[{"_id":"19408","oa":1,"department":[{"_id":"ChLa"}],"publication_identifier":{"eissn":["2835-8856"]},"article_type":"original","date_published":"2024-04-12T00:00:00Z","intvolume":"      2024","title":"Continual learning: Applications and the road forward","scopus_import":"1","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."}],"volume":2024,"year":"2024","OA_type":"diamond","day":"12","arxiv":1,"publisher":"Transactions on Machine Learning Research","external_id":{"arxiv":["2311.11908"]},"publication":"Transactions on Machine Learning Research","month":"04","oa_version":"Published Version","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"citation":{"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.","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).","mla":"Verwimp, Eli, et al. “Continual Learning: Applications and the Road Forward.” <i>Transactions on Machine Learning Research</i>, vol. 2024, Transactions on Machine Learning Research, 2024.","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.” <i>Transactions on Machine Learning Research</i>. Transactions on Machine Learning Research, 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. <i>Transactions on Machine Learning Research</i>. Transactions on Machine Learning Research.","ieee":"E. Verwimp <i>et al.</i>, “Continual learning: Applications and the road forward,” <i>Transactions on Machine Learning Research</i>, vol. 2024. Transactions on Machine Learning Research, 2024.","ama":"Verwimp E, Aljundi R, Ben-David S, et al. Continual learning: Applications and the road forward. <i>Transactions on Machine Learning Research</i>. 2024;2024."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","quality_controlled":"1","file_date_updated":"2025-03-20T09:02:18Z","type":"journal_article","author":[{"last_name":"Verwimp","full_name":"Verwimp, Eli","first_name":"Eli"},{"first_name":"Rahaf","full_name":"Aljundi, Rahaf","last_name":"Aljundi"},{"full_name":"Ben-David, Shai","first_name":"Shai","last_name":"Ben-David"},{"last_name":"Bethge","first_name":"Matthias","full_name":"Bethge, Matthias"},{"last_name":"Cossu","full_name":"Cossu, Andrea","first_name":"Andrea"},{"full_name":"Gepperth, Alexander","first_name":"Alexander","last_name":"Gepperth"},{"full_name":"Hayes, Tyler L.","first_name":"Tyler L.","last_name":"Hayes"},{"full_name":"Hüllermeier, Eyke","first_name":"Eyke","last_name":"Hüllermeier"},{"first_name":"Christopher","full_name":"Kanan, Christopher","last_name":"Kanan"},{"first_name":"Dhireesha","full_name":"Kudithipudi, Dhireesha","last_name":"Kudithipudi"},{"last_name":"Lampert","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-8622-7887","full_name":"Lampert, Christoph","first_name":"Christoph"},{"full_name":"Mundt, Martin","first_name":"Martin","last_name":"Mundt"},{"last_name":"Pascanu","first_name":"Razvan","full_name":"Pascanu, Razvan"},{"full_name":"Popescu, Adrian","first_name":"Adrian","last_name":"Popescu"},{"full_name":"Tolias, Andreas S.","first_name":"Andreas S.","last_name":"Tolias"},{"last_name":"Van De Weijer","first_name":"Joost","full_name":"Van De Weijer, Joost"},{"first_name":"Bing","full_name":"Liu, Bing","last_name":"Liu"},{"full_name":"Lomonaco, Vincenzo","first_name":"Vincenzo","last_name":"Lomonaco"},{"last_name":"Tuytelaars","first_name":"Tinne","full_name":"Tuytelaars, Tinne"},{"full_name":"Van De Ven, Gido M.","first_name":"Gido M.","last_name":"Van De Ven"}],"publication_status":"published","alternative_title":["TMLR"],"OA_place":"publisher","language":[{"iso":"eng"}],"ddc":["000"],"status":"public","has_accepted_license":"1","date_updated":"2025-03-20T09:21:02Z","date_created":"2025-03-16T23:01:25Z","file":[{"content_type":"application/pdf","checksum":"0714e12f7423cd098976ed9974561155","success":1,"file_name":"2024_TMLR_Verwimp.pdf","creator":"dernst","date_updated":"2025-03-20T09:02:18Z","date_created":"2025-03-20T09:02:18Z","relation":"main_file","access_level":"open_access","file_size":1367966,"file_id":"19426"}]},{"page":"1124-1127","publication":"Nature Mental Health","publisher":"Springer Nature","volume":2,"abstract":[{"text":"This Comment explores new approaches to enrich large-scale population data, including incorporating macro-environmental and digital health measures.","lang":"eng"}],"fulldoi":"https://doi.org/10.1038/s44220-024-00316-z","day":"01","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.","OA_type":"closed access","doi":"10.1038/s44220-024-00316-z","year":"2024","date_published":"2024-10-01T00:00:00Z","article_type":"letter_note","scopus_import":"1","title":"Large-scale population data enrichment in mental health research","intvolume":"         2","_id":"19446","publication_identifier":{"eissn":["2731-6076"]},"department":[{"_id":"GaNo"}],"date_created":"2025-03-23T23:01:28Z","date_updated":"2025-03-25T08:28:39Z","language":[{"iso":"eng"}],"issue":"10","status":"public","quality_controlled":"1","publication_status":"published","author":[{"last_name":"Nees","first_name":"Frauke","full_name":"Nees, Frauke"},{"full_name":"Renner, 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Antoine","last_name":"Bernas"},{"first_name":"Emin","full_name":"Serin, Emin","last_name":"Serin"},{"first_name":"Marcel","full_name":"Jentsch, Marcel","last_name":"Jentsch"},{"full_name":"Hitchen, Esther","first_name":"Esther","last_name":"Hitchen"},{"first_name":"Hedi","full_name":"Kebir, Hedi","last_name":"Kebir"},{"last_name":"Lett","full_name":"Lett, Tristram A.","first_name":"Tristram A."},{"last_name":"Roy","full_name":"Roy, Jean Charles","first_name":"Jean Charles"},{"last_name":"Eils","full_name":"Eils, Roland","first_name":"Roland"},{"last_name":"Taron","first_name":"Ulrike Helene","full_name":"Taron, Ulrike Helene"},{"full_name":"Schütz, Tatjana","first_name":"Tatjana","last_name":"Schütz"},{"first_name":"Jamie","full_name":"Banks, Jamie","last_name":"Banks"},{"last_name":"Banaschewski","first_name":"Tobias","full_name":"Banaschewski, Tobias"},{"last_name":"Jansone","first_name":"Karina","full_name":"Jansone, Karina"},{"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"},{"full_name":"Holz, Nathalie","first_name":"Nathalie","last_name":"Holz"},{"full_name":"Schwarz, Emanuel","first_name":"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"},{"full_name":"Aden, Rieke","first_name":"Rieke","last_name":"Aden"},{"first_name":"Ole A.","full_name":"Andreassen, Ole A.","last_name":"Andreassen"},{"last_name":"Westlye","first_name":"Lars T.","full_name":"Westlye, Lars T."},{"first_name":"Dennis","full_name":"Van Der Meer, Dennis","last_name":"Van Der Meer"},{"full_name":"Fernandez, 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Eiroa","last_name":"Orosa"},{"last_name":"Gallego","first_name":"Jaime","full_name":"Gallego, Jaime"},{"last_name":"Pastor","full_name":"Pastor, Alvaro","first_name":"Alvaro"},{"first_name":"Andreas J.","full_name":"Forstner, Andreas J.","last_name":"Forstner"},{"last_name":"Hoffmann","full_name":"Hoffmann, Per","first_name":"Per"},{"first_name":"Markus M.","full_name":"Nöthen, Markus M.","last_name":"Nöthen"},{"full_name":"Claus, Isabelle","first_name":"Isabelle","last_name":"Claus"},{"last_name":"Miller","full_name":"Miller, Abigail","first_name":"Abigail"},{"last_name":"Mathey","full_name":"Mathey, Carina M.","first_name":"Carina M."},{"last_name":"Heilmann-Heimbach","first_name":"Stefanie","full_name":"Heilmann-Heimbach, Stefanie"},{"last_name":"Sommer","first_name":"Peter","full_name":"Sommer, Peter"},{"last_name":"Patraskaki","full_name":"Patraskaki, Myrto","first_name":"Myrto"},{"last_name":"Wilbertz","full_name":"Wilbertz, Johannes","first_name":"Johannes"},{"first_name":"Karen","full_name":"Schmitt, Karen","last_name":"Schmitt"},{"full_name":"Jirsa, Viktor","first_name":"Viktor","last_name":"Jirsa"},{"full_name":"Petkoski, Spase","first_name":"Spase","last_name":"Petkoski"},{"last_name":"Pitel","first_name":"Séverine","full_name":"Pitel, Séverine"},{"first_name":"Lisa","full_name":"Otten, Lisa","last_name":"Otten"},{"last_name":"Athanasiadis","first_name":"Anastasios Polykarpos","full_name":"Athanasiadis, Anastasios Polykarpos"},{"first_name":"Charlie","full_name":"Pearmund, Charlie","last_name":"Pearmund"},{"full_name":"Spanlang, Bernhard","first_name":"Bernhard","last_name":"Spanlang"},{"first_name":"Elena","full_name":"Alvarez, Elena","last_name":"Alvarez"},{"first_name":"Mavi","full_name":"Sanchez, Mavi","last_name":"Sanchez"},{"full_name":"Giner, Arantxa","first_name":"Arantxa","last_name":"Giner"},{"last_name":"Jia","full_name":"Jia, Tianye","first_name":"Tianye"},{"first_name":"Yanting","full_name":"Gong, Yanting","last_name":"Gong"},{"last_name":"Xia","full_name":"Xia, Yunman","first_name":"Yunman"},{"first_name":"Xiao","full_name":"Chang, Xiao","last_name":"Chang"},{"last_name":"Calhoun","full_name":"Calhoun, Vince","first_name":"Vince"},{"first_name":"Jingyu","full_name":"Liu, Jingyu","last_name":"Liu"},{"last_name":"Schwalber","full_name":"Schwalber, Ameli","first_name":"Ameli"},{"last_name":"Thompson","first_name":"Paul","full_name":"Thompson, Paul"},{"first_name":"Nicholas","full_name":"Clinton, Nicholas","last_name":"Clinton"},{"last_name":"Desrivières","full_name":"Desrivières, Sylvane","first_name":"Sylvane"},{"last_name":"Young","full_name":"Young, Allan H.","first_name":"Allan H."},{"first_name":"Bernd","full_name":"Stahl, Bernd","last_name":"Stahl"},{"last_name":"Ogoh","full_name":"Ogoh, George","first_name":"George"}],"type":"journal_article","oa_version":"None","citation":{"ieee":"F. Nees <i>et al.</i>, “Large-scale population data enrichment in mental health research,” <i>Nature Mental Health</i>, vol. 2, no. 10. Springer Nature, pp. 1124–1127, 2024.","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. <i>Nature Mental Health</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s44220-024-00316-z\">https://doi.org/10.1038/s44220-024-00316-z</a>","ama":"Nees F, Renner P, Holz NE, et al. Large-scale population data enrichment in mental health research. <i>Nature Mental Health</i>. 2024;2(10):1124-1127. doi:<a href=\"https://doi.org/10.1038/s44220-024-00316-z\">10.1038/s44220-024-00316-z</a>","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.” <i>Nature Mental Health</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1038/s44220-024-00316-z\">https://doi.org/10.1038/s44220-024-00316-z</a>.","mla":"Nees, Frauke, et al. “Large-Scale Population Data Enrichment in Mental Health Research.” <i>Nature Mental Health</i>, vol. 2, no. 10, Springer Nature, 2024, pp. 1124–27, doi:<a href=\"https://doi.org/10.1038/s44220-024-00316-z\">10.1038/s44220-024-00316-z</a>.","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.","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."},"month":"10","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"quality_controlled":"1","publication_status":"published","alternative_title":["Advances in Neural Information Processing Systems"],"type":"conference","author":[{"last_name":"Crisostomi","full_name":"Crisostomi, Donato","first_name":"Donato"},{"last_name":"Fumero","id":"1c1593eb-393f-11ef-bb8e-ab4f1e979650","full_name":"Fumero, Marco","first_name":"Marco"},{"last_name":"Baieri","full_name":"Baieri, Daniele","first_name":"Daniele"},{"last_name":"Bernard","full_name":"Bernard, Florian","first_name":"Florian"},{"first_name":"Emanuele","full_name":"Rodolà, Emanuele","last_name":"Rodolà"}],"oa_version":"Preprint","citation":{"short":"D. Crisostomi, M. Fumero, D. Baieri, F. Bernard, E. Rodolà, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","ista":"Crisostomi D, Fumero M, Baieri D, Bernard F, Rodolà E. 2024. C2M3: Cycle-consistent multi-model merging. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.","mla":"Crisostomi, Donato, et al. “C2M3: Cycle-Consistent Multi-Model Merging.” <i>38th Conference on Neural Information Processing Systems</i>, vol. 37, Neural Information Processing Systems Foundation, 2024.","chicago":"Crisostomi, Donato, Marco Fumero, Daniele Baieri, Florian Bernard, and Emanuele Rodolà. “C2M3: Cycle-Consistent Multi-Model Merging.” In <i>38th Conference on Neural Information Processing Systems</i>, Vol. 37. Neural Information Processing Systems Foundation, 2024.","apa":"Crisostomi, D., Fumero, M., Baieri, D., Bernard, F., &#38; Rodolà, E. (2024). C2M3: Cycle-consistent multi-model merging. In <i>38th Conference on Neural Information Processing Systems</i> (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.","ieee":"D. Crisostomi, M. Fumero, D. Baieri, F. Bernard, and E. Rodolà, “C2M3: Cycle-consistent multi-model merging,” in <i>38th Conference on Neural Information Processing Systems</i>, Vancouver, Canada, 2024, vol. 37.","ama":"Crisostomi D, Fumero M, Baieri D, Bernard F, Rodolà E. C2M3: Cycle-consistent multi-model merging. In: <i>38th Conference on Neural Information Processing Systems</i>. Vol 37. Neural Information Processing Systems Foundation; 2024."},"month":"12","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","conference":{"start_date":"2024-12-09","name":"NeurIPS: Neural Information Processing Systems","end_date":"2024-12-15","location":"Vancouver, Canada"},"date_created":"2025-04-06T22:01:32Z","date_updated":"2025-05-14T11:36:59Z","language":[{"iso":"eng"}],"OA_place":"repository","status":"public","date_published":"2024-12-20T00:00:00Z","intvolume":"        37","title":"C2M3: Cycle-consistent multi-model merging","scopus_import":"1","_id":"19517","publication_identifier":{"issn":["1049-5258"]},"corr_author":"1","department":[{"_id":"FrLo"}],"oa":1,"publisher":"Neural Information Processing Systems Foundation","arxiv":1,"publication":"38th Conference on Neural Information Processing Systems","external_id":{"arxiv":["2405.17897"]},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2405.17897"}],"project":[{"name":"IST-BRIDGE: International postdoctoral program","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","call_identifier":"H2020","grant_number":"101034413"}],"volume":37,"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."}],"ec_funded":1,"OA_type":"green","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.","day":"20","year":"2024"},{"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","conference":{"start_date":"2024-12-09","name":"NeurIPS: Neural Information Processing Systems","end_date":"2024-12-15","location":"Vancouver, Canada"},"oa_version":"Preprint","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: <i>38th Conference on Neural Information Processing Systems</i>. Vol 37. Neural Information Processing Systems Foundation; 2024.","apa":"Wu, D., Modoranu, I.-V., Safaryan, M., Kuznedelev, D., &#38; Alistarh, D.-A. (2024). The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. In <i>38th Conference on Neural Information Processing Systems</i> (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.","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 <i>38th Conference on Neural Information Processing Systems</i>, Vancouver, Canada, 2024, vol. 37.","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 <i>38th Conference on Neural Information Processing Systems</i>, Vol. 37. Neural Information Processing Systems Foundation, 2024.","mla":"Wu, Diyuan, et al. “The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information.” <i>38th Conference on Neural Information Processing Systems</i>, vol. 37, Neural Information Processing Systems Foundation, 2024.","ista":"Wu D, Modoranu I-V, Safaryan M, Kuznedelev D, Alistarh D-A. 2024. The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.","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."},"month":"12","alternative_title":["Advances in Neural Information Processing Systems"],"publication_status":"published","author":[{"first_name":"Diyuan","full_name":"Wu, Diyuan","id":"1a5914c2-896a-11ed-bdf8-fb80621a0635","last_name":"Wu"},{"id":"449f7a18-f128-11eb-9611-9b430c0c6333","last_name":"Modoranu","first_name":"Ionut-Vlad","full_name":"Modoranu, Ionut-Vlad"},{"id":"dd546b39-0804-11ed-9c55-ef075c39778d","last_name":"Safaryan","first_name":"Mher","full_name":"Safaryan, Mher"},{"last_name":"Kuznedelev","full_name":"Kuznedelev, Denis","first_name":"Denis"},{"first_name":"Dan-Adrian","full_name":"Alistarh, Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","last_name":"Alistarh","orcid":"0000-0003-3650-940X"}],"type":"conference","quality_controlled":"1","acknowledged_ssus":[{"_id":"CampIT"}],"status":"public","OA_place":"repository","language":[{"iso":"eng"}],"date_created":"2025-04-06T22:01:32Z","date_updated":"2025-05-14T11:37:10Z","corr_author":"1","publication_identifier":{"issn":["1049-5258"]},"oa":1,"department":[{"_id":"DaAl"},{"_id":"MaMo"}],"_id":"19518","title":"The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information","scopus_import":"1","intvolume":"        37","date_published":"2024-12-20T00:00:00Z","OA_type":"green","day":"20","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.","year":"2024","volume":37,"project":[{"grant_number":"101034413","call_identifier":"H2020","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","name":"IST-BRIDGE: International postdoctoral program"}],"ec_funded":1,"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."}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2408.17163"}],"publication":"38th Conference on Neural Information Processing Systems","external_id":{"arxiv":["2408.17163"]},"arxiv":1,"publisher":"Neural Information Processing Systems Foundation"},{"status":"public","has_accepted_license":"1","ddc":["000"],"language":[{"iso":"eng"}],"OA_place":"publisher","file":[{"access_level":"open_access","file_size":939712,"file_id":"19521","checksum":"54d36f947887e26d0e568b512167001a","content_type":"application/pdf","date_created":"2025-04-07T09:17:10Z","relation":"main_file","date_updated":"2025-04-07T09:17:10Z","success":1,"file_name":"2024_NeurIPS_Malinovskii.pdf","creator":"dernst"}],"date_created":"2025-04-06T22:01:32Z","date_updated":"2025-05-14T10:49:20Z","conference":{"location":"Vancouver, Canada","start_date":"2024-12-10","name":"NeurIPS: Neural Information Processing Systems","end_date":"2024-12-15"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","month":"12","oa_version":"Published Version","citation":{"mla":"Malinovskii, Vladimir, et al. “PV-Tuning: Beyond Straight-through Estimation for Extreme LLM Compression.” <i>38th Conference on Neural Information Processing Systems</i>, 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.","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.","ama":"Malinovskii V, Mazur D, Ilin I, et al. PV-tuning: Beyond straight-through estimation for extreme LLM compression. In: <i>38th Conference on Neural Information Processing Systems</i>. 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 <i>38th Conference on Neural Information Processing Systems</i> (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.","ieee":"V. Malinovskii <i>et al.</i>, “PV-tuning: Beyond straight-through estimation for extreme LLM compression,” in <i>38th Conference on Neural Information Processing Systems</i>, Vancouver, Canada, 2024, vol. 37.","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 <i>38th Conference on Neural Information Processing Systems</i>, Vol. 37. Neural Information Processing Systems Foundation, 2024."},"type":"conference","author":[{"last_name":"Malinovskii","first_name":"Vladimir","full_name":"Malinovskii, Vladimir"},{"last_name":"Mazur","first_name":"Denis","full_name":"Mazur, Denis"},{"last_name":"Ilin","full_name":"Ilin, Ivan","first_name":"Ivan"},{"last_name":"Kuznedelev","full_name":"Kuznedelev, Denis","first_name":"Denis"},{"last_name":"Burlachenko","full_name":"Burlachenko, Konstantin","first_name":"Konstantin"},{"full_name":"Yi, Kai","first_name":"Kai","last_name":"Yi"},{"full_name":"Alistarh, Dan-Adrian","first_name":"Dan-Adrian","last_name":"Alistarh","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3650-940X"},{"last_name":"Richtarik","first_name":"Peter","full_name":"Richtarik, Peter"}],"alternative_title":["Advances in Neural Information Processing Systems"],"publication_status":"published","quality_controlled":"1","file_date_updated":"2025-04-07T09:17:10Z","year":"2024","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.","day":"20","OA_type":"gold","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."}],"volume":37,"arxiv":1,"publisher":"Neural Information Processing Systems Foundation","publication":"38th Conference on Neural Information Processing Systems","external_id":{"arxiv":["2405.14852"]},"department":[{"_id":"DaAl"}],"oa":1,"publication_identifier":{"isbn":["9798331314385"],"issn":["1049-5258"]},"_id":"19519","intvolume":"        37","title":"PV-tuning: Beyond straight-through estimation for extreme LLM compression","scopus_import":"1","date_published":"2024-12-20T00:00:00Z"},{"article_processing_charge":"No","corr_author":"1","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"LoSw"},{"_id":"TiVo"},{"_id":"Bio"},{"_id":"NiBa"}],"oa":1,"oa_version":"Preprint","citation":{"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. <i>bioRxiv</i>. <a href=\"https://doi.org/10.1101/2024.09.20.614050\">https://doi.org/10.1101/2024.09.20.614050</a>","ieee":"D. Vijatovic <i>et al.</i>, “Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis,” <i>bioRxiv</i>. .","ama":"Vijatovic D, Toma FA, Harrington ZP, et al. Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis. <i>bioRxiv</i>. doi:<a href=\"https://doi.org/10.1101/2024.09.20.614050\">10.1101/2024.09.20.614050</a>","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.” <i>BioRxiv</i>, n.d. <a href=\"https://doi.org/10.1101/2024.09.20.614050\">https://doi.org/10.1101/2024.09.20.614050</a>.","mla":"Vijatovic, David, et al. “Spinal Neuron Diversity Scales Exponentially with Swim-to-Limb Transformation during Frog Metamorphosis.” <i>BioRxiv</i>, doi:<a href=\"https://doi.org/10.1101/2024.09.20.614050\">10.1101/2024.09.20.614050</a>.","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, <a href=\"https://doi.org/10.1101/2024.09.20.614050\">10.1101/2024.09.20.614050</a>.","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.)."},"_id":"19520","month":"09","publication_status":"submitted","title":"Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis","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"},{"orcid":"0009-0008-0158-4032","last_name":"Harrington","id":"a8144562-32c9-11ee-b5ce-d9800628bda2","full_name":"Harrington, Zoe P","first_name":"Zoe P"},{"first_name":"Christoph M","full_name":"Sommer, Christoph M","id":"4DF26D8C-F248-11E8-B48F-1D18A9856A87","last_name":"Sommer","orcid":"0000-0003-1216-9105"},{"id":"4E01D6B4-F248-11E8-B48F-1D18A9856A87","last_name":"Hauschild","orcid":"0000-0001-9843-3522","first_name":"Robert","full_name":"Hauschild, Robert"},{"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"},{"last_name":"Brenner-Morton","first_name":"Susan","full_name":"Brenner-Morton, Susan"},{"first_name":"Mariano I.","full_name":"Gabitto, Mariano I.","last_name":"Gabitto"},{"full_name":"Dasen, Jeremy S.","first_name":"Jeremy S.","last_name":"Dasen"},{"last_name":"Bikoff","full_name":"Bikoff, Jay B.","first_name":"Jay B."},{"first_name":"Lora Beatrice Jaeger","full_name":"Sweeney, Lora Beatrice Jaeger","orcid":"0000-0001-9242-5601","id":"56BE8254-C4F0-11E9-8E45-0B23E6697425","last_name":"Sweeney"}],"type":"preprint","date_published":"2024-09-27T00:00:00Z","fulldoi":"https://doi.org/10.1101/2024.09.20.614050","acknowledged_ssus":[{"_id":"Bio"}],"day":"27","OA_type":"green","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.). ","doi":"10.1101/2024.09.20.614050","year":"2024","status":"public","OA_place":"repository","language":[{"iso":"eng"}],"project":[{"grant_number":"FTI21-D-046","name":"Development of V1 interneuron diversity during swim-to-walk transition of Xenopus metamorphosis","_id":"bd73af52-d553-11ed-ba76-912049f0ac7a"},{"_id":"ebb66355-77a9-11ec-83b8-b8ac210a4dae","name":"Development and Evolution of Tetrapod Motor Circuits","grant_number":"101041551"},{"grant_number":"CZI01","name":"Tools for automation and feedback microscopy","_id":"c08e9ad1-5a5b-11eb-8a69-9d1cf3b07473"}],"abstract":[{"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.","lang":"eng"}],"main_file_link":[{"url":"https://doi.org/10.1101/2024.09.20.614050","open_access":"1"}],"date_updated":"2025-05-14T11:40:13Z","date_created":"2025-04-07T08:48:28Z","publication":"bioRxiv"},{"OA_place":"repository","related_material":{"record":[{"status":"public","relation":"used_in_publication","id":"19796"}]},"ddc":["000"],"abstract":[{"text":"This archive contains all the code and data necessary to reproduce the results presented in the \r\n\"Mapping the attractor landscape of Boolean networks\" paper.","lang":"eng"}],"fulldoi":"https://doi.org/10.5281/ZENODO.13854759","OA_type":"green","day":"28","doi":"10.5281/ZENODO.13854759","has_accepted_license":"1","year":"2024","status":"public","date_updated":"2025-09-30T12:46:33Z","date_created":"2025-06-10T07:10:01Z","publisher":"Zenodo","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.13854760"}],"oa_version":"Published Version","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"citation":{"ieee":"V. G. trinh, K. H. Park, S. Pastva, and J. Rozum, “Mapping the attractor landscape of Boolean networks.” Zenodo, 2024.","apa":"trinh, V. G., Park, K. H., Pastva, S., &#38; Rozum, J. (2024). Mapping the attractor landscape of Boolean networks. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.13854759\">https://doi.org/10.5281/ZENODO.13854759</a>","ama":"trinh VG, Park KH, Pastva S, Rozum J. Mapping the attractor landscape of Boolean networks. 2024. doi:<a href=\"https://doi.org/10.5281/ZENODO.13854759\">10.5281/ZENODO.13854759</a>","chicago":"trinh, Van Giang, Kyu Hyong Park, Samuel Pastva, and Jordan Rozum. “Mapping the Attractor Landscape of Boolean Networks.” Zenodo, 2024. <a href=\"https://doi.org/10.5281/ZENODO.13854759\">https://doi.org/10.5281/ZENODO.13854759</a>.","mla":"trinh, Van Giang, et al. <i>Mapping the Attractor Landscape of Boolean Networks</i>. Zenodo, 2024, doi:<a href=\"https://doi.org/10.5281/ZENODO.13854759\">10.5281/ZENODO.13854759</a>.","short":"V.G. trinh, K.H. Park, S. Pastva, J. Rozum, (2024).","ista":"trinh VG, Park KH, Pastva S, Rozum J. 2024. Mapping the attractor landscape of Boolean networks, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.13854759\">10.5281/ZENODO.13854759</a>."},"_id":"19800","month":"09","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"ToHe"}],"oa":1,"date_published":"2024-09-28T00:00:00Z","title":"Mapping the attractor landscape of Boolean networks","author":[{"last_name":"trinh","full_name":"trinh, Van Giang","first_name":"Van Giang"},{"last_name":"Park","first_name":"Kyu Hyong","full_name":"Park, Kyu Hyong"},{"first_name":"Samuel","full_name":"Pastva, Samuel","orcid":"0000-0003-1993-0331","id":"07c5ea74-f61c-11ec-a664-aa7c5d957b2b","last_name":"Pastva"},{"full_name":"Rozum, Jordan","first_name":"Jordan","last_name":"Rozum"}],"type":"research_data_reference"},{"month":"11","_id":"19884","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"oa_version":"Published Version","citation":{"short":"E. Frantar, R. Castro, J. Chen, T. Hoefler, D.-A. Alistarh, (2024).","ista":"Frantar E, Castro R, Chen J, Hoefler T, Alistarh D-A. 2024. MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.14213091\">10.5281/ZENODO.14213091</a>.","mla":"Frantar, Elias, et al. <i>MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models</i>. Zenodo, 2024, doi:<a href=\"https://doi.org/10.5281/ZENODO.14213091\">10.5281/ZENODO.14213091</a>.","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. <a href=\"https://doi.org/10.5281/ZENODO.14213091\">https://doi.org/10.5281/ZENODO.14213091</a>.","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:<a href=\"https://doi.org/10.5281/ZENODO.14213091\">10.5281/ZENODO.14213091</a>","apa":"Frantar, E., Castro, R., Chen, J., Hoefler, T., &#38; Alistarh, D.-A. (2024). MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.14213091\">https://doi.org/10.5281/ZENODO.14213091</a>","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."},"department":[{"_id":"DaAl"}],"oa":1,"corr_author":"1","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2024-11-24T00:00:00Z","title":"MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models","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","orcid":"0000-0001-5337-5875","id":"4d0a9064-1ff6-11ee-9fa6-ec046c604785","last_name":"Chen"},{"full_name":"Hoefler, Torsten","first_name":"Torsten","last_name":"Hoefler"},{"last_name":"Alistarh","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3650-940X","full_name":"Alistarh, Dan-Adrian","first_name":"Dan-Adrian"}],"type":"research_data_reference","abstract":[{"text":"This is Marlin, a Mixed Auto-Regressive Linear kernel (and the name of one of the planet's fastest fish), an extremely optimized FP16xINT4 matmul kernel aimed at LLM inference that can deliver close to ideal (4x) speedups up to batchsizes of 16-32 tokens (in contrast to the 1-2 tokens of prior work with comparable speedup).\r\n\r\nAdditionally, it includes Sparse-Marlin, an extension of the MARLIN kernels adding support to 2:4 weight sparsity, achieving 5.3x speedups on NVIDIA GPUs (Ampere/Ada).","lang":"eng"}],"OA_place":"repository","related_material":{"record":[{"status":"public","id":"19877","relation":"used_for_analysis_in"}]},"ddc":["000"],"has_accepted_license":"1","year":"2024","doi":"10.5281/ZENODO.14213091","status":"public","fulldoi":"https://doi.org/10.5281/ZENODO.14213091","day":"24","date_created":"2025-06-24T06:09:18Z","date_updated":"2025-09-30T13:41:56Z","publisher":"Zenodo","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/ZENODO.14213091"}]},{"status":"public","language":[{"iso":"eng"}],"issue":"10","date_updated":"2025-07-22T08:59:10Z","date_created":"2025-07-20T22:02:04Z","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa_version":"None","citation":{"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.","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.” <i>Nature Mental Health</i>, vol. 2, no. 10, Springer Nature, 2024, pp. 1134–37, doi:<a href=\"https://doi.org/10.1038/s44220-024-00315-0\">10.1038/s44220-024-00315-0</a>.","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.” <i>Nature Mental Health</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1038/s44220-024-00315-0\">https://doi.org/10.1038/s44220-024-00315-0</a>.","ama":"Neidhart M, Kjelkenes R, Jansone K, et al. A protocol for data harmonization in large cohorts. <i>Nature Mental Health</i>. 2024;2(10):1134-1137. doi:<a href=\"https://doi.org/10.1038/s44220-024-00315-0\">10.1038/s44220-024-00315-0</a>","ieee":"M. Neidhart <i>et al.</i>, “A protocol for data harmonization in large cohorts,” <i>Nature Mental Health</i>, vol. 2, no. 10. Springer Nature, pp. 1134–1137, 2024.","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. <i>Nature Mental Health</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s44220-024-00315-0\">https://doi.org/10.1038/s44220-024-00315-0</a>"},"month":"10","publication_status":"published","author":[{"first_name":"Maja","full_name":"Neidhart, Maja","last_name":"Neidhart"},{"last_name":"Kjelkenes","full_name":"Kjelkenes, Rikka","first_name":"Rikka"},{"last_name":"Jansone","full_name":"Jansone, Karina","first_name":"Karina"},{"last_name":"Rehák Bučková","full_name":"Rehák Bučková, Barbora","first_name":"Barbora"},{"full_name":"Holz, Nathalie","first_name":"Nathalie","last_name":"Holz"},{"full_name":"Nees, Frauke","first_name":"Frauke","last_name":"Nees"},{"last_name":"Walter","first_name":"Henrik","full_name":"Walter, Henrik"},{"first_name":"Gunter","full_name":"Schumann, Gunter","last_name":"Schumann"},{"last_name":"Rapp","first_name":"Michael A.","full_name":"Rapp, Michael A."},{"last_name":"Banaschewski","first_name":"Tobias","full_name":"Banaschewski, Tobias"},{"last_name":"Schwarz","full_name":"Schwarz, 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Yanting","last_name":"Gong"},{"full_name":"Jia, Tianye","first_name":"Tianye","last_name":"Jia"},{"full_name":"Renner, Paul","first_name":"Paul","last_name":"Renner"},{"last_name":"Hese","full_name":"Hese, Sören","first_name":"Sören"},{"last_name":"Giner","full_name":"Giner, Arantxa","first_name":"Arantxa"},{"last_name":"Sanchez","first_name":"Mavi","full_name":"Sanchez, Mavi"},{"last_name":"Alvarez","full_name":"Alvarez, Elena","first_name":"Elena"},{"last_name":"Spanlang","first_name":"Bernhard","full_name":"Spanlang, Bernhard"},{"full_name":"Pearmund, Charlie","first_name":"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"},{"full_name":"Jirsa, 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Meer","first_name":"Dennis","full_name":"Van Der Meer, Dennis"},{"last_name":"Westlye","full_name":"Westlye, Lars T.","first_name":"Lars T."},{"full_name":"Andreassen, Ole A.","first_name":"Ole A.","last_name":"Andreassen"},{"last_name":"Aden","first_name":"Rieke","full_name":"Aden, Rieke"},{"full_name":"Seefried, Beke","first_name":"Beke","last_name":"Seefried"},{"last_name":"Siehl","full_name":"Siehl, Sebastian","first_name":"Sebastian"},{"first_name":"Frauke","full_name":"Nees, Frauke","last_name":"Nees"},{"first_name":"Argyris","full_name":"Stringaris, Argyris","last_name":"Stringaris"},{"last_name":"Tost","full_name":"Tost, Heike","first_name":"Heike"},{"first_name":"Andreas","full_name":"Meyer-Lindenberg, Andreas","last_name":"Meyer-Lindenberg"},{"last_name":"Christmann","full_name":"Christmann, Nina","first_name":"Nina"},{"first_name":"Jamie","full_name":"Banks, Jamie","last_name":"Banks"},{"last_name":"Schepanski","first_name":"Kerstin","full_name":"Schepanski, Kerstin"},{"last_name":"Schütz","first_name":"Tatjana","full_name":"Schütz, Tatjana"},{"first_name":"Ulrike Helene","full_name":"Taron, Ulrike Helene","last_name":"Taron"},{"last_name":"Eils","first_name":"Roland","full_name":"Eils, Roland"},{"full_name":"Roy, Jean Charles","first_name":"Jean Charles","last_name":"Roy"},{"full_name":"Lett, Tristram A.","first_name":"Tristram A.","last_name":"Lett"},{"last_name":"Kebir","full_name":"Kebir, Hedi","first_name":"Hedi"},{"first_name":"Elli","full_name":"Polemiti, Elli","last_name":"Polemiti"},{"first_name":"Esther","full_name":"Hitchen, Esther","last_name":"Hitchen"},{"last_name":"Jentsch","full_name":"Jentsch, Marcel","first_name":"Marcel"},{"first_name":"Emin","full_name":"Serin, Emin","last_name":"Serin"},{"last_name":"Bernas","first_name":"Antoine","full_name":"Bernas, Antoine"},{"last_name":"Vaidya","full_name":"Vaidya, Nilakshi","first_name":"Nilakshi"},{"first_name":"Sven","full_name":"Twardziok, Sven","last_name":"Twardziok"},{"full_name":"Ralser, Markus","first_name":"Markus","last_name":"Ralser"},{"first_name":"Andreas","full_name":"Heinz, Andreas","last_name":"Heinz"}],"type":"journal_article","quality_controlled":"1","fulldoi":"https://doi.org/10.1038/s44220-024-00315-0","OA_type":"closed access","day":"01","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).","year":"2024","doi":"10.1038/s44220-024-00315-0","volume":2,"abstract":[{"text":"This Comment presents a high-level protocol for data harmonization within large cohorts, in which it postulates four main steps including (1) expert review, (2) pre-statistical harmonization, (3) statistical harmonization, and (4) validation.","lang":"eng"}],"publication":"Nature Mental Health","page":"1134-1137","publisher":"Springer Nature","publication_identifier":{"eissn":["2731-6076"]},"department":[{"_id":"GaNo"}],"_id":"20039","scopus_import":"1","title":"A protocol for data harmonization in large cohorts","intvolume":"         2","date_published":"2024-10-01T00:00:00Z","article_type":"comment"},{"publication_status":"published","author":[{"full_name":"Zeng, Guifang","first_name":"Guifang","last_name":"Zeng"},{"full_name":"Sun, Qing","first_name":"Qing","last_name":"Sun"},{"id":"03a7e858-01b1-11ec-8b71-99ae6c4a05bc","last_name":"Horta","first_name":"Sharona","full_name":"Horta, Sharona"},{"last_name":"Wang","full_name":"Wang, Shang","first_name":"Shang"},{"full_name":"Lu, Xuan","first_name":"Xuan","last_name":"Lu"},{"full_name":"Zhang, Chao Yue","first_name":"Chao Yue","last_name":"Zhang"},{"full_name":"Li, Jing","first_name":"Jing","last_name":"Li"},{"last_name":"Li","first_name":"Junshan","full_name":"Li, Junshan"},{"last_name":"Ci","first_name":"Lijie","full_name":"Ci, Lijie"},{"last_name":"Tian","full_name":"Tian, Yanhong","first_name":"Yanhong"},{"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"}],"type":"other_academic_publication","quality_controlled":"1","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"mla":"Zeng, Guifang, et al. “A Layered Bi2Te3@PPy Cathode for Aqueous Zinc‐Ion Batteries: Mechanism and Application in Printed Flexible Batteries.” <i>Advanced Materials</i>, vol. 36, no. 1, 2470004, Wiley, 2024, doi:<a href=\"https://doi.org/10.1002/adma.202470004\">10.1002/adma.202470004</a>.","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.","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.","ama":"Zeng G, Sun Q, Horta S, et al. <i>A Layered Bi2Te3@PPy Cathode for Aqueous Zinc‐Ion Batteries: Mechanism and Application in Printed Flexible Batteries</i>. Vol 36. Wiley; 2024. doi:<a href=\"https://doi.org/10.1002/adma.202470004\">10.1002/adma.202470004</a>","apa":"Zeng, G., Sun, Q., Horta, S., Wang, S., Lu, X., Zhang, C. Y., … Cabot, A. (2024). <i>A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries</i>. <i>Advanced Materials</i> (Vol. 36). Wiley. <a href=\"https://doi.org/10.1002/adma.202470004\">https://doi.org/10.1002/adma.202470004</a>","ieee":"G. Zeng <i>et al.</i>, <i>A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries</i>, vol. 36, no. 1. Wiley, 2024.","chicago":"Zeng, Guifang, Qing Sun, Sharona Horta, Shang Wang, Xuan Lu, Chao Yue Zhang, Jing Li, et al. <i>A Layered Bi2Te3@PPy Cathode for Aqueous Zinc‐Ion Batteries: Mechanism and Application in Printed Flexible Batteries</i>. <i>Advanced Materials</i>. Vol. 36. Wiley, 2024. <a href=\"https://doi.org/10.1002/adma.202470004\">https://doi.org/10.1002/adma.202470004</a>."},"oa_version":"Published Version","month":"01","date_updated":"2026-06-18T18:19:28Z","date_created":"2025-07-21T08:53:06Z","status":"public","ddc":["530"],"OA_place":"publisher","language":[{"iso":"eng"}],"issue":"1","title":"A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries","article_number":"2470004","intvolume":"        36","date_published":"2024-01-04T00:00:00Z","publication_identifier":{"eissn":["1521-4095"],"issn":["0935-9648"]},"oa":1,"department":[{"_id":"MaIb"}],"_id":"20057","main_file_link":[{"url":"https://doi.org/10.1002/adma.202470004","open_access":"1"}],"publication":"Advanced Materials","publisher":"Wiley","fulldoi":"https://doi.org/10.1002/adma.202470004","day":"04","OA_type":"free access","doi":"10.1002/adma.202470004","year":"2024","volume":36,"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."}]},{"date_updated":"2025-09-30T14:14:42Z","date_created":"2025-08-05T06:49:59Z","publisher":"Zenodo","main_file_link":[{"open_access":"1","url":"https://doi.org/10.5281/zenodo.7137151"}],"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."}],"ddc":["570"],"related_material":{"record":[{"status":"public","id":"20056","relation":"used_for_analysis_in"}]},"has_accepted_license":"1","year":"2024","doi":"10.5281/ZENODO.7137151","status":"public","fulldoi":"https://doi.org/10.5281/ZENODO.7137151","acknowledgement":"This study was partially funded by Science and Engineering Research Board, Department of Science and Technology, Government of India to Vishwesha Guttal.","day":"18","date_published":"2024-09-18T00:00:00Z","title":"PyDaddy: A Python Package for Discovering SDEs from Time Series Data","author":[{"last_name":"Nabeel","full_name":"Nabeel, Arshed","first_name":"Arshed"},{"full_name":"Karichannavar, Ashwin","first_name":"Ashwin","last_name":"Karichannavar"},{"last_name":"Palathingal","first_name":"Shuaib","full_name":"Palathingal, Shuaib"},{"last_name":"Jhawar","full_name":"Jhawar, Jitesh","first_name":"Jitesh"},{"last_name":"Brückner","id":"e1e86031-6537-11eb-953a-f7ab92be508d","orcid":"0000-0001-7205-2975","full_name":"Brückner, David","first_name":"David"},{"first_name":"Masila","full_name":"Danny Raj, Masila","last_name":"Danny Raj"},{"first_name":"Vishwesha","full_name":"Guttal, Vishwesha","last_name":"Guttal"}],"type":"research_data_reference","_id":"20121","month":"09","citation":{"apa":"Nabeel, A., Karichannavar, A., Palathingal, S., Jhawar, J., Brückner, D., Danny Raj, M., &#38; Guttal, V. (2024). PyDaddy: A Python Package for Discovering SDEs from Time Series Data. Zenodo. <a href=\"https://doi.org/10.5281/ZENODO.7137151\">https://doi.org/10.5281/ZENODO.7137151</a>","ieee":"A. Nabeel <i>et al.</i>, “PyDaddy: A Python Package for Discovering SDEs from Time Series Data.” Zenodo, 2024.","ama":"Nabeel A, Karichannavar A, Palathingal S, et al. PyDaddy: A Python Package for Discovering SDEs from Time Series Data. 2024. doi:<a href=\"https://doi.org/10.5281/ZENODO.7137151\">10.5281/ZENODO.7137151</a>","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. <a href=\"https://doi.org/10.5281/ZENODO.7137151\">https://doi.org/10.5281/ZENODO.7137151</a>.","mla":"Nabeel, Arshed, et al. <i>PyDaddy: A Python Package for Discovering SDEs from Time Series Data</i>. Zenodo, 2024, doi:<a href=\"https://doi.org/10.5281/ZENODO.7137151\">10.5281/ZENODO.7137151</a>.","short":"A. Nabeel, A. Karichannavar, S. Palathingal, J. Jhawar, D. Brückner, M. Danny Raj, V. Guttal, (2024).","ista":"Nabeel A, Karichannavar A, Palathingal S, Jhawar J, Brückner D, Danny Raj M, Guttal V. 2024. PyDaddy: A Python Package for Discovering SDEs from Time Series Data, Zenodo, <a href=\"https://doi.org/10.5281/ZENODO.7137151\">10.5281/ZENODO.7137151</a>."},"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"oa_version":"Published Version","department":[{"_id":"EdHa"}],"oa":1,"article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"month":"10","citation":{"ama":"Desrivières S, Miller A, Mathey CM, et al. Multi-omics analyses of the environMENTAL project provide insights into mental health and disease. <i>Nature Mental Health</i>. 2024;2(10):1131-1133. doi:<a href=\"https://doi.org/10.1038/s44220-024-00317-y\">10.1038/s44220-024-00317-y</a>","ieee":"S. Desrivières <i>et al.</i>, “Multi-omics analyses of the environMENTAL project provide insights into mental health and disease,” <i>Nature Mental Health</i>, vol. 2, no. 10. Springer Nature, pp. 1131–1133, 2024.","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. <i>Nature Mental Health</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s44220-024-00317-y\">https://doi.org/10.1038/s44220-024-00317-y</a>","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.” <i>Nature Mental Health</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1038/s44220-024-00317-y\">https://doi.org/10.1038/s44220-024-00317-y</a>.","mla":"Desrivières, Sylvane, et al. “Multi-Omics Analyses of the EnvironMENTAL Project Provide Insights into Mental Health and Disease.” <i>Nature Mental Health</i>, vol. 2, no. 10, Springer Nature, 2024, pp. 1131–33, doi:<a href=\"https://doi.org/10.1038/s44220-024-00317-y\">10.1038/s44220-024-00317-y</a>.","short":"S. Desrivières, A. Miller, C.M. Mathey, X. Yu, D. Chen, K. Agunbiade, S. Heilmann-Heimbach, A.J. Forstner, G. Schumann, P. Hoffmann, M.M. Nöthen, G. Ogoh, B. Stahl, A.H. Young, N. Clinton, P. Thompson, A. Schwalber, J. Liu, V. Calhoun, X. Chang, Y. Xia, Y. Gong, T. Jia, P. Renner, S. Hese, A. Giner, M. Sanchez, E. Alvarez, B. Spanlang, C. Pearmund, A.P. Athanasiadis, L. Otten, S. Pitel, S. Petkoski, V. Jirsa, K. Schmitt, J. Wilbertz, M. Patraskaki, P. Sommer, I. Claus, A. Pastor, J. Gallego, F.E. Orosa, G.F. Viapiana, M. Slater, L. Marr, G. Novarino, A. Marquand, S.J. Böttger, M. Tschorn, M. Rapp, H. Ask, R. Kjelkenes, S. Fernandez, D. Van Der Meer, L.T. Westlye, O.A. Andreassen, R. Aden, B. Seefried, S. Siehl, F. Nees, M. Neidhart, A. Stringaris, E. Schwarz, N. Holz, H. Tost, A. Meyer-Lindenberg, N. Christmann, K. Jansone, T. Banaschewski, J. Banks, K. Schepanski, T. Schütz, U.H. Taron, R. Eils, J.C. Roy, T.A. Lett, H. Kebir, E. Polemiti, E. Hitchen, M. Jentsch, E. Serin, A. Bernas, N. Vaidya, S. Twardziok, M. Ralser, A. Heinz, H. Walter, Nature Mental Health 2 (2024) 1131–1133.","ista":"Desrivières S, Miller A, Mathey CM, Yu X, Chen D, Agunbiade K, Heilmann-Heimbach S, Forstner AJ, Schumann G, Hoffmann P, Nöthen MM, Ogoh G, Stahl B, Young AH, Clinton N, Thompson P, Schwalber A, Liu J, Calhoun V, Chang X, Xia Y, Gong Y, Jia T, Renner P, Hese S, Giner A, Sanchez M, Alvarez E, Spanlang B, Pearmund C, Athanasiadis AP, Otten L, Pitel S, Petkoski S, Jirsa V, Schmitt K, Wilbertz J, Patraskaki M, Sommer P, Claus I, Pastor A, Gallego J, Orosa FE, Viapiana GF, Slater M, Marr L, Novarino G, Marquand A, Böttger SJ, Tschorn M, Rapp M, Ask H, Kjelkenes R, Fernandez S, Van Der Meer D, Westlye LT, Andreassen OA, Aden R, Seefried B, Siehl S, Nees F, Neidhart M, Stringaris A, Schwarz E, Holz N, Tost H, Meyer-Lindenberg A, Christmann N, Jansone K, Banaschewski T, Banks J, Schepanski K, Schütz T, Taron UH, Eils R, Roy JC, Lett TA, Kebir H, Polemiti E, Hitchen E, Jentsch M, Serin E, Bernas A, Vaidya N, Twardziok S, Ralser M, Heinz A, Walter H. 2024. Multi-omics analyses of the environMENTAL project provide insights into mental health and disease. Nature Mental Health. 2(10), 1131–1133."},"oa_version":"None","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","quality_controlled":"1","type":"journal_article","author":[{"last_name":"Desrivières","first_name":"Sylvane","full_name":"Desrivières, Sylvane"},{"full_name":"Miller, Abigail","first_name":"Abigail","last_name":"Miller"},{"first_name":"Carina M.","full_name":"Mathey, Carina M.","last_name":"Mathey"},{"last_name":"Yu","first_name":"Xinyang","full_name":"Yu, Xinyang"},{"first_name":"Di","full_name":"Chen, Di","last_name":"Chen"},{"full_name":"Agunbiade, Kofoworola","first_name":"Kofoworola","last_name":"Agunbiade"},{"last_name":"Heilmann-Heimbach","full_name":"Heilmann-Heimbach, Stefanie","first_name":"Stefanie"},{"full_name":"Forstner, Andreas J.","first_name":"Andreas J.","last_name":"Forstner"},{"full_name":"Schumann, Gunter","first_name":"Gunter","last_name":"Schumann"},{"last_name":"Hoffmann","first_name":"Per","full_name":"Hoffmann, Per"},{"last_name":"Nöthen","first_name":"Markus M.","full_name":"Nöthen, Markus M."},{"first_name":"George","full_name":"Ogoh, George","last_name":"Ogoh"},{"first_name":"Bernd","full_name":"Stahl, Bernd","last_name":"Stahl"},{"last_name":"Young","full_name":"Young, Allan H.","first_name":"Allan H."},{"first_name":"Nicholas","full_name":"Clinton, Nicholas","last_name":"Clinton"},{"full_name":"Thompson, Paul","first_name":"Paul","last_name":"Thompson"},{"full_name":"Schwalber, Ameli","first_name":"Ameli","last_name":"Schwalber"},{"full_name":"Liu, Jingyu","first_name":"Jingyu","last_name":"Liu"},{"full_name":"Calhoun, Vince","first_name":"Vince","last_name":"Calhoun"},{"first_name":"Xiao","full_name":"Chang, Xiao","last_name":"Chang"},{"last_name":"Xia","full_name":"Xia, Yunman","first_name":"Yunman"},{"full_name":"Gong, Yanting","first_name":"Yanting","last_name":"Gong"},{"last_name":"Jia","first_name":"Tianye","full_name":"Jia, Tianye"},{"first_name":"Paul","full_name":"Renner, Paul","last_name":"Renner"},{"last_name":"Hese","full_name":"Hese, Sören","first_name":"Sören"},{"last_name":"Giner","full_name":"Giner, Arantxa","first_name":"Arantxa"},{"first_name":"Mavi","full_name":"Sanchez, Mavi","last_name":"Sanchez"},{"last_name":"Alvarez","full_name":"Alvarez, Elena","first_name":"Elena"},{"last_name":"Spanlang","first_name":"Bernhard","full_name":"Spanlang, Bernhard"},{"first_name":"Charlie","full_name":"Pearmund, Charlie","last_name":"Pearmund"},{"first_name":"Anastasios Polykarpos","full_name":"Athanasiadis, Anastasios Polykarpos","last_name":"Athanasiadis"},{"full_name":"Otten, Lisa","first_name":"Lisa","last_name":"Otten"},{"first_name":"Séverine","full_name":"Pitel, Séverine","last_name":"Pitel"},{"last_name":"Petkoski","first_name":"Spase","full_name":"Petkoski, Spase"},{"last_name":"Jirsa","first_name":"Viktor","full_name":"Jirsa, Viktor"},{"last_name":"Schmitt","full_name":"Schmitt, Karen","first_name":"Karen"},{"first_name":"Johannes","full_name":"Wilbertz, Johannes","last_name":"Wilbertz"},{"last_name":"Patraskaki","full_name":"Patraskaki, Myrto","first_name":"Myrto"},{"last_name":"Sommer","first_name":"Peter","full_name":"Sommer, Peter"},{"last_name":"Claus","full_name":"Claus, Isabelle","first_name":"Isabelle"},{"full_name":"Pastor, Alvaro","first_name":"Alvaro","last_name":"Pastor"},{"last_name":"Gallego","full_name":"Gallego, Jaime","first_name":"Jaime"},{"full_name":"Orosa, Francisco Eiroa","first_name":"Francisco Eiroa","last_name":"Orosa"},{"full_name":"Viapiana, Guillem Feixas","first_name":"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"},{"orcid":"0000-0002-7673-7178","last_name":"Novarino","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","full_name":"Novarino, Gaia","first_name":"Gaia"},{"first_name":"Andre","full_name":"Marquand, Andre","last_name":"Marquand"},{"last_name":"Böttger","first_name":"Sarah Jane","full_name":"Böttger, Sarah Jane"},{"full_name":"Tschorn, Mira","first_name":"Mira","last_name":"Tschorn"},{"full_name":"Rapp, Michael","first_name":"Michael","last_name":"Rapp"},{"first_name":"Helga","full_name":"Ask, Helga","last_name":"Ask"},{"last_name":"Kjelkenes","full_name":"Kjelkenes, Rikka","first_name":"Rikka"},{"last_name":"Fernandez","first_name":"Sara","full_name":"Fernandez, Sara"},{"last_name":"Van Der Meer","first_name":"Dennis","full_name":"Van Der Meer, Dennis"},{"full_name":"Westlye, Lars T.","first_name":"Lars T.","last_name":"Westlye"},{"last_name":"Andreassen","full_name":"Andreassen, Ole A.","first_name":"Ole A."},{"last_name":"Aden","first_name":"Rieke","full_name":"Aden, Rieke"},{"last_name":"Seefried","full_name":"Seefried, Beke","first_name":"Beke"},{"last_name":"Siehl","full_name":"Siehl, Sebastian","first_name":"Sebastian"},{"last_name":"Nees","first_name":"Frauke","full_name":"Nees, Frauke"},{"last_name":"Neidhart","full_name":"Neidhart, Maja","first_name":"Maja"},{"last_name":"Stringaris","full_name":"Stringaris, Argyris","first_name":"Argyris"},{"full_name":"Schwarz, Emanuel","first_name":"Emanuel","last_name":"Schwarz"},{"full_name":"Holz, Nathalie","first_name":"Nathalie","last_name":"Holz"},{"last_name":"Tost","first_name":"Heike","full_name":"Tost, Heike"},{"full_name":"Meyer-Lindenberg, Andreas","first_name":"Andreas","last_name":"Meyer-Lindenberg"},{"last_name":"Christmann","full_name":"Christmann, Nina","first_name":"Nina"},{"last_name":"Jansone","first_name":"Karina","full_name":"Jansone, Karina"},{"last_name":"Banaschewski","full_name":"Banaschewski, Tobias","first_name":"Tobias"},{"first_name":"Jamie","full_name":"Banks, Jamie","last_name":"Banks"},{"full_name":"Schepanski, Kerstin","first_name":"Kerstin","last_name":"Schepanski"},{"last_name":"Schütz","first_name":"Tatjana","full_name":"Schütz, Tatjana"},{"full_name":"Taron, Ulrike Helene","first_name":"Ulrike Helene","last_name":"Taron"},{"last_name":"Eils","first_name":"Roland","full_name":"Eils, Roland"},{"first_name":"Jean Charles","full_name":"Roy, Jean Charles","last_name":"Roy"},{"full_name":"Lett, Tristram A.","first_name":"Tristram A.","last_name":"Lett"},{"last_name":"Kebir","full_name":"Kebir, Hedi","first_name":"Hedi"},{"last_name":"Polemiti","first_name":"Elli","full_name":"Polemiti, Elli"},{"last_name":"Hitchen","first_name":"Esther","full_name":"Hitchen, Esther"},{"last_name":"Jentsch","first_name":"Marcel","full_name":"Jentsch, Marcel"},{"last_name":"Serin","first_name":"Emin","full_name":"Serin, Emin"},{"last_name":"Bernas","full_name":"Bernas, Antoine","first_name":"Antoine"},{"last_name":"Vaidya","full_name":"Vaidya, Nilakshi","first_name":"Nilakshi"},{"first_name":"Sven","full_name":"Twardziok, Sven","last_name":"Twardziok"},{"full_name":"Ralser, Markus","first_name":"Markus","last_name":"Ralser"},{"first_name":"Andreas","full_name":"Heinz, Andreas","last_name":"Heinz"},{"full_name":"Walter, Henrik","first_name":"Henrik","last_name":"Walter"}],"publication_status":"published","issue":"10","language":[{"iso":"eng"}],"status":"public","date_created":"2025-08-10T22:01:30Z","date_updated":"2025-08-11T06:44:03Z","_id":"20156","department":[{"_id":"GaNo"}],"publication_identifier":{"eissn":["2731-6076"]},"article_type":"comment","date_published":"2024-10-01T00:00:00Z","intvolume":"         2","scopus_import":"1","title":"Multi-omics analyses of the environMENTAL project provide insights into mental health and disease","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."}],"volume":2,"year":"2024","doi":"10.1038/s44220-024-00317-y","OA_type":"closed access","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.","day":"01","fulldoi":"https://doi.org/10.1038/s44220-024-00317-y","publisher":"Springer Nature","publication":"Nature Mental Health","page":"1131-1133"},{"_id":"20157","publication_identifier":{"eissn":["2731-6076"]},"department":[{"_id":"GaNo"}],"article_type":"comment","date_published":"2024-10-01T00:00:00Z","article_number":"1128-1130","intvolume":"         2","scopus_import":"1","title":"Rethinking ethics in interdisciplinary and big data-driven neuroscience projects","volume":2,"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).","OA_type":"closed access","day":"01","fulldoi":"https://doi.org/10.1038/s44220-024-00320-3","year":"2024","doi":"10.1038/s44220-024-00320-3","publisher":"Springer Nature","publication":"Nature Mental Health","oa_version":"None","citation":{"ieee":"B. Stahl <i>et al.</i>, “Rethinking ethics in interdisciplinary and big data-driven neuroscience projects,” <i>Nature Mental Health</i>, vol. 2, no. 10. Springer Nature, 2024.","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. <i>Nature Mental Health</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s44220-024-00320-3\">https://doi.org/10.1038/s44220-024-00320-3</a>","ama":"Stahl B, Ogoh G, Schumann G, et al. Rethinking ethics in interdisciplinary and big data-driven neuroscience projects. <i>Nature Mental Health</i>. 2024;2(10). doi:<a href=\"https://doi.org/10.1038/s44220-024-00320-3\">10.1038/s44220-024-00320-3</a>","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.” <i>Nature Mental Health</i>. Springer Nature, 2024. <a href=\"https://doi.org/10.1038/s44220-024-00320-3\">https://doi.org/10.1038/s44220-024-00320-3</a>.","mla":"Stahl, Bernd, et al. “Rethinking Ethics in Interdisciplinary and Big Data-Driven Neuroscience Projects.” <i>Nature Mental Health</i>, vol. 2, no. 10, 1128–1130, Springer Nature, 2024, doi:<a href=\"https://doi.org/10.1038/s44220-024-00320-3\">10.1038/s44220-024-00320-3</a>.","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).","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."},"month":"10","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","quality_controlled":"1","publication_status":"published","type":"journal_article","author":[{"full_name":"Stahl, Bernd","first_name":"Bernd","last_name":"Stahl"},{"first_name":"George","full_name":"Ogoh, George","last_name":"Ogoh"},{"full_name":"Schumann, Gunter","first_name":"Gunter","last_name":"Schumann"},{"last_name":"Walter","first_name":"Henrik","full_name":"Walter, Henrik"},{"full_name":"Stahl, Bernd","first_name":"Bernd","last_name":"Stahl"},{"last_name":"Young","full_name":"Young, Allan H.","first_name":"Allan H."},{"last_name":"Desrivières","full_name":"Desrivières, Sylvane","first_name":"Sylvane"},{"first_name":"Nicholas","full_name":"Clinton, Nicholas","last_name":"Clinton"},{"first_name":"Paul","full_name":"Thompson, Paul","last_name":"Thompson"},{"last_name":"Schwalber","full_name":"Schwalber, Ameli","first_name":"Ameli"},{"first_name":"Jingyu","full_name":"Liu, Jingyu","last_name":"Liu"},{"last_name":"Calhoun","first_name":"Vince","full_name":"Calhoun, Vince"},{"full_name":"Chang, Xiao","first_name":"Xiao","last_name":"Chang"},{"first_name":"Yunman","full_name":"Xia, Yunman","last_name":"Xia"},{"full_name":"Gong, Yanting","first_name":"Yanting","last_name":"Gong"},{"first_name":"Tianye","full_name":"Jia, Tianye","last_name":"Jia"},{"last_name":"Renner","full_name":"Renner, Paul","first_name":"Paul"},{"full_name":"Hese, Sören","first_name":"Sören","last_name":"Hese"},{"full_name":"Giner, Arantxa","first_name":"Arantxa","last_name":"Giner"},{"last_name":"Sanchez","full_name":"Sanchez, Mavi","first_name":"Mavi"},{"first_name":"Elena","full_name":"Alvarez, Elena","last_name":"Alvarez"},{"full_name":"Spanlang, Bernhard","first_name":"Bernhard","last_name":"Spanlang"},{"full_name":"Pearmund, Charlie","first_name":"Charlie","last_name":"Pearmund"},{"last_name":"Athanasiadis","first_name":"Anastasios Polykarpos","full_name":"Athanasiadis, Anastasios Polykarpos"},{"first_name":"Lisa","full_name":"Otten, Lisa","last_name":"Otten"},{"last_name":"Pitel","first_name":"Séverine","full_name":"Pitel, Séverine"},{"first_name":"Spase","full_name":"Petkoski, Spase","last_name":"Petkoski"},{"last_name":"Jirsa","full_name":"Jirsa, Viktor","first_name":"Viktor"},{"first_name":"Karen","full_name":"Schmitt, Karen","last_name":"Schmitt"},{"first_name":"Johannes","full_name":"Wilbertz, Johannes","last_name":"Wilbertz"},{"full_name":"Patraskaki, Myrto","first_name":"Myrto","last_name":"Patraskaki"},{"last_name":"Sommer","first_name":"Peter","full_name":"Sommer, Peter"},{"full_name":"Heilmann-Heimbach, Stefanie","first_name":"Stefanie","last_name":"Heilmann-Heimbach"},{"last_name":"Mathey","full_name":"Mathey, Carina M.","first_name":"Carina M."},{"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"},{"full_name":"Forstner, Andreas J.","first_name":"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"},{"last_name":"Viapiana","first_name":"Guillem Feixas","full_name":"Viapiana, Guillem Feixas"},{"last_name":"Slater","full_name":"Slater, Mel","first_name":"Mel"},{"full_name":"Marr, Lena","first_name":"Lena","last_name":"Marr","id":"4406F586-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Novarino","id":"3E57A680-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-7673-7178","full_name":"Novarino, Gaia","first_name":"Gaia"},{"full_name":"Marquand, Andre","first_name":"Andre","last_name":"Marquand"},{"first_name":"Sarah Jane","full_name":"Böttger, Sarah Jane","last_name":"Böttger"},{"full_name":"Tschorn, Mira","first_name":"Mira","last_name":"Tschorn"},{"last_name":"Rapp","first_name":"Michael","full_name":"Rapp, Michael"},{"last_name":"Ask","first_name":"Helga","full_name":"Ask, Helga"},{"last_name":"Kjelkenes","first_name":"Rikka","full_name":"Kjelkenes, Rikka"},{"full_name":"Fernandez, Sara","first_name":"Sara","last_name":"Fernandez"},{"last_name":"Van Der Meer","full_name":"Van Der Meer, Dennis","first_name":"Dennis"},{"last_name":"Westlye","first_name":"Lars T.","full_name":"Westlye, Lars T."},{"first_name":"Ole A.","full_name":"Andreassen, Ole A.","last_name":"Andreassen"},{"first_name":"Rieke","full_name":"Aden, Rieke","last_name":"Aden"},{"last_name":"Seefried","first_name":"Beke","full_name":"Seefried, Beke"},{"full_name":"Siehl, Sebastian","first_name":"Sebastian","last_name":"Siehl"},{"last_name":"Nees","first_name":"Frauke","full_name":"Nees, Frauke"},{"full_name":"Neidhart, Maja","first_name":"Maja","last_name":"Neidhart"},{"first_name":"Argyris","full_name":"Stringaris, Argyris","last_name":"Stringaris"},{"last_name":"Schwarz","first_name":"Emanuel","full_name":"Schwarz, Emanuel"},{"full_name":"Holz, Nathalie","first_name":"Nathalie","last_name":"Holz"},{"full_name":"Tost, Heike","first_name":"Heike","last_name":"Tost"},{"full_name":"Meyer-Lindenberg, Andreas","first_name":"Andreas","last_name":"Meyer-Lindenberg"},{"last_name":"Christmann","full_name":"Christmann, Nina","first_name":"Nina"},{"first_name":"Karina","full_name":"Jansone, Karina","last_name":"Jansone"},{"last_name":"Banaschewski","full_name":"Banaschewski, Tobias","first_name":"Tobias"},{"last_name":"Banks","full_name":"Banks, Jamie","first_name":"Jamie"},{"last_name":"Schepanski","first_name":"Kerstin","full_name":"Schepanski, Kerstin"},{"first_name":"Tatjana","full_name":"Schütz, Tatjana","last_name":"Schütz"},{"last_name":"Taron","full_name":"Taron, Ulrike Helene","first_name":"Ulrike Helene"},{"first_name":"Roland","full_name":"Eils, Roland","last_name":"Eils"},{"last_name":"Roy","full_name":"Roy, Jean Charles","first_name":"Jean Charles"},{"last_name":"Lett","first_name":"Tristram A.","full_name":"Lett, Tristram A."},{"full_name":"Kebir, Hedi","first_name":"Hedi","last_name":"Kebir"},{"last_name":"Polemiti","full_name":"Polemiti, Elli","first_name":"Elli"},{"first_name":"Esther","full_name":"Hitchen, Esther","last_name":"Hitchen"},{"last_name":"Jentsch","full_name":"Jentsch, Marcel","first_name":"Marcel"},{"last_name":"Serin","full_name":"Serin, Emin","first_name":"Emin"},{"last_name":"Bernas","full_name":"Bernas, Antoine","first_name":"Antoine"},{"last_name":"Vaidya","first_name":"Nilakshi","full_name":"Vaidya, Nilakshi"},{"last_name":"Twardziok","full_name":"Twardziok, Sven","first_name":"Sven"},{"first_name":"Markus","full_name":"Ralser, Markus","last_name":"Ralser"},{"first_name":"Andreas","full_name":"Heinz, Andreas","last_name":"Heinz"},{"last_name":"Walter","first_name":"Henrik","full_name":"Walter, Henrik"}],"language":[{"iso":"eng"}],"issue":"10","status":"public","date_updated":"2025-08-11T06:53:55Z","date_created":"2025-08-10T22:01:30Z"},{"date_published":"2024-07-01T00:00:00Z","article_type":"original","scopus_import":"1","title":"Effect of ion irradiation on superconducting thin films","article_number":"071101","intvolume":"        12","_id":"17235","department":[{"_id":"AnHi"}],"oa":1,"publication_identifier":{"eissn":["2166-532X"]},"external_id":{"isi":["001260942200003"]},"publication":"APL Materials","publisher":"AIP Publishing","ec_funded":1,"abstract":[{"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.","lang":"eng"}],"volume":12,"project":[{"_id":"260C2330-B435-11E9-9278-68D0E5697425","name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411","call_identifier":"H2020"}],"year":"2024","doi":"10.1063/5.0202851","fulldoi":"https://doi.org/10.1063/5.0202851","day":"01","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).","quality_controlled":"1","file_date_updated":"2024-07-16T06:30:30Z","author":[{"last_name":"Kohopää","full_name":"Kohopää, Katja","first_name":"Katja"},{"full_name":"Ronzani, Alberto","first_name":"Alberto","last_name":"Ronzani"},{"full_name":"Jabdaraghi, Robab Najafi","first_name":"Robab Najafi","last_name":"Jabdaraghi"},{"full_name":"Bera, Arijit","first_name":"Arijit","last_name":"Bera"},{"last_name":"Ribeiro","first_name":"Mário","full_name":"Ribeiro, Mário"},{"full_name":"Hazra, Dibyendu","first_name":"Dibyendu","last_name":"Hazra"},{"last_name":"Senior","id":"5479D234-2D30-11EA-89CC-40953DDC885E","orcid":"0000-0002-0672-9295","full_name":"Senior, Jorden L","first_name":"Jorden L"},{"first_name":"Mika","full_name":"Prunnila, Mika","last_name":"Prunnila"},{"first_name":"Joonas","full_name":"Govenius, Joonas","last_name":"Govenius"},{"last_name":"Lehtinen","full_name":"Lehtinen, Janne S.","first_name":"Janne S."},{"full_name":"Kemppinen, Antti","first_name":"Antti","last_name":"Kemppinen"}],"type":"journal_article","publication_status":"published","month":"07","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"oa_version":"Published Version","citation":{"mla":"Kohopää, Katja, et al. “Effect of Ion Irradiation on Superconducting Thin Films.” <i>APL Materials</i>, vol. 12, no. 7, 071101, AIP Publishing, 2024, doi:<a href=\"https://doi.org/10.1063/5.0202851\">10.1063/5.0202851</a>.","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.","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).","ieee":"K. Kohopää <i>et al.</i>, “Effect of ion irradiation on superconducting thin films,” <i>APL Materials</i>, vol. 12, no. 7. AIP Publishing, 2024.","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. <i>APL Materials</i>. AIP Publishing. <a href=\"https://doi.org/10.1063/5.0202851\">https://doi.org/10.1063/5.0202851</a>","ama":"Kohopää K, Ronzani A, Jabdaraghi RN, et al. Effect of ion irradiation on superconducting thin films. <i>APL Materials</i>. 2024;12(7). doi:<a href=\"https://doi.org/10.1063/5.0202851\">10.1063/5.0202851</a>","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.” <i>APL Materials</i>. AIP Publishing, 2024. <a href=\"https://doi.org/10.1063/5.0202851\">https://doi.org/10.1063/5.0202851</a>."},"article_processing_charge":"Yes","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_created":"2024-07-14T22:01:11Z","date_updated":"2025-09-08T08:10:58Z","file":[{"relation":"main_file","date_updated":"2024-07-16T06:30:30Z","date_created":"2024-07-16T06:30:30Z","success":1,"file_name":"2024_APLMaterial_Kohopaa.pdf","creator":"dernst","checksum":"32a5cdf0ea9c937f806b6039f3219917","content_type":"application/pdf","file_id":"17244","access_level":"open_access","file_size":9408198}],"issue":"7","isi":1,"ddc":["530"],"language":[{"iso":"eng"}],"has_accepted_license":"1","status":"public","acknowledged_ssus":[{"_id":"EM-Fac"}]},{"_id":"17291","corr_author":"1","publication_identifier":{"issn":["1090-7807"]},"oa":1,"department":[{"_id":"PaSc"}],"date_published":"2024-07-01T00:00:00Z","article_type":"original","title":"MAS NMR experiments of corynebacterial cell walls: Complementary 1H- and CPMAS CryoProbe-enhanced 13C-detected experiments","scopus_import":"1","intvolume":"       364","article_number":"107708","volume":364,"abstract":[{"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.","lang":"eng"}],"fulldoi":"https://doi.org/10.1016/j.jmr.2024.107708","OA_type":"hybrid","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.","day":"01","doi":"10.1016/j.jmr.2024.107708","year":"2024","external_id":{"isi":["001259302800001"],"pmid":["38901173"]},"publication":"Journal of Magnetic Resonance","publisher":"Elsevier","pmid":1,"citation":{"ieee":"A. Vallet <i>et al.</i>, “MAS NMR experiments of corynebacterial cell walls: Complementary 1H- and CPMAS CryoProbe-enhanced 13C-detected experiments,” <i>Journal of Magnetic Resonance</i>, vol. 364. Elsevier, 2024.","apa":"Vallet, A., Ayala, I., Perrone, B., Hassan, A., Simorre, J.-P., Bougault, C., &#38; Schanda, P. (2024). MAS NMR experiments of corynebacterial cell walls: Complementary 1H- and CPMAS CryoProbe-enhanced 13C-detected experiments. <i>Journal of Magnetic Resonance</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jmr.2024.107708\">https://doi.org/10.1016/j.jmr.2024.107708</a>","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. <i>Journal of Magnetic Resonance</i>. 2024;364. doi:<a href=\"https://doi.org/10.1016/j.jmr.2024.107708\">10.1016/j.jmr.2024.107708</a>","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.” <i>Journal of Magnetic Resonance</i>. Elsevier, 2024. <a href=\"https://doi.org/10.1016/j.jmr.2024.107708\">https://doi.org/10.1016/j.jmr.2024.107708</a>.","mla":"Vallet, Alicia, et al. “MAS NMR Experiments of Corynebacterial Cell Walls: Complementary 1H- and CPMAS CryoProbe-Enhanced 13C-Detected Experiments.” <i>Journal of Magnetic Resonance</i>, vol. 364, 107708, Elsevier, 2024, doi:<a href=\"https://doi.org/10.1016/j.jmr.2024.107708\">10.1016/j.jmr.2024.107708</a>.","short":"A. Vallet, I. Ayala, B. Perrone, A. Hassan, J.-P. Simorre, C. Bougault, P. Schanda, Journal of Magnetic Resonance 364 (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."},"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"oa_version":"Published Version","month":"07","article_processing_charge":"Yes (via OA deal)","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","file_date_updated":"2024-07-23T06:23:51Z","quality_controlled":"1","publication_status":"published","author":[{"last_name":"Vallet","first_name":"Alicia","full_name":"Vallet, Alicia"},{"last_name":"Ayala","full_name":"Ayala, Isabel","first_name":"Isabel"},{"last_name":"Perrone","first_name":"Barbara","full_name":"Perrone, Barbara"},{"last_name":"Hassan","full_name":"Hassan, Alia","first_name":"Alia"},{"last_name":"Simorre","first_name":"Jean-Pierre","full_name":"Simorre, Jean-Pierre"},{"last_name":"Bougault","first_name":"Catherine","full_name":"Bougault, Catherine"},{"first_name":"Paul","full_name":"Schanda, Paul","orcid":"0000-0002-9350-7606","id":"7B541462-FAF6-11E9-A490-E8DFE5697425","last_name":"Schanda"}],"type":"journal_article","language":[{"iso":"eng"}],"ddc":["570"],"related_material":{"record":[{"id":"17042","relation":"research_data","status":"public"}]},"OA_place":"publisher","isi":1,"has_accepted_license":"1","status":"public","date_created":"2024-07-22T07:44:10Z","date_updated":"2025-09-09T12:01:41Z","file":[{"file_size":2236665,"access_level":"open_access","file_id":"17316","content_type":"application/pdf","checksum":"4b59f4f0c287ecbafd808da1212ced38","file_name":"2024_JourMagneticResonance_Vallet.pdf","creator":"dernst","success":1,"date_created":"2024-07-23T06:23:51Z","date_updated":"2024-07-23T06:23:51Z","relation":"main_file"}]},{"type":"research_data","author":[{"orcid":"0000-0001-6395-386X","id":"455235B8-F248-11E8-B48F-1D18A9856A87","last_name":"Surendranadh","first_name":"Parvathy","full_name":"Surendranadh, Parvathy"},{"full_name":"Sachdeva, Himani","first_name":"Himani","last_name":"Sachdeva"}],"title":"Mathematica notebook for 'Effect of assortative mating and sexual selection on polygenic barriers to gene flow'","file_date_updated":"2024-07-29T13:51:11Z","date_published":"2024-07-01T00:00:00Z","department":[{"_id":"GradSch"},{"_id":"NiBa"}],"oa":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","_id":"17344","month":"07","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"oa_version":"Published Version","citation":{"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. <a href=\"https://doi.org/10.15479/AT:ISTA:17344\">https://doi.org/10.15479/AT:ISTA:17344</a>.","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.","apa":"Surendranadh, P., &#38; 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. <a href=\"https://doi.org/10.15479/AT:ISTA:17344\">https://doi.org/10.15479/AT:ISTA:17344</a>","ama":"Surendranadh P, Sachdeva H. Mathematica notebook for “Effect of assortative mating and sexual selection on polygenic barriers to gene flow.” 2024. doi:<a href=\"https://doi.org/10.15479/AT:ISTA:17344\">10.15479/AT:ISTA:17344</a>","short":"P. Surendranadh, H. Sachdeva, (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, <a href=\"https://doi.org/10.15479/AT:ISTA:17344\">10.15479/AT:ISTA:17344</a>.","mla":"Surendranadh, Parvathy, and Himani Sachdeva. <i>Mathematica Notebook for “Effect of Assortative Mating and Sexual Selection on Polygenic Barriers to Gene Flow.”</i> Institute of Science and Technology Austria, 2024, doi:<a href=\"https://doi.org/10.15479/AT:ISTA:17344\">10.15479/AT:ISTA:17344</a>."},"file":[{"file_size":726132,"access_level":"open_access","file_id":"17345","content_type":"application/octet-stream","checksum":"75bdbc7ad7cc6afe4459bc4a8824a302","file_name":"Submission.nb","creator":"psurendr","success":1,"date_created":"2024-07-29T13:51:11Z","relation":"main_file","date_updated":"2024-07-29T13:51:11Z"}],"publisher":"Institute of Science and Technology Austria","date_created":"2024-07-29T14:01:43Z","date_updated":"2025-01-14T13:02:59Z","status":"public","has_accepted_license":"1","doi":"10.15479/AT:ISTA:17344","year":"2024","acknowledged_ssus":[{"_id":"ScienComp"}],"fulldoi":"https://doi.org/10.15479/AT:ISTA:17344","abstract":[{"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. ","lang":"eng"}],"ddc":["576"]},{"page":"391-422","external_id":{"pmid":["39488384"]},"publication":"Methods in Enzymology","publisher":"Elsevier","pmid":1,"fulldoi":"https://doi.org/10.1016/bs.mie.2024.07.051","OA_type":"closed access","day":"13","doi":"10.1016/bs.mie.2024.07.051","year":"2024","volume":707,"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."}],"scopus_import":"1","title":"Generation of TIM chaperone substrate complexes","intvolume":"       707","date_published":"2024-09-13T00:00:00Z","corr_author":"1","publication_identifier":{"issn":["0076-6879"]},"department":[{"_id":"PaSc"}],"_id":"18167","date_created":"2024-10-01T10:58:27Z","date_updated":"2025-10-22T06:40:54Z","status":"public","language":[{"iso":"eng"}],"publication_status":"published","author":[{"first_name":"Undina","full_name":"Guillerm, Undina","id":"bb74f472-ae54-11eb-9835-bc9c22fb1183","last_name":"Guillerm"},{"full_name":"Sučec, Iva","first_name":"Iva","last_name":"Sučec"},{"orcid":"0000-0002-9350-7606","last_name":"Schanda","id":"7B541462-FAF6-11E9-A490-E8DFE5697425","full_name":"Schanda, Paul","first_name":"Paul"}],"type":"book_chapter","quality_controlled":"1","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","oa_version":"None","citation":{"chicago":"Guillerm, Undina, Iva Sučec, and Paul Schanda. “Generation of TIM Chaperone Substrate Complexes.” In <i>Methods in Enzymology</i>, 707:391–422. Elsevier, 2024. <a href=\"https://doi.org/10.1016/bs.mie.2024.07.051\">https://doi.org/10.1016/bs.mie.2024.07.051</a>.","ama":"Guillerm U, Sučec I, Schanda P. Generation of TIM chaperone substrate complexes. In: <i>Methods in Enzymology</i>. Vol 707. Elsevier; 2024:391-422. doi:<a href=\"https://doi.org/10.1016/bs.mie.2024.07.051\">10.1016/bs.mie.2024.07.051</a>","apa":"Guillerm, U., Sučec, I., &#38; Schanda, P. (2024). Generation of TIM chaperone substrate complexes. In <i>Methods in Enzymology</i> (Vol. 707, pp. 391–422). Elsevier. <a href=\"https://doi.org/10.1016/bs.mie.2024.07.051\">https://doi.org/10.1016/bs.mie.2024.07.051</a>","ieee":"U. Guillerm, I. Sučec, and P. Schanda, “Generation of TIM chaperone substrate complexes,” in <i>Methods in Enzymology</i>, vol. 707, Elsevier, 2024, pp. 391–422.","short":"U. Guillerm, I. Sučec, P. Schanda, in:, Methods in Enzymology, 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.” <i>Methods in Enzymology</i>, vol. 707, Elsevier, 2024, pp. 391–422, doi:<a href=\"https://doi.org/10.1016/bs.mie.2024.07.051\">10.1016/bs.mie.2024.07.051</a>."},"month":"09"},{"type":"preprint","author":[{"full_name":"Hoffmann, Charlotte","first_name":"Charlotte","last_name":"Hoffmann","id":"0f78d746-dc7d-11ea-9b2f-83f92091afe7","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"}],"publication_status":"draft","cryptoeprintid":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","month":"02","citation":{"mla":"Hoffmann, Charlotte, et al. “Practical Batch Proofs of Exponentiation.” <i>Cryptology EPrint Archive</i>, 2024/145, International Association for Cryptologic Research.","ista":"Hoffmann C, Hubáček P, Ivanova S. Practical batch proofs of exponentiation. Cryptology ePrint Archive, 2024/145.","short":"C. Hoffmann, P. Hubáček, S. Ivanova, Cryptology EPrint Archive (n.d.).","ieee":"C. Hoffmann, P. Hubáček, and S. Ivanova, “Practical batch proofs of exponentiation,” <i>Cryptology ePrint Archive</i>. International Association for Cryptologic Research.","apa":"Hoffmann, C., Hubáček, P., &#38; Ivanova, S. (n.d.). Practical batch proofs of exponentiation. <i>Cryptology ePrint Archive</i>. International Association for Cryptologic Research.","ama":"Hoffmann C, Hubáček P, Ivanova S. Practical batch proofs of exponentiation. <i>Cryptology ePrint Archive</i>.","chicago":"Hoffmann, Charlotte, Pavel Hubáček, and Svetlana Ivanova. “Practical Batch Proofs of Exponentiation.” <i>Cryptology EPrint Archive</i>. International Association for Cryptologic Research, n.d."},"tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"oa_version":"Preprint","date_created":"2025-11-27T10:13:38Z","date_updated":"2026-07-06T13:15:28Z","status":"public","related_material":{"record":[{"relation":"dissertation_contains","id":"20920","status":"public"},{"status":"public","id":"20556","relation":"dissertation_contains"}]},"OA_place":"repository","language":[{"iso":"eng"}],"article_number":"2024/145","title":"Practical batch proofs of exponentiation","date_published":"2024-02-02T00:00:00Z","oa":1,"department":[{"_id":"KrPi"}],"corr_author":"1","_id":"20701","main_file_link":[{"open_access":"1","url":"https://eprint.iacr.org/2024/145"}],"publisher":"International Association for Cryptologic Research","external_id":{"cryptoeprintid":["2024/145"]},"publication":"Cryptology ePrint Archive","das_tickbox":"1","year":"2024","OA_type":"green","day":"02","acknowledgement":"Pavel Hubáček was supported by the Institute of Mathematics, Czech Academy of Sciences (RVO 67985840).","abstract":[{"lang":"eng","text":"A Proof of Exponentiation (PoE) allows a prover to efficiently convince a verifier that 𝑦 = 𝑥\r\n𝑒\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."}]},{"language":[{"iso":"eng"}],"OA_place":"repository","related_material":{"record":[{"relation":"dissertation_contains","id":"19393","status":"public"},{"id":"21009","relation":"later_version","status":"public"}]},"status":"public","date_created":"2025-03-20T07:48:23Z","date_updated":"2026-07-29T08:59:31Z","month":"08","oa_version":"Preprint","citation":{"apa":"Karle, V., Lemeshko, M., Bouhon, A., Slager, R.-J., &#38; Ünal, F. N. (n.d.). Anomalous multi-gap topological phases in periodically driven quantum  rotors. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2408.16848\">https://doi.org/10.48550/arXiv.2408.16848</a>","ieee":"V. Karle, M. Lemeshko, A. Bouhon, R.-J. Slager, and F. N. Ünal, “Anomalous multi-gap topological phases in periodically driven quantum  rotors,” <i>arXiv</i>. .","ama":"Karle V, Lemeshko M, Bouhon A, Slager R-J, Ünal FN. Anomalous multi-gap topological phases in periodically driven quantum  rotors. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2408.16848\">10.48550/arXiv.2408.16848</a>","chicago":"Karle, Volker, Mikhail Lemeshko, Adrien Bouhon, Robert-Jan Slager, and F. Nur Ünal. “Anomalous Multi-Gap Topological Phases in Periodically Driven Quantum  Rotors.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2408.16848\">https://doi.org/10.48550/arXiv.2408.16848</a>.","mla":"Karle, Volker, et al. “Anomalous Multi-Gap Topological Phases in Periodically Driven Quantum  Rotors.” <i>ArXiv</i>, 2408.16848, doi:<a href=\"https://doi.org/10.48550/arXiv.2408.16848\">10.48550/arXiv.2408.16848</a>.","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.","short":"V. Karle, M. Lemeshko, A. Bouhon, R.-J. Slager, F.N. Ünal, ArXiv (n.d.)."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","type":"preprint","author":[{"last_name":"Karle","id":"D7C012AE-D7ED-11E9-95E8-1EC5E5697425","orcid":"0000-0002-6963-0129","full_name":"Karle, Volker","first_name":"Volker"},{"full_name":"Lemeshko, Mikhail","first_name":"Mikhail","orcid":"0000-0002-6990-7802","last_name":"Lemeshko","id":"37CB05FA-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Bouhon","first_name":"Adrien","full_name":"Bouhon, Adrien"},{"last_name":"Slager","first_name":"Robert-Jan","full_name":"Slager, Robert-Jan"},{"last_name":"Ünal","first_name":"F. Nur","full_name":"Ünal, F. Nur"}],"publication_status":"draft","ec_funded":1,"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. "}],"project":[{"_id":"2688CF98-B435-11E9-9278-68D0E5697425","name":"Angulon: physics and applications of a new quasiparticle","grant_number":"801770","call_identifier":"H2020"}],"year":"2024","doi":"10.48550/arXiv.2408.16848","day":"29","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.","OA_type":"green","fulldoi":"https://doi.org/10.48550/arXiv.2408.16848","arxiv":1,"external_id":{"arxiv":["2408.16848"]},"publication":"arXiv","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2408.16848","open_access":"1"}],"_id":"19425","oa":1,"department":[{"_id":"MiLe"}],"date_published":"2024-08-29T00:00:00Z","article_number":"2408.16848","title":"Anomalous multi-gap topological phases in periodically driven quantum  rotors"},{"quality_controlled":"1","file_date_updated":"2025-02-18T07:56:36Z","author":[{"first_name":"Timothy D","full_name":"Browning, Timothy D","id":"35827D50-F248-11E8-B48F-1D18A9856A87","last_name":"Browning","orcid":"0000-0002-8314-0177"}],"type":"journal_article","publication_status":"published","month":"07","oa_version":"Published Version","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"citation":{"ista":"Browning TD. 2024. The polynomial sieve and equal sums of like polynomials. International Mathematics Research Notices. 2024(13), 10165–10168.","short":"T.D. Browning, International Mathematics Research Notices 2024 (2024) 10165–10168.","mla":"Browning, Timothy D. “The Polynomial Sieve and Equal Sums of like Polynomials.” <i>International Mathematics Research Notices</i>, vol. 2024, no. 13, Oxford University Press, 2024, pp. 10165–68, doi:<a href=\"https://doi.org/10.1093/imrn/rnae066\">10.1093/imrn/rnae066</a>.","chicago":"Browning, Timothy D. “The Polynomial Sieve and Equal Sums of like Polynomials.” <i>International Mathematics Research Notices</i>. Oxford University Press, 2024. <a href=\"https://doi.org/10.1093/imrn/rnae066\">https://doi.org/10.1093/imrn/rnae066</a>.","ama":"Browning TD. The polynomial sieve and equal sums of like polynomials. <i>International Mathematics Research Notices</i>. 2024;2024(13):10165-10168. doi:<a href=\"https://doi.org/10.1093/imrn/rnae066\">10.1093/imrn/rnae066</a>","apa":"Browning, T. D. (2024). The polynomial sieve and equal sums of like polynomials. <i>International Mathematics Research Notices</i>. Oxford University Press. <a href=\"https://doi.org/10.1093/imrn/rnae066\">https://doi.org/10.1093/imrn/rnae066</a>","ieee":"T. D. Browning, “The polynomial sieve and equal sums of like polynomials,” <i>International Mathematics Research Notices</i>, vol. 2024, no. 13. Oxford University Press, pp. 10165–10168, 2024."},"article_processing_charge":"Yes (via OA deal)","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","date_created":"2025-02-18T07:15:50Z","date_updated":"2026-07-29T09:59:57Z","file":[{"file_id":"19052","file_size":205750,"access_level":"open_access","file_name":"2024_IMRN_Browning.pdf","creator":"dernst","success":1,"date_updated":"2025-02-18T07:56:36Z","relation":"main_file","date_created":"2025-02-18T07:56:36Z","content_type":"application/pdf","checksum":"b625b8adf018d2a97591813c1fc17b96"}],"issue":"13","isi":1,"ddc":["510"],"OA_place":"publisher","language":[{"iso":"eng"}],"related_material":{"record":[{"id":"254","relation":"earlier_version","status":"public"}]},"has_accepted_license":"1","status":"public","date_published":"2024-07-01T00:00:00Z","article_type":"original","scopus_import":"1","title":"The polynomial sieve and equal sums of like polynomials","intvolume":"      2024","researchdata_availability":"no","_id":"19051","department":[{"_id":"TiBr"}],"oa":1,"corr_author":"1","publication_identifier":{"eissn":["1687-0247"],"issn":["1073-7928"]},"external_id":{"isi":["001196957300001"]},"page":"10165-10168","supplementarymaterial":"no","publication":"International Mathematics Research Notices","publisher":"Oxford University Press","abstract":[{"lang":"eng","text":"This paper corrects an error in an earlier work of the author."}],"volume":2024,"year":"2024","das_tickbox":"0","doi":"10.1093/imrn/rnae066","fulldoi":"https://doi.org/10.1093/imrn/rnae066","OA_type":"hybrid","day":"01"}]