapp, Michael last_name: Rapp - first_name: Mira full_name: Tschorn, Mira last_name: Tschorn - first_name: Sarah Jane full_name: Böttger, Sarah Jane last_name: Böttger - first_name: Andre full_name: Marquand, Andre last_name: Marquand - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Lena full_name: Marr, Lena id: 4406F586-F248-11E8-B48F-1D18A9856A87 last_name: Marr - first_name: Mel full_name: Slater, Mel last_name: Slater - first_name: Guillem Feixas full_name: Viapiana, Guillem Feixas last_name: Viapiana - first_name: Francisco Eiroa full_name: Orosa, Francisco Eiroa last_name: Orosa - first_name: Jaime full_name: Gallego, Jaime last_name: Gallego - first_name: Alvaro full_name: Pastor, Alvaro last_name: Pastor - first_name: Andreas J. full_name: Forstner, Andreas J. last_name: Forstner - first_name: Per full_name: Hoffmann, Per last_name: Hoffmann - first_name: Markus M. full_name: Nöthen, Markus M. last_name: Nöthen - first_name: Isabelle full_name: Claus, Isabelle last_name: Claus - first_name: Abigail full_name: Miller, Abigail last_name: Miller - first_name: Carina M. full_name: Mathey, Carina M. last_name: Mathey - first_name: Stefanie full_name: Heilmann-Heimbach, Stefanie last_name: Heilmann-Heimbach - first_name: Peter full_name: Sommer, Peter last_name: Sommer - first_name: Myrto full_name: Patraskaki, Myrto last_name: Patraskaki - first_name: Johannes full_name: Wilbertz, Johannes last_name: Wilbertz - first_name: Karen full_name: Schmitt, Karen last_name: Schmitt - first_name: Viktor full_name: Jirsa, Viktor last_name: Jirsa - first_name: Spase full_name: Petkoski, Spase last_name: Petkoski - first_name: Séverine full_name: Pitel, Séverine last_name: Pitel - first_name: Lisa full_name: Otten, Lisa last_name: Otten - first_name: Anastasios Polykarpos full_name: Athanasiadis, Anastasios Polykarpos last_name: Athanasiadis - first_name: Charlie full_name: Pearmund, Charlie last_name: Pearmund - first_name: Bernhard full_name: Spanlang, Bernhard last_name: Spanlang - first_name: Elena full_name: Alvarez, Elena last_name: Alvarez - first_name: Mavi full_name: Sanchez, Mavi last_name: Sanchez - first_name: Arantxa full_name: Giner, Arantxa last_name: Giner - first_name: Tianye full_name: Jia, Tianye last_name: Jia - first_name: Yanting full_name: Gong, Yanting last_name: Gong - first_name: Yunman full_name: Xia, Yunman last_name: Xia - first_name: Xiao full_name: Chang, Xiao last_name: Chang - first_name: Vince full_name: Calhoun, Vince last_name: Calhoun - first_name: Jingyu full_name: Liu, Jingyu last_name: Liu - first_name: Ameli full_name: Schwalber, Ameli last_name: Schwalber - first_name: Paul full_name: Thompson, Paul last_name: Thompson - first_name: Nicholas full_name: Clinton, Nicholas last_name: Clinton - first_name: Sylvane full_name: Desrivières, Sylvane last_name: Desrivières - first_name: Allan H. full_name: Young, Allan H. last_name: Young - first_name: Bernd full_name: Stahl, Bernd last_name: Stahl - first_name: George full_name: Ogoh, George last_name: Ogoh citation: ama: Nees F, Renner P, Holz NE, et al. Large-scale population data enrichment in mental health research. Nature Mental Health. 2024;2(10):1124-1127. doi:10.1038/s44220-024-00316-z apa: Nees, F., Renner, P., Holz, N. E., Polemiti, E., Siehl, S., Hese, S., … Ogoh, G. (2024). Large-scale population data enrichment in mental health research. Nature Mental Health. Springer Nature. https://doi.org/10.1038/s44220-024-00316-z chicago: Nees, Frauke, Paul Renner, Nathalie E. Holz, Elli Polemiti, Sebastian Siehl, Sören Hese, Kerstin Schepanski, et al. “Large-Scale Population Data Enrichment in Mental Health Research.” Nature Mental Health. Springer Nature, 2024. https://doi.org/10.1038/s44220-024-00316-z. ieee: F. Nees et al., “Large-scale population data enrichment in mental health research,” Nature Mental Health, vol. 2, no. 10. Springer Nature, pp. 1124–1127, 2024. ista: Nees F, Renner P, Holz NE, Polemiti E, Siehl S, Hese S, Schepanski K, Schumann G, Walter H, Heinz A, Ralser M, Twardziok S, Vaidya N, Bernas A, Serin E, Jentsch M, Hitchen E, Kebir H, Lett TA, Roy JC, Eils R, Taron UH, Schütz T, Banks J, Banaschewski T, Jansone K, Christmann N, Meyer-Lindenberg A, Tost H, Holz N, Schwarz E, Stringaris A, Neidhart M, Seefried B, Aden R, Andreassen OA, Westlye LT, Van Der Meer D, Fernandez S, Kjelkenes R, Ask H, Rapp M, Tschorn M, Böttger SJ, Marquand A, Novarino G, Marr L, Slater M, Viapiana GF, Orosa FE, Gallego J, Pastor A, Forstner AJ, Hoffmann P, Nöthen MM, Claus I, Miller A, Mathey CM, Heilmann-Heimbach S, Sommer P, Patraskaki M, Wilbertz J, Schmitt K, Jirsa V, Petkoski S, Pitel S, Otten L, Athanasiadis AP, Pearmund C, Spanlang B, Alvarez E, Sanchez M, Giner A, Jia T, Gong Y, Xia Y, Chang X, Calhoun V, Liu J, Schwalber A, Thompson P, Clinton N, Desrivières S, Young AH, Stahl B, Ogoh G. 2024. Large-scale population data enrichment in mental health research. Nature Mental Health. 2(10), 1124–1127. mla: Nees, Frauke, et al. “Large-Scale Population Data Enrichment in Mental Health Research.” Nature Mental Health, vol. 2, no. 10, Springer Nature, 2024, pp. 1124–27, doi:10.1038/s44220-024-00316-z. short: F. Nees, P. Renner, N.E. Holz, E. Polemiti, S. Siehl, S. Hese, K. Schepanski, G. Schumann, H. Walter, A. Heinz, M. Ralser, S. Twardziok, N. Vaidya, A. Bernas, E. Serin, M. Jentsch, E. Hitchen, H. Kebir, T.A. Lett, J.C. Roy, R. Eils, U.H. Taron, T. Schütz, J. Banks, T. Banaschewski, K. Jansone, N. Christmann, A. Meyer-Lindenberg, H. Tost, N. Holz, E. Schwarz, A. Stringaris, M. Neidhart, B. Seefried, R. Aden, O.A. Andreassen, L.T. Westlye, D. Van Der Meer, S. Fernandez, R. Kjelkenes, H. Ask, M. Rapp, M. Tschorn, S.J. Böttger, A. Marquand, G. Novarino, L. Marr, M. Slater, G.F. Viapiana, F.E. Orosa, J. Gallego, A. Pastor, A.J. Forstner, P. Hoffmann, M.M. Nöthen, I. Claus, A. Miller, C.M. Mathey, S. Heilmann-Heimbach, P. Sommer, M. Patraskaki, J. Wilbertz, K. Schmitt, V. Jirsa, S. Petkoski, S. Pitel, L. Otten, A.P. Athanasiadis, C. Pearmund, B. Spanlang, E. Alvarez, M. Sanchez, A. Giner, T. Jia, Y. Gong, Y. Xia, X. Chang, V. Calhoun, J. Liu, A. Schwalber, P. Thompson, N. Clinton, S. Desrivières, A.H. Young, B. Stahl, G. Ogoh, Nature Mental Health 2 (2024) 1124–1127. date_created: 2025-03-23T23:01:28Z date_published: 2024-10-01T00:00:00Z date_updated: 2025-03-25T08:28:39Z day: '01' department: - _id: GaNo doi: 10.1038/s44220-024-00316-z fulldoi: https://doi.org/10.1038/s44220-024-00316-z intvolume: ' 2' issue: '10' language: - iso: eng month: '10' oa_version: None page: 1124-1127 publication: Nature Mental Health publication_identifier: eissn: - 2731-6076 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Large-scale population data enrichment in mental health research type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2 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 fulldoi: https://doi.org/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 fulldoi: https://doi.org/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: 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 fulldoi: https://doi.org/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 fulldoi: https://doi.org/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 fulldoi: https://doi.org/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' ... --- _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 fulldoi: https://doi.org/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 fulldoi: https://doi.org/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 fulldoi: https://doi.org/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' ... --- _id: '17235' abstract: - lang: eng text: We demonstrate ion irradiation by argon or gallium as a wafer-scale post-processing method to increase disorder in superconducting thin films. We study several widely used superconductors, both single-elements and compounds. We show that ion irradiation increases normal-state resistivity in all our films, which is expected to enable tuning their superconducting properties, for example, toward a higher kinetic inductance. We observe an increase in superconducting transition temperature for Al and MoSi and a decrease for Nb, NbN, and TiN. In MoSi, ion irradiation also improves the mixing of the two materials. We demonstrate the fabrication of an amorphous and homogeneous film of MoSi with uniform thickness, which is promising, for example, for superconducting nanowire single-photon detectors. acknowledged_ssus: - _id: EM-Fac acknowledgement: We thank J. A. Sauls for useful discussions. For funding of our research project, we acknowledge the European Union’s Horizon 2020 Research and Innovation Program under Grant Agreement Nos. 862660/Quantum e-leaps, 899558/aCryComm, 766853/EFINED, and ECSEL programme 101007322/MatQu. This project has also received funding from Business Finland through Quantum Technologies Industrial (QuTI) Project No. 128291 and from Research Council of Finland through Grant Nos. 310909, 350220 and Finnish Quantum Flagship project 359284. This work was performed as part of the Research Council of Finland Centres of Excellence program (Project Nos. 336817, 336819, 352934, and 352935). We also acknowledge funding from an internal strategic innovation project of VTT related to the development of quantum computing technologies. This research was supported by the Scientific Service Units of IST Austria through resources provided by Electron Microscopy Facility. J. Senior acknowledges funding from the European Union’s Horizon 2020 Research and Innovation Program under the Marie Skłodowska-Curie Grant Agreement No. 754411. A. Ronzani acknowledges funding from Research Council of Finland (Research Fellowship Project No. 356542). article_number: '071101' article_processing_charge: Yes article_type: original author: - first_name: Katja full_name: Kohopää, Katja last_name: Kohopää - first_name: Alberto full_name: Ronzani, Alberto last_name: Ronzani - first_name: Robab Najafi full_name: Jabdaraghi, Robab Najafi last_name: Jabdaraghi - first_name: Arijit full_name: Bera, Arijit last_name: Bera - first_name: Mário full_name: Ribeiro, Mário last_name: Ribeiro - first_name: Dibyendu full_name: Hazra, Dibyendu last_name: Hazra - first_name: Jorden L full_name: Senior, Jorden L id: 5479D234-2D30-11EA-89CC-40953DDC885E last_name: Senior orcid: 0000-0002-0672-9295 - first_name: Mika full_name: Prunnila, Mika last_name: Prunnila - first_name: Joonas full_name: Govenius, Joonas last_name: Govenius - first_name: Janne S. full_name: Lehtinen, Janne S. last_name: Lehtinen - first_name: Antti full_name: Kemppinen, Antti last_name: Kemppinen citation: ama: Kohopää K, Ronzani A, Jabdaraghi RN, et al. Effect of ion irradiation on superconducting thin films. APL Materials. 2024;12(7). doi:10.1063/5.0202851 apa: Kohopää, K., Ronzani, A., Jabdaraghi, R. N., Bera, A., Ribeiro, M., Hazra, D., … Kemppinen, A. (2024). Effect of ion irradiation on superconducting thin films. APL Materials. AIP Publishing. https://doi.org/10.1063/5.0202851 chicago: Kohopää, Katja, Alberto Ronzani, Robab Najafi Jabdaraghi, Arijit Bera, Mário Ribeiro, Dibyendu Hazra, Jorden L Senior, et al. “Effect of Ion Irradiation on Superconducting Thin Films.” APL Materials. AIP Publishing, 2024. https://doi.org/10.1063/5.0202851. ieee: K. Kohopää et al., “Effect of ion irradiation on superconducting thin films,” APL Materials, vol. 12, no. 7. AIP Publishing, 2024. ista: Kohopää K, Ronzani A, Jabdaraghi RN, Bera A, Ribeiro M, Hazra D, Senior JL, Prunnila M, Govenius J, Lehtinen JS, Kemppinen A. 2024. Effect of ion irradiation on superconducting thin films. APL Materials. 12(7), 071101. mla: Kohopää, Katja, et al. “Effect of Ion Irradiation on Superconducting Thin Films.” APL Materials, vol. 12, no. 7, 071101, AIP Publishing, 2024, doi:10.1063/5.0202851. short: K. Kohopää, A. Ronzani, R.N. Jabdaraghi, A. Bera, M. Ribeiro, D. Hazra, J.L. Senior, M. Prunnila, J. Govenius, J.S. Lehtinen, A. Kemppinen, APL Materials 12 (2024). date_created: 2024-07-14T22:01:11Z date_published: 2024-07-01T00:00:00Z date_updated: 2025-09-08T08:10:58Z day: '01' ddc: - '530' department: - _id: AnHi doi: 10.1063/5.0202851 ec_funded: 1 external_id: isi: - '001260942200003' file: - access_level: open_access checksum: 32a5cdf0ea9c937f806b6039f3219917 content_type: application/pdf creator: dernst date_created: 2024-07-16T06:30:30Z date_updated: 2024-07-16T06:30:30Z file_id: '17244' file_name: 2024_APLMaterial_Kohopaa.pdf file_size: 9408198 relation: main_file success: 1 file_date_updated: 2024-07-16T06:30:30Z fulldoi: https://doi.org/10.1063/5.0202851 has_accepted_license: '1' intvolume: ' 12' isi: 1 issue: '7' language: - iso: eng month: '07' oa: 1 oa_version: Published Version project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: APL Materials publication_identifier: eissn: - 2166-532X publication_status: published publisher: AIP Publishing quality_controlled: '1' scopus_import: '1' status: public title: Effect of ion irradiation on superconducting thin films 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: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 12 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '17291' abstract: - lang: eng text: Bacterial cell walls are gigadalton-large cross-linked polymers with a wide range of motional amplitudes, including rather rigid as well as highly flexible parts. Magic-angle spinning NMR is a powerful method to obtain atomic-level information about intact cell walls. Here we investigate sensitivity and information content of different homonuclear 13Csingle bond13C and heteronuclear 1Hsingle bond15N, 1Hsingle bond13C and 15Nsingle bond13C correlation experiments. We demonstrate that a CPMAS CryoProbe yields ca. 8-fold increased signal-to-noise over a room-temperature probe, or a ca. 3–4-fold larger per-mass sensitivity. The increased sensitivity allowed to obtain high-resolution spectra even on intact bacteria. Moreover, we compare resolution and sensitivity of 1H MAS experiments obtained at 100 kHz vs. 55 kHz. Our study provides useful hints for choosing experiments to extract atomic-level details on cell-wall samples. acknowledgement: "This research was supported by the French Agence Nationale de la Recherche (\r\nANR-16-CE11-0030-12, TransPepNMR). This work used the platforms of the Grenoble Instruct-ERIC center (ISBG; UAR 3518 CNRS-CEA-UGA-EMBL) within the Grenoble Partnership for Structural Biology (PSB), supported by FRISBI, France (ANR-10-INBS-0005-02\r\n) and GRAL, financed within the University Grenoble Alpes graduate school (Ecoles Universitaires de Recherche), CBH-EUR-GS (ANR-17-EURE-0003). Financial support from the IR INFRANALYTICS FR2054 for conducting the research and intramural funding by the Institute of Science and Technology Austria (ISTA) are gratefully acknowledged." article_number: '107708' article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Alicia full_name: Vallet, Alicia last_name: Vallet - first_name: Isabel full_name: Ayala, Isabel last_name: Ayala - first_name: Barbara full_name: Perrone, Barbara last_name: Perrone - first_name: Alia full_name: Hassan, Alia last_name: Hassan - first_name: Jean-Pierre full_name: Simorre, Jean-Pierre last_name: Simorre - first_name: Catherine full_name: Bougault, Catherine last_name: Bougault - first_name: Paul full_name: Schanda, Paul id: 7B541462-FAF6-11E9-A490-E8DFE5697425 last_name: Schanda orcid: 0000-0002-9350-7606 citation: ama: 'Vallet A, Ayala I, Perrone B, et al. MAS NMR experiments of corynebacterial cell walls: Complementary 1H- and CPMAS CryoProbe-enhanced 13C-detected experiments. Journal of Magnetic Resonance. 2024;364. doi:10.1016/j.jmr.2024.107708' apa: 'Vallet, A., Ayala, I., Perrone, B., Hassan, A., Simorre, J.-P., Bougault, C., & Schanda, P. (2024). MAS NMR experiments of corynebacterial cell walls: Complementary 1H- and CPMAS CryoProbe-enhanced 13C-detected experiments. Journal of Magnetic Resonance. Elsevier. https://doi.org/10.1016/j.jmr.2024.107708' chicago: 'Vallet, Alicia, Isabel Ayala, Barbara Perrone, Alia Hassan, Jean-Pierre Simorre, Catherine Bougault, and Paul Schanda. “MAS NMR Experiments of Corynebacterial Cell Walls: Complementary 1H- and CPMAS CryoProbe-Enhanced 13C-Detected Experiments.” Journal of Magnetic Resonance. Elsevier, 2024. https://doi.org/10.1016/j.jmr.2024.107708.' ieee: 'A. Vallet et al., “MAS NMR experiments of corynebacterial cell walls: Complementary 1H- and CPMAS CryoProbe-enhanced 13C-detected experiments,” Journal of Magnetic Resonance, vol. 364. Elsevier, 2024.' ista: 'Vallet A, Ayala I, Perrone B, Hassan A, Simorre J-P, Bougault C, Schanda P. 2024. MAS NMR experiments of corynebacterial cell walls: Complementary 1H- and CPMAS CryoProbe-enhanced 13C-detected experiments. Journal of Magnetic Resonance. 364, 107708.' mla: 'Vallet, Alicia, et al. “MAS NMR Experiments of Corynebacterial Cell Walls: Complementary 1H- and CPMAS CryoProbe-Enhanced 13C-Detected Experiments.” Journal of Magnetic Resonance, vol. 364, 107708, Elsevier, 2024, doi:10.1016/j.jmr.2024.107708.' short: A. Vallet, I. Ayala, B. Perrone, A. Hassan, J.-P. Simorre, C. Bougault, P. Schanda, Journal of Magnetic Resonance 364 (2024). corr_author: '1' date_created: 2024-07-22T07:44:10Z date_published: 2024-07-01T00:00:00Z date_updated: 2025-09-09T12:01:41Z day: '01' ddc: - '570' department: - _id: PaSc doi: 10.1016/j.jmr.2024.107708 external_id: isi: - '001259302800001' pmid: - '38901173' file: - access_level: open_access checksum: 4b59f4f0c287ecbafd808da1212ced38 content_type: application/pdf creator: dernst date_created: 2024-07-23T06:23:51Z date_updated: 2024-07-23T06:23:51Z file_id: '17316' file_name: 2024_JourMagneticResonance_Vallet.pdf file_size: 2236665 relation: main_file success: 1 file_date_updated: 2024-07-23T06:23:51Z fulldoi: https://doi.org/10.1016/j.jmr.2024.107708 has_accepted_license: '1' intvolume: ' 364' isi: 1 language: - iso: eng month: '07' oa: 1 oa_version: Published Version pmid: 1 publication: Journal of Magnetic Resonance publication_identifier: issn: - 1090-7807 publication_status: published publisher: Elsevier quality_controlled: '1' related_material: record: - id: '17042' relation: research_data status: public scopus_import: '1' status: public title: 'MAS NMR experiments of corynebacterial cell walls: Complementary 1H- and CPMAS CryoProbe-enhanced 13C-detected experiments' 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: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 364 year: '2024' ... --- _id: '17344' abstract: - lang: eng text: 'This file contains the Mathematica notebook associated with the paper Effect of assortative mating and sexual selection on polygenic barriers to gene flow. It contains the numerical approximations, analyses, and simulations used in the study. ' acknowledged_ssus: - _id: ScienComp article_processing_charge: No author: - first_name: Parvathy full_name: Surendranadh, Parvathy id: 455235B8-F248-11E8-B48F-1D18A9856A87 last_name: Surendranadh orcid: 0000-0001-6395-386X - first_name: Himani full_name: Sachdeva, Himani last_name: Sachdeva citation: ama: Surendranadh P, Sachdeva H. Mathematica notebook for “Effect of assortative mating and sexual selection on polygenic barriers to gene flow.” 2024. doi:10.15479/AT:ISTA:17344 apa: Surendranadh, P., & Sachdeva, H. (2024). Mathematica notebook for “Effect of assortative mating and sexual selection on polygenic barriers to gene flow.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:17344 chicago: Surendranadh, Parvathy, and Himani Sachdeva. “Mathematica Notebook for ‘Effect of Assortative Mating and Sexual Selection on Polygenic Barriers to Gene Flow.’” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/AT:ISTA:17344. ieee: P. Surendranadh and H. Sachdeva, “Mathematica notebook for ‘Effect of assortative mating and sexual selection on polygenic barriers to gene flow.’” Institute of Science and Technology Austria, 2024. ista: Surendranadh P, Sachdeva H. 2024. Mathematica notebook for ‘Effect of assortative mating and sexual selection on polygenic barriers to gene flow’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:17344. mla: Surendranadh, Parvathy, and Himani Sachdeva. Mathematica Notebook for “Effect of Assortative Mating and Sexual Selection on Polygenic Barriers to Gene Flow.” Institute of Science and Technology Austria, 2024, doi:10.15479/AT:ISTA:17344. short: P. Surendranadh, H. Sachdeva, (2024). date_created: 2024-07-29T14:01:43Z date_published: 2024-07-01T00:00:00Z date_updated: 2025-01-14T13:02:59Z ddc: - '576' department: - _id: GradSch - _id: NiBa doi: 10.15479/AT:ISTA:17344 file: - access_level: open_access checksum: 75bdbc7ad7cc6afe4459bc4a8824a302 content_type: application/octet-stream creator: psurendr date_created: 2024-07-29T13:51:11Z date_updated: 2024-07-29T13:51:11Z file_id: '17345' file_name: Submission.nb file_size: 726132 relation: main_file success: 1 file_date_updated: 2024-07-29T13:51:11Z fulldoi: https://doi.org/10.15479/AT:ISTA:17344 has_accepted_license: '1' month: '07' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria status: public title: Mathematica notebook for 'Effect of assortative mating and sexual selection on polygenic barriers to gene flow' 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 user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_type: closed access _id: '18167' abstract: - lang: eng text: 'Holdase chaperones are essential in the mitochondrial membrane-protein biogenesis as they stabilize preproteins and keep them in an import-competent state as they travel through the aqueous cytosol and intermembrane space. The small TIM chaperones of the mitochondrial intermembrane space function within a fine balance of client promiscuity and high affinity binding, while being also able to release their client proteins without significant energy barrier to the downstream insertases/translocases. The tendency of the preproteins to aggregate and the dynamic nature of the preprotein—chaperone complexes makes the preparation of these complexes challenging. Here we present two optimized methods for complex formation of highly hydrophobic precursor proteins and chaperones: a pull-down approach and an in-vitro translation strategy. In the former, attaching the client protein to an affinity resin keeps the individual client protein copies apart from each other and decreases the client self-aggregation probability, thereby favouring complex formation. In the latter approach, a purified chaperone, added to the cell-free protein synthesis, captures the nascent precursor protein. The choice of method will depend on the desired client-chaperone complex amount, or the need for specific labeling scheme.' article_processing_charge: No author: - first_name: Undina full_name: Guillerm, Undina id: bb74f472-ae54-11eb-9835-bc9c22fb1183 last_name: Guillerm - first_name: Iva full_name: Sučec, Iva last_name: Sučec - first_name: Paul full_name: Schanda, Paul id: 7B541462-FAF6-11E9-A490-E8DFE5697425 last_name: Schanda orcid: 0000-0002-9350-7606 citation: ama: 'Guillerm U, Sučec I, Schanda P. Generation of TIM chaperone substrate complexes. In: Methods in Enzymology. Vol 707. Elsevier; 2024:391-422. doi:10.1016/bs.mie.2024.07.051' apa: Guillerm, U., Sučec, I., & Schanda, P. (2024). Generation of TIM chaperone substrate complexes. In Methods in Enzymology (Vol. 707, pp. 391–422). Elsevier. https://doi.org/10.1016/bs.mie.2024.07.051 chicago: Guillerm, Undina, Iva Sučec, and Paul Schanda. “Generation of TIM Chaperone Substrate Complexes.” In Methods in Enzymology, 707:391–422. Elsevier, 2024. https://doi.org/10.1016/bs.mie.2024.07.051. ieee: U. Guillerm, I. Sučec, and P. Schanda, “Generation of TIM chaperone substrate complexes,” in Methods in Enzymology, vol. 707, Elsevier, 2024, pp. 391–422. ista: 'Guillerm U, Sučec I, Schanda P. 2024.Generation of TIM chaperone substrate complexes. In: Methods in Enzymology. vol. 707, 391–422.' mla: Guillerm, Undina, et al. “Generation of TIM Chaperone Substrate Complexes.” Methods in Enzymology, vol. 707, Elsevier, 2024, pp. 391–422, doi:10.1016/bs.mie.2024.07.051. short: U. Guillerm, I. Sučec, P. Schanda, in:, Methods in Enzymology, Elsevier, 2024, pp. 391–422. corr_author: '1' date_created: 2024-10-01T10:58:27Z date_published: 2024-09-13T00:00:00Z date_updated: 2025-10-22T06:40:54Z day: '13' department: - _id: PaSc doi: 10.1016/bs.mie.2024.07.051 external_id: pmid: - '39488384' fulldoi: https://doi.org/10.1016/bs.mie.2024.07.051 intvolume: ' 707' language: - iso: eng month: '09' oa_version: None page: 391-422 pmid: 1 publication: Methods in Enzymology publication_identifier: issn: - 0076-6879 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: Generation of TIM chaperone substrate complexes type: book_chapter user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 707 year: '2024' ... --- OA_place: repository OA_type: green _id: '20701' abstract: - lang: eng text: "A Proof of Exponentiation (PoE) allows a prover to efficiently convince a verifier that \U0001D466 = \U0001D465\r\n\U0001D452\r\nin some group of unknown order. PoEs\r\nare the basis for practical constructions of Verifiable Delay Functions (VDFs), which, in turn, are important for various higher-level\r\nprotocols in distributed computing. In applications such as distributed consensus, many PoEs are generated regularly, motivating\r\nprotocols for secure aggregation of batches of statements into a\r\nfew statements to improve the efficiency for both parties. Rotem\r\n(TCC 2021) recently presented two such generic batch PoEs.\r\nIn this work, we introduce two batch PoEs that outperform\r\nboth proposals of Rotem and we evaluate their practicality. First,\r\nwe show that the two batch PoEs of Rotem can be combined to\r\nimprove the overall efficiency by at least a factor of two. Second, we\r\nrevisit the work of Bellare, Garay, and Rabin (EUROCRYPT 1998)\r\non batch verification of digital signatures and show that, under the\r\nlow order assumption, their bucket test can be securely adapted to\r\nthe setting of groups of unknown order. The resulting batch PoE\r\nquickly outperforms the state of the art in the expected number of\r\ngroup multiplications with the growing number of instances, and it\r\ndecreases the cost of batching by an order of magnitude already for\r\nhundreds of thousands of instances. Importantly, it is the first batch\r\nPoE that significantly decreases both the proof size and complexity\r\nof verification. Our experimental evaluations show that even a nonoptimized implementation achieves such improvements, which\r\nwould match the demands of real-life systems requiring large-scale\r\nPoE processing.\r\nFinally, even though our proof techniques are conceptually similar to Rotem, we give an improved analysis of the application of the\r\nlow order assumption towards secure batching of PoE instances,\r\nresulting in a tight reduction, which is important when setting the\r\nsecurity parameter in practice." acknowledgement: Pavel Hubáček was supported by the Institute of Mathematics, Czech Academy of Sciences (RVO 67985840). article_number: 2024/145 article_processing_charge: No author: - first_name: Charlotte full_name: Hoffmann, Charlotte id: 0f78d746-dc7d-11ea-9b2f-83f92091afe7 last_name: Hoffmann orcid: 0000-0003-2027-5549 - first_name: Pavel full_name: Hubáček, Pavel last_name: Hubáček - first_name: Svetlana full_name: Ivanova, Svetlana last_name: Ivanova citation: ama: Hoffmann C, Hubáček P, Ivanova S. Practical batch proofs of exponentiation. Cryptology ePrint Archive. apa: Hoffmann, C., Hubáček, P., & Ivanova, S. (n.d.). Practical batch proofs of exponentiation. Cryptology ePrint Archive. International Association for Cryptologic Research. chicago: Hoffmann, Charlotte, Pavel Hubáček, and Svetlana Ivanova. “Practical Batch Proofs of Exponentiation.” Cryptology EPrint Archive. International Association for Cryptologic Research, n.d. ieee: C. Hoffmann, P. Hubáček, and S. Ivanova, “Practical batch proofs of exponentiation,” Cryptology ePrint Archive. International Association for Cryptologic Research. ista: Hoffmann C, Hubáček P, Ivanova S. Practical batch proofs of exponentiation. Cryptology ePrint Archive, 2024/145. mla: Hoffmann, Charlotte, et al. “Practical Batch Proofs of Exponentiation.” Cryptology EPrint Archive, 2024/145, International Association for Cryptologic Research. short: C. Hoffmann, P. Hubáček, S. Ivanova, Cryptology EPrint Archive (n.d.). corr_author: '1' cryptoeprintid: 1 das_tickbox: '1' date_created: 2025-11-27T10:13:38Z date_published: 2024-02-02T00:00:00Z date_updated: 2026-07-06T13:15:28Z day: '02' department: - _id: KrPi external_id: cryptoeprintid: - 2024/145 language: - iso: eng main_file_link: - open_access: '1' url: https://eprint.iacr.org/2024/145 month: '02' oa: 1 oa_version: Preprint publication: Cryptology ePrint Archive publication_status: draft publisher: International Association for Cryptologic Research related_material: record: - id: '20920' relation: dissertation_contains status: public - id: '20556' relation: dissertation_contains status: public status: public title: Practical batch proofs of exponentiation 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: preprint user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_place: repository OA_type: green _id: '19425' abstract: - lang: eng text: "We demonstrate that periodically driven quantum rotors provide a promising and broadly applicable platform to implement multi-gap topological phases, where groups of bands can acquire topological invariants due to non-Abelian braiding of band degeneracies. By adiabatically varying the periodic kicks to the rotor we find nodal-line braiding, which causes sign flips of topological charges of band nodes and can prevent them from annihilating, indicated by non-zero values of the %non-Abelian patch Euler class. In particular, we report\r\non the emergence of an anomalous Dirac string phase arising in the strongly driven regime, a truly out-of-equilibrium phase of the quantum rotor. This phase emanates from braiding processes involving all (quasienergy) gaps and manifests itself with edge states at zero angular momentum. Our results reveal direct applications in state-of-the-art experiments of quantum rotors, such as linear molecules driven by periodic far-off-resonant laser pulses or artificial\r\nquantum rotors in optical lattices, whose extensive versatility offers precise modification and observation of novel non-Abelian topological properties. " acknowledgement: "We thank G. M. Koutentakis, S. Wimberger, J. G. E. Harris, T. Enss and A. Ghazaryan for fruitful discussions. M.L. acknowledges support by the European Research Council (ERC) Starting Grant No. 801770 (ANGULON). R.-J. S. acknowledges funding from a EPSRC ERC underwrite grant EP/X025829/1, a EPSRC New Investigator Award grant EP/W00187X/1, as well as Trinity College, Cambridge. F.N.U. acknowledges support from the Marie ¨Sk lodowska-Curie programme of the European Commission [Grant No. 893915], Simons Investigator Award\r\n[Grant No. 511029] and Trinity College Cambridge." article_number: '2408.16848' article_processing_charge: No arxiv: 1 author: - first_name: Volker full_name: Karle, Volker id: D7C012AE-D7ED-11E9-95E8-1EC5E5697425 last_name: Karle orcid: 0000-0002-6963-0129 - first_name: Mikhail full_name: Lemeshko, Mikhail id: 37CB05FA-F248-11E8-B48F-1D18A9856A87 last_name: Lemeshko orcid: 0000-0002-6990-7802 - first_name: Adrien full_name: Bouhon, Adrien last_name: Bouhon - first_name: Robert-Jan full_name: Slager, Robert-Jan last_name: Slager - first_name: F. Nur full_name: Ünal, F. Nur last_name: Ünal citation: ama: Karle V, Lemeshko M, Bouhon A, Slager R-J, Ünal FN. Anomalous multi-gap topological phases in periodically driven quantum  rotors. arXiv. doi:10.48550/arXiv.2408.16848 apa: Karle, V., Lemeshko, M., Bouhon, A., Slager, R.-J., & Ünal, F. N. (n.d.). Anomalous multi-gap topological phases in periodically driven quantum  rotors. arXiv. https://doi.org/10.48550/arXiv.2408.16848 chicago: Karle, Volker, Mikhail Lemeshko, Adrien Bouhon, Robert-Jan Slager, and F. Nur Ünal. “Anomalous Multi-Gap Topological Phases in Periodically Driven Quantum  Rotors.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2408.16848. ieee: V. Karle, M. Lemeshko, A. Bouhon, R.-J. Slager, and F. N. Ünal, “Anomalous multi-gap topological phases in periodically driven quantum  rotors,” arXiv. . ista: Karle V, Lemeshko M, Bouhon A, Slager R-J, Ünal FN. Anomalous multi-gap topological phases in periodically driven quantum  rotors. arXiv, 2408.16848. mla: Karle, Volker, et al. “Anomalous Multi-Gap Topological Phases in Periodically Driven Quantum  Rotors.” ArXiv, 2408.16848, doi:10.48550/arXiv.2408.16848. short: V. Karle, M. Lemeshko, A. Bouhon, R.-J. Slager, F.N. Ünal, ArXiv (n.d.). date_created: 2025-03-20T07:48:23Z date_published: 2024-08-29T00:00:00Z date_updated: 2026-07-29T08:59:31Z day: '29' department: - _id: MiLe doi: 10.48550/arXiv.2408.16848 ec_funded: 1 external_id: arxiv: - '2408.16848' fulldoi: https://doi.org/10.48550/arXiv.2408.16848 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2408.16848 month: '08' oa: 1 oa_version: Preprint project: - _id: 2688CF98-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '801770' name: 'Angulon: physics and applications of a new quasiparticle' publication: arXiv publication_status: draft related_material: record: - id: '19393' relation: dissertation_contains status: public - id: '21009' relation: later_version status: public status: public title: Anomalous multi-gap topological phases in periodically driven quantum rotors type: preprint user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '19051' abstract: - lang: eng text: This paper corrects an error in an earlier work of the author. article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Timothy D full_name: Browning, Timothy D id: 35827D50-F248-11E8-B48F-1D18A9856A87 last_name: Browning orcid: 0000-0002-8314-0177 citation: ama: Browning TD. The polynomial sieve and equal sums of like polynomials. International Mathematics Research Notices. 2024;2024(13):10165-10168. doi:10.1093/imrn/rnae066 apa: Browning, T. D. (2024). The polynomial sieve and equal sums of like polynomials. International Mathematics Research Notices. Oxford University Press. https://doi.org/10.1093/imrn/rnae066 chicago: Browning, Timothy D. “The Polynomial Sieve and Equal Sums of like Polynomials.” International Mathematics Research Notices. Oxford University Press, 2024. https://doi.org/10.1093/imrn/rnae066. ieee: T. D. Browning, “The polynomial sieve and equal sums of like polynomials,” International Mathematics Research Notices, vol. 2024, no. 13. Oxford University Press, pp. 10165–10168, 2024. ista: Browning TD. 2024. The polynomial sieve and equal sums of like polynomials. International Mathematics Research Notices. 2024(13), 10165–10168. mla: Browning, Timothy D. “The Polynomial Sieve and Equal Sums of like Polynomials.” International Mathematics Research Notices, vol. 2024, no. 13, Oxford University Press, 2024, pp. 10165–68, doi:10.1093/imrn/rnae066. short: T.D. Browning, International Mathematics Research Notices 2024 (2024) 10165–10168. corr_author: '1' das_tickbox: '0' date_created: 2025-02-18T07:15:50Z date_published: 2024-07-01T00:00:00Z date_updated: 2026-07-29T09:59:57Z day: '01' ddc: - '510' department: - _id: TiBr doi: 10.1093/imrn/rnae066 external_id: isi: - '001196957300001' file: - access_level: open_access checksum: b625b8adf018d2a97591813c1fc17b96 content_type: application/pdf creator: dernst date_created: 2025-02-18T07:56:36Z date_updated: 2025-02-18T07:56:36Z file_id: '19052' file_name: 2024_IMRN_Browning.pdf file_size: 205750 relation: main_file success: 1 file_date_updated: 2025-02-18T07:56:36Z fulldoi: https://doi.org/10.1093/imrn/rnae066 has_accepted_license: '1' intvolume: ' 2024' isi: 1 issue: '13' language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: 10165-10168 publication: International Mathematics Research Notices publication_identifier: eissn: - 1687-0247 issn: - 1073-7928 publication_status: published publisher: Oxford University Press quality_controlled: '1' related_material: record: - id: '254' relation: earlier_version status: public researchdata_availability: no scopus_import: '1' status: public supplementarymaterial: no title: The polynomial sieve and equal sums of like polynomials 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: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 2024 year: '2024' ...