--- OA_place: repository OA_type: green _id: '18756' abstract: - lang: eng text: "The evasive LWE assumption, proposed by Wee [Eurocrypt’22 Wee] for constructing a lattice-based optimal broadcast encryption, has shown to be a powerful assumption, adopted by subsequent works to construct advanced primitives ranging from ABE variants to obfuscation for null circuits. However, a closer look reveals significant differences among the precise assumption statements involved in different works, leading to the fundamental question of how these assumptions compare to each other. In this work, we initiate a more systematic study on evasive LWE assumptions:\r\n(i) Based on the standard LWE assumption, we construct simple counterexamples against three private-coin evasive LWE variants, used in [Crypto’22 Tsabary, Asiacrypt’22 VWW, Crypto’23 ARYY] respectively, showing that these assumptions are unlikely to hold.\r\n\r\n(ii) Based on existing evasive LWE variants and our counterexamples, we propose and define three classes of plausible evasive LWE assumptions, suitably capturing all existing variants for which we are not aware of non-obfuscation-based counterexamples.\r\n\r\n(iii) We show that under our assumption formulations, the security proofs of [Asiacrypt’22 VWW] and [Crypto’23 ARYY] can be recovered, and we reason why the security proof of [Crypto’22 Tsabary] is also plausibly repairable using an appropriate evasive LWE assumption." acknowledgement: The authors thank the anonymous reviewers for insightful comments which very much improved this work, in particular, sharing with us the counterexamples against a prior version of Hiding Evasive LWE, and against public-coin Evasive LWE when the sampler inputs B. Chris Brzuska and Ivy K. Y. Woo are supported by Research Council of Finland grant 358950. We thank Russell W. F. Lai and Hoeteck Wee for helpful discussions. alternative_title: - LNCS article_processing_charge: No author: - first_name: Chris full_name: Brzuska, Chris last_name: Brzuska - first_name: Akin full_name: Ünal, Akin id: f6b56fb6-dc63-11ee-9dbf-f6780863a85a last_name: Ünal orcid: 0000-0002-8929-0221 - first_name: Ivy K.Y. full_name: Woo, Ivy K.Y. last_name: Woo citation: ama: 'Brzuska C, Ünal A, Woo IKY. Evasive LWE assumptions: Definitions, classes, and counterexamples. In: 30th International Conference on the Theory and Application of Cryptology and Information Security. Vol 15487. Springer Nature; 2024:418-449. doi:10.1007/978-981-96-0894-2_14' apa: 'Brzuska, C., Ünal, A., & Woo, I. K. Y. (2024). Evasive LWE assumptions: Definitions, classes, and counterexamples. In 30th International Conference on the Theory and Application of Cryptology and Information Security (Vol. 15487, pp. 418–449). Kolkata, India: Springer Nature. https://doi.org/10.1007/978-981-96-0894-2_14' chicago: 'Brzuska, Chris, Akin Ünal, and Ivy K.Y. Woo. “Evasive LWE Assumptions: Definitions, Classes, and Counterexamples.” In 30th International Conference on the Theory and Application of Cryptology and Information Security, 15487:418–49. Springer Nature, 2024. https://doi.org/10.1007/978-981-96-0894-2_14.' ieee: 'C. Brzuska, A. Ünal, and I. K. Y. Woo, “Evasive LWE assumptions: Definitions, classes, and counterexamples,” in 30th International Conference on the Theory and Application of Cryptology and Information Security, Kolkata, India, 2024, vol. 15487, pp. 418–449.' ista: 'Brzuska C, Ünal A, Woo IKY. 2024. Evasive LWE assumptions: Definitions, classes, and counterexamples. 30th International Conference on the Theory and Application of Cryptology and Information Security. ASIACRYPT: Conference on the Theory and Application of Cryptology and Information Security, LNCS, vol. 15487, 418–449.' mla: 'Brzuska, Chris, et al. “Evasive LWE Assumptions: Definitions, Classes, and Counterexamples.” 30th International Conference on the Theory and Application of Cryptology and Information Security, vol. 15487, Springer Nature, 2024, pp. 418–49, doi:10.1007/978-981-96-0894-2_14.' short: C. Brzuska, A. Ünal, I.K.Y. Woo, in:, 30th International Conference on the Theory and Application of Cryptology and Information Security, Springer Nature, 2024, pp. 418–449. conference: end_date: 2024-12-13 location: Kolkata, India name: 'ASIACRYPT: Conference on the Theory and Application of Cryptology and Information Security' start_date: 2024-12-09 date_created: 2025-01-05T23:01:56Z date_published: 2024-12-13T00:00:00Z date_updated: 2025-09-09T12:00:51Z day: '13' department: - _id: KrPi doi: 10.1007/978-981-96-0894-2_14 external_id: isi: - '001443890800014' fulldoi: https://doi.org/10.1007/978-981-96-0894-2_14 intvolume: ' 15487' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://eprint.iacr.org/2024/2000 month: '12' oa: 1 oa_version: Preprint page: 418-449 publication: 30th International Conference on the Theory and Application of Cryptology and Information Security publication_identifier: eissn: - 1611-3349 isbn: - '9789819608935' issn: - 0302-9743 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: 'Evasive LWE assumptions: Definitions, classes, and counterexamples' type: conference user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 15487 year: '2024' ... --- OA_type: closed access _id: '18867' abstract: - lang: eng text: 'In an accreting X-ray pulsar, a neutron star accretes matter from a companion star through an accretion disk. The magnetic field of the rotating neutron star disrupts the inner edge of the disk, funnelling the gas to flow onto the poles on its surface. Hercules X-1 is a prototypical persistent X-ray pulsar about 7 kpc from Earth. Its emission varies on three distinct timescales: the neutron star rotates every 1.2 s, it is eclipsed by its companion each 1.7 d, and the system exhibits a superorbital period of 35 d, which has remained stable since its discovery. Several lines of evidence point to the source of this variation as the precession of the accretion disk or that of the neutron star. Despite the many hints over the past 50 yr, the precession of the neutron star itself has yet not been confirmed or refuted. X-ray polarization measurements (probing the spin geometry of Her X-1) with the Imaging X-ray Polarimetry Explorer suggest that free precession of the neutron star crust sets the 35 d period; this has the important implication that its crust is somewhat asymmetric by a few parts per ten million.' article_processing_charge: No article_type: original author: - first_name: Jeremy full_name: Heyl, Jeremy last_name: Heyl - first_name: Victor full_name: Doroshenko, Victor last_name: Doroshenko - first_name: Denis full_name: González-Caniulef, Denis last_name: González-Caniulef - first_name: Ilaria full_name: Caiazzo, Ilaria id: 8ae5b6e7-2a03-11ee-914d-b58ed7a3b47d last_name: Caiazzo orcid: 0000-0002-4770-5388 - first_name: Juri full_name: Poutanen, Juri last_name: Poutanen - first_name: Alexander full_name: Mushtukov, Alexander last_name: Mushtukov - first_name: Sergey S. full_name: Tsygankov, Sergey S. last_name: Tsygankov - first_name: Demet full_name: Kirmizibayrak, Demet last_name: Kirmizibayrak - first_name: Matteo full_name: Bachetti, Matteo last_name: Bachetti - first_name: George G. full_name: Pavlov, George G. last_name: Pavlov - first_name: Sofia V. full_name: Forsblom, Sofia V. last_name: Forsblom - first_name: Christian full_name: Malacaria, Christian last_name: Malacaria - first_name: Valery F. full_name: Suleimanov, Valery F. last_name: Suleimanov - first_name: Iván full_name: Agudo, Iván last_name: Agudo - first_name: Lucio Angelo full_name: Antonelli, Lucio Angelo last_name: Antonelli - first_name: Luca full_name: Baldini, Luca last_name: Baldini - first_name: Wayne H. full_name: Baumgartner, Wayne H. last_name: Baumgartner - first_name: Ronaldo full_name: Bellazzini, Ronaldo last_name: Bellazzini - first_name: Stefano full_name: Bianchi, Stefano last_name: Bianchi - first_name: Stephen D. full_name: Bongiorno, Stephen D. last_name: Bongiorno - first_name: Raffaella full_name: Bonino, Raffaella last_name: Bonino - first_name: Alessandro full_name: Brez, Alessandro last_name: Brez - first_name: Niccolò full_name: Bucciantini, Niccolò last_name: Bucciantini - first_name: Fiamma full_name: Capitanio, Fiamma last_name: Capitanio - first_name: Simone full_name: Castellano, Simone last_name: Castellano - first_name: Elisabetta full_name: Cavazzuti, Elisabetta last_name: Cavazzuti - first_name: Chien-Ting full_name: Chen, Chien-Ting last_name: Chen - first_name: Stefano full_name: Ciprini, Stefano last_name: Ciprini - first_name: Enrico full_name: Costa, Enrico last_name: Costa - first_name: Alessandra full_name: De Rosa, Alessandra last_name: De Rosa - first_name: Ettore full_name: Del Monte, Ettore last_name: Del Monte - first_name: Laura full_name: Di Gesu, Laura last_name: Di Gesu - first_name: Niccolò full_name: Di Lalla, Niccolò last_name: Di Lalla - first_name: Alessandro full_name: Di Marco, Alessandro last_name: Di Marco - first_name: Immacolata full_name: Donnarumma, Immacolata last_name: Donnarumma - first_name: Michal full_name: Dovčiak, Michal last_name: Dovčiak - first_name: Steven R. full_name: Ehlert, Steven R. last_name: Ehlert - first_name: Teruaki full_name: Enoto, Teruaki last_name: Enoto - first_name: Yuri full_name: Evangelista, Yuri last_name: Evangelista - first_name: Sergio full_name: Fabiani, Sergio last_name: Fabiani - first_name: Riccardo full_name: Ferrazzoli, Riccardo last_name: Ferrazzoli - first_name: Javier A. full_name: Garcia, Javier A. last_name: Garcia - first_name: Shuichi full_name: Gunji, Shuichi last_name: Gunji - first_name: Kiyoshi full_name: Hayashida, Kiyoshi last_name: Hayashida - first_name: Wataru full_name: Iwakiri, Wataru last_name: Iwakiri - first_name: Svetlana G. full_name: Jorstad, Svetlana G. last_name: Jorstad - first_name: Philip full_name: Kaaret, Philip last_name: Kaaret - first_name: Vladimir full_name: Karas, Vladimir last_name: Karas - first_name: Fabian full_name: Kislat, Fabian last_name: Kislat - first_name: Takao full_name: Kitaguchi, Takao last_name: Kitaguchi - first_name: Jeffery J. full_name: Kolodziejczak, Jeffery J. last_name: Kolodziejczak - first_name: Henric full_name: Krawczynski, Henric last_name: Krawczynski - first_name: Fabio full_name: La Monaca, Fabio last_name: La Monaca - first_name: Luca full_name: Latronico, Luca last_name: Latronico - first_name: Ioannis full_name: Liodakis, Ioannis last_name: Liodakis - first_name: Simone full_name: Maldera, Simone last_name: Maldera - first_name: Alberto full_name: Manfreda, Alberto last_name: Manfreda - first_name: Frédéric full_name: Marin, Frédéric last_name: Marin - first_name: Andrea full_name: Marinucci, Andrea last_name: Marinucci - first_name: Alan P. full_name: Marscher, Alan P. last_name: Marscher - first_name: Herman L. full_name: Marshall, Herman L. last_name: Marshall - first_name: Francesco full_name: Massaro, Francesco last_name: Massaro - first_name: Giorgio full_name: Matt, Giorgio last_name: Matt - first_name: Ikuyuki full_name: Mitsuishi, Ikuyuki last_name: Mitsuishi - first_name: Tsunefumi full_name: Mizuno, Tsunefumi last_name: Mizuno - first_name: Fabio full_name: Muleri, Fabio last_name: Muleri - first_name: Michela full_name: Negro, Michela last_name: Negro - first_name: C.-Y. full_name: Ng, C.-Y. last_name: Ng - first_name: Stephen L. full_name: O’Dell, Stephen L. last_name: O’Dell - first_name: Nicola full_name: Omodei, Nicola last_name: Omodei - first_name: Chiara full_name: Oppedisano, Chiara last_name: Oppedisano - first_name: Alessandro full_name: Papitto, Alessandro last_name: Papitto - first_name: Abel Lawrence full_name: Peirson, Abel Lawrence last_name: Peirson - first_name: Matteo full_name: Perri, Matteo last_name: Perri - first_name: Melissa full_name: Pesce-Rollins, Melissa last_name: Pesce-Rollins - first_name: Pierre-Olivier full_name: Petrucci, Pierre-Olivier last_name: Petrucci - first_name: Maura full_name: Pilia, Maura last_name: Pilia - first_name: Andrea full_name: Possenti, Andrea last_name: Possenti - first_name: Simonetta full_name: Puccetti, Simonetta last_name: Puccetti - first_name: Brian D. full_name: Ramsey, Brian D. last_name: Ramsey - first_name: John full_name: Rankin, John last_name: Rankin - first_name: Ajay full_name: Ratheesh, Ajay last_name: Ratheesh - first_name: Oliver J. full_name: Roberts, Oliver J. last_name: Roberts - first_name: Roger W. full_name: Romani, Roger W. last_name: Romani - first_name: Carmelo full_name: Sgrò, Carmelo last_name: Sgrò - first_name: Patrick full_name: Slane, Patrick last_name: Slane - first_name: Paolo full_name: Soffitta, Paolo last_name: Soffitta - first_name: Gloria full_name: Spandre, Gloria last_name: Spandre - first_name: Douglas A. full_name: Swartz, Douglas A. last_name: Swartz - first_name: Toru full_name: Tamagawa, Toru last_name: Tamagawa - first_name: Fabrizio full_name: Tavecchio, Fabrizio last_name: Tavecchio - first_name: Roberto full_name: Taverna, Roberto last_name: Taverna - first_name: Yuzuru full_name: Tawara, Yuzuru last_name: Tawara - first_name: Allyn F. full_name: Tennant, Allyn F. last_name: Tennant - first_name: Nicholas E. full_name: Thomas, Nicholas E. last_name: Thomas - first_name: Francesco full_name: Tombesi, Francesco last_name: Tombesi - first_name: Alessio full_name: Trois, Alessio last_name: Trois - first_name: Roberto full_name: Turolla, Roberto last_name: Turolla - first_name: Jacco full_name: Vink, Jacco last_name: Vink - first_name: Martin C. full_name: Weisskopf, Martin C. last_name: Weisskopf - first_name: Kinwah full_name: Wu, Kinwah last_name: Wu - first_name: Fei full_name: Xie, Fei last_name: Xie - first_name: Silvia full_name: Zane, Silvia last_name: Zane citation: ama: Heyl J, Doroshenko V, González-Caniulef D, et al. Complex rotational dynamics of the neutron star in Hercules X-1 revealed by X-ray polarization. Nature Astronomy. 2024;8:1047-1053. doi:10.1038/s41550-024-02295-8 apa: Heyl, J., Doroshenko, V., González-Caniulef, D., Caiazzo, I., Poutanen, J., Mushtukov, A., … Zane, S. (2024). Complex rotational dynamics of the neutron star in Hercules X-1 revealed by X-ray polarization. Nature Astronomy. Springer Nature. https://doi.org/10.1038/s41550-024-02295-8 chicago: Heyl, Jeremy, Victor Doroshenko, Denis González-Caniulef, Ilaria Caiazzo, Juri Poutanen, Alexander Mushtukov, Sergey S. Tsygankov, et al. “Complex Rotational Dynamics of the Neutron Star in Hercules X-1 Revealed by X-Ray Polarization.” Nature Astronomy. Springer Nature, 2024. https://doi.org/10.1038/s41550-024-02295-8. ieee: J. Heyl et al., “Complex rotational dynamics of the neutron star in Hercules X-1 revealed by X-ray polarization,” Nature Astronomy, vol. 8. Springer Nature, pp. 1047–1053, 2024. ista: Heyl J et al. 2024. Complex rotational dynamics of the neutron star in Hercules X-1 revealed by X-ray polarization. Nature Astronomy. 8, 1047–1053. mla: Heyl, Jeremy, et al. “Complex Rotational Dynamics of the Neutron Star in Hercules X-1 Revealed by X-Ray Polarization.” Nature Astronomy, vol. 8, Springer Nature, 2024, pp. 1047–53, doi:10.1038/s41550-024-02295-8. short: J. Heyl, V. Doroshenko, D. González-Caniulef, I. Caiazzo, J. Poutanen, A. Mushtukov, S.S. Tsygankov, D. Kirmizibayrak, M. Bachetti, G.G. Pavlov, S.V. Forsblom, C. Malacaria, V.F. Suleimanov, I. Agudo, L.A. Antonelli, L. Baldini, W.H. Baumgartner, R. Bellazzini, S. Bianchi, S.D. Bongiorno, R. Bonino, A. Brez, N. Bucciantini, F. Capitanio, S. Castellano, E. Cavazzuti, C.-T. Chen, S. Ciprini, E. Costa, A. De Rosa, E. Del Monte, L. Di Gesu, N. Di Lalla, A. Di Marco, I. Donnarumma, M. Dovčiak, S.R. Ehlert, T. Enoto, Y. Evangelista, S. Fabiani, R. Ferrazzoli, J.A. Garcia, S. Gunji, K. Hayashida, W. Iwakiri, S.G. Jorstad, P. Kaaret, V. Karas, F. Kislat, T. Kitaguchi, J.J. Kolodziejczak, H. Krawczynski, F. La Monaca, L. Latronico, I. Liodakis, S. Maldera, A. Manfreda, F. Marin, A. Marinucci, A.P. Marscher, H.L. Marshall, F. Massaro, G. Matt, I. Mitsuishi, T. Mizuno, F. Muleri, M. Negro, C.-Y. Ng, S.L. O’Dell, N. Omodei, C. Oppedisano, A. Papitto, A.L. Peirson, M. Perri, M. Pesce-Rollins, P.-O. Petrucci, M. Pilia, A. Possenti, S. Puccetti, B.D. Ramsey, J. Rankin, A. Ratheesh, O.J. Roberts, R.W. Romani, C. Sgrò, P. Slane, P. Soffitta, G. Spandre, D.A. Swartz, T. Tamagawa, F. Tavecchio, R. Taverna, Y. Tawara, A.F. Tennant, N.E. Thomas, F. Tombesi, A. Trois, R. Turolla, J. Vink, M.C. Weisskopf, K. Wu, F. Xie, S. Zane, Nature Astronomy 8 (2024) 1047–1053. date_created: 2025-01-21T15:35:17Z date_published: 2024-08-01T00:00:00Z date_updated: 2025-01-27T10:52:16Z day: '01' doi: 10.1038/s41550-024-02295-8 extern: '1' fulldoi: https://doi.org/10.1038/s41550-024-02295-8 intvolume: ' 8' language: - iso: eng month: '08' oa_version: None page: 1047-1053 publication: Nature Astronomy publication_identifier: issn: - 2397-3366 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Complex rotational dynamics of the neutron star in Hercules X-1 revealed by X-ray polarization type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 8 year: '2024' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '18868' abstract: - lang: eng text: We develop two new highly efficient estimators to measure the polarization (Stokes parameters) in experiments that constrain the position angle of individual photons such as scattering and gas-pixel-detector polarimeters, and analyse in detail a previously proposed estimator. All three of these estimators are at least fifty percent more efficient on typical datasets than the standard estimator used in the field. We present analytic estimates of the variance of these estimators and numerical experiments to verify these estimates. Two of the three estimators can be calculated quickly and directly through summations over the measurements of individual photons. article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Jeremy full_name: Heyl, Jeremy last_name: Heyl - first_name: Denis full_name: González-Caniulef, Denis last_name: González-Caniulef - first_name: Ilaria full_name: Caiazzo, Ilaria id: 8ae5b6e7-2a03-11ee-914d-b58ed7a3b47d last_name: Caiazzo orcid: 0000-0002-4770-5388 citation: ama: Heyl J, González-Caniulef D, Caiazzo I. Optimal summary statistics for X-ray polarization. The Open Journal of Astrophysics. 2024;7. doi:10.33232/001c.117476 apa: Heyl, J., González-Caniulef, D., & Caiazzo, I. (2024). Optimal summary statistics for X-ray polarization. The Open Journal of Astrophysics. Maynooth Academic Publishing. https://doi.org/10.33232/001c.117476 chicago: Heyl, Jeremy, Denis González-Caniulef, and Ilaria Caiazzo. “Optimal Summary Statistics for X-Ray Polarization.” The Open Journal of Astrophysics. Maynooth Academic Publishing, 2024. https://doi.org/10.33232/001c.117476. ieee: J. Heyl, D. González-Caniulef, and I. Caiazzo, “Optimal summary statistics for X-ray polarization,” The Open Journal of Astrophysics, vol. 7. Maynooth Academic Publishing, 2024. ista: Heyl J, González-Caniulef D, Caiazzo I. 2024. Optimal summary statistics for X-ray polarization. The Open Journal of Astrophysics. 7. mla: Heyl, Jeremy, et al. “Optimal Summary Statistics for X-Ray Polarization.” The Open Journal of Astrophysics, vol. 7, Maynooth Academic Publishing, 2024, doi:10.33232/001c.117476. short: J. Heyl, D. González-Caniulef, I. Caiazzo, The Open Journal of Astrophysics 7 (2024). date_created: 2025-01-21T15:54:16Z date_published: 2024-05-01T00:00:00Z date_updated: 2025-01-27T10:48:19Z day: '01' doi: 10.33232/001c.117476 extern: '1' external_id: arxiv: - '2311.07805' fulldoi: https://doi.org/10.33232/001c.117476 intvolume: ' 7' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.33232/001c.117476 month: '05' oa: 1 oa_version: Published Version publication: The Open Journal of Astrophysics publication_identifier: issn: - 2565-6120 publication_status: published publisher: Maynooth Academic Publishing quality_controlled: '1' scopus_import: '1' status: public title: Optimal summary statistics for X-ray polarization type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 7 year: '2024' ... --- OA_place: publisher OA_type: gold _id: '18998' abstract: - lang: eng text: Word embeddings represent language vocabularies as clouds of d-dimensional points. We investigate how information is conveyed by the general shape of these clouds, instead of representing the semantic meaning of each token. Specifically, we use the notion of persistent homology from topological data analysis (TDA) to measure the distances between language pairs from the shape of their unlabeled embeddings. These distances quantify the degree of non-isometry of the embeddings. To distinguish whether these differences are random training errors or capture real information about the languages, we use the computed distance matrices to construct language phylogenetic trees over 81 Indo-European languages. Careful evaluation shows that our reconstructed trees exhibit strong and statistically-significant similarities to the reference. article_processing_charge: No arxiv: 1 author: - first_name: Ondrej full_name: Draganov, Ondrej id: 2B23F01E-F248-11E8-B48F-1D18A9856A87 last_name: Draganov orcid: 0000-0003-0464-3823 - first_name: Steven full_name: Skiena, Steven last_name: Skiena citation: ama: 'Draganov O, Skiena S. The shape of word embeddings: Quantifying non-isometry with topological data analysis. In: Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics; 2024:12080-12099. doi:10.18653/v1/2024.findings-emnlp.705' apa: 'Draganov, O., & Skiena, S. (2024). The shape of word embeddings: Quantifying non-isometry with topological data analysis. In Findings of the Association for Computational Linguistics: EMNLP 2024 (pp. 12080–12099). Miami, FL, United States: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-emnlp.705' chicago: 'Draganov, Ondrej, and Steven Skiena. “The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis.” In Findings of the Association for Computational Linguistics: EMNLP 2024, 12080–99. Association for Computational Linguistics, 2024. https://doi.org/10.18653/v1/2024.findings-emnlp.705.' ieee: 'O. Draganov and S. Skiena, “The shape of word embeddings: Quantifying non-isometry with topological data analysis,” in Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, FL, United States, 2024, pp. 12080–12099.' ista: 'Draganov O, Skiena S. 2024. The shape of word embeddings: Quantifying non-isometry with topological data analysis. Findings of the Association for Computational Linguistics: EMNLP 2024. EMNLP: Conference on Empirical Methods in Natural Language Processing, 12080–12099.' mla: 'Draganov, Ondrej, and Steven Skiena. “The Shape of Word Embeddings: Quantifying Non-Isometry with Topological Data Analysis.” Findings of the Association for Computational Linguistics: EMNLP 2024, Association for Computational Linguistics, 2024, pp. 12080–99, doi:10.18653/v1/2024.findings-emnlp.705.' short: 'O. Draganov, S. Skiena, in:, Findings of the Association for Computational Linguistics: EMNLP 2024, Association for Computational Linguistics, 2024, pp. 12080–12099.' conference: end_date: 2024-11-16 location: Miami, FL, United States name: 'EMNLP: Conference on Empirical Methods in Natural Language Processing' start_date: 2024-11-12 corr_author: '1' date_created: 2025-02-04T16:19:28Z date_published: 2024-11-01T00:00:00Z date_updated: 2025-02-10T08:21:37Z day: '01' ddc: - '500' department: - _id: GradSch - _id: HeEd doi: 10.18653/v1/2024.findings-emnlp.705 external_id: arxiv: - '2404.00500' file: - access_level: open_access checksum: f4416a5962194f0181ab0dc7f9ef93c0 content_type: application/pdf creator: dernst date_created: 2025-02-10T08:20:34Z date_updated: 2025-02-10T08:20:34Z file_id: '19016' file_name: 2024_EMNLP_Draganov.pdf file_size: 1312638 relation: main_file success: 1 file_date_updated: 2025-02-10T08:20:34Z fulldoi: https://doi.org/10.18653/v1/2024.findings-emnlp.705 has_accepted_license: '1' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '11' oa: 1 oa_version: Published Version page: 12080-12099 publication: 'Findings of the Association for Computational Linguistics: EMNLP 2024' publication_status: published publisher: Association for Computational Linguistics quality_controlled: '1' scopus_import: '1' status: public title: 'The shape of word embeddings: Quantifying non-isometry with topological data analysis' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_place: repository OA_type: green _id: '18999' abstract: - lang: eng text: Exploring the shape of point configurations has been a key driver in the evolution of TDA (short for topological data analysis) since its infancy. This survey illustrates the recent efforts to broaden these ideas to model spatial interactions among multiple configurations, each distinguished by a color. It describes advances in this area and prepares the ground for further exploration by mentioning unresolved questions and promising research avenues while focusing on the overlap with discrete geometry. article_number: '2406.04102' article_processing_charge: No arxiv: 1 author: - first_name: Sebastiano full_name: Cultrera di Montesano, Sebastiano id: 34D2A09C-F248-11E8-B48F-1D18A9856A87 last_name: Cultrera di Montesano orcid: 0000-0001-6249-0832 - first_name: Ondrej full_name: Draganov, Ondrej id: 2B23F01E-F248-11E8-B48F-1D18A9856A87 last_name: Draganov orcid: 0000-0003-0464-3823 - first_name: Herbert full_name: Edelsbrunner, Herbert id: 3FB178DA-F248-11E8-B48F-1D18A9856A87 last_name: Edelsbrunner orcid: 0000-0002-9823-6833 - first_name: Morteza full_name: Saghafian, Morteza id: f86f7148-b140-11ec-9577-95435b8df824 last_name: Saghafian citation: ama: Cultrera di Montesano S, Draganov O, Edelsbrunner H, Saghafian M. Chromatic topological data analysis. arXiv. doi:10.48550/ARXIV.2406.04102 apa: Cultrera di Montesano, S., Draganov, O., Edelsbrunner, H., & Saghafian, M. (n.d.). Chromatic topological data analysis. arXiv. https://doi.org/10.48550/ARXIV.2406.04102 chicago: Cultrera di Montesano, Sebastiano, Ondrej Draganov, Herbert Edelsbrunner, and Morteza Saghafian. “Chromatic Topological Data Analysis.” ArXiv, n.d. https://doi.org/10.48550/ARXIV.2406.04102. ieee: S. Cultrera di Montesano, O. Draganov, H. Edelsbrunner, and M. Saghafian, “Chromatic topological data analysis,” arXiv. . ista: Cultrera di Montesano S, Draganov O, Edelsbrunner H, Saghafian M. Chromatic topological data analysis. arXiv, 2406.04102. mla: Cultrera di Montesano, Sebastiano, et al. “Chromatic Topological Data Analysis.” ArXiv, 2406.04102, doi:10.48550/ARXIV.2406.04102. short: S. Cultrera di Montesano, O. Draganov, H. Edelsbrunner, M. Saghafian, ArXiv (n.d.). corr_author: '1' date_created: 2025-02-04T16:21:21Z date_published: 2024-06-06T00:00:00Z date_updated: 2025-02-10T08:14:27Z day: '06' ddc: - '510' department: - _id: GradSch - _id: HeEd doi: 10.48550/ARXIV.2406.04102 external_id: arxiv: - '2406.04102' fulldoi: https://doi.org/10.48550/ARXIV.2406.04102 has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2406.04102 month: '06' oa: 1 oa_version: Preprint publication: arXiv publication_status: submitted status: public title: Chromatic topological data analysis tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: preprint user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '19028' abstract: - lang: eng text: The stochastic nature of modern Monte Carlo (MC) rendering methods inevitably produces noise in rendered images for a practical number of samples per pixel. The problem of denoising these images has been widely studied, with most recent methods relying on data-driven, pretrained neural networks. In contrast, in this paper we propose a statistical approach to the denoising problem, treating each pixel as a random variable and reasoning about its distribution. Considering a pixel of the noisy rendered image, we formulate fast pair-wise statistical tests—based on online estimators—to decide which of the nearby pixels to exclude from the denoising filter. We show that for symmetric pixel weights and normally distributed samples, the classical Welch t-test is optimal in terms of mean squared error. We then show how to extend this result to handle non-normal distributions, using more recent confidence-interval formulations in combination with the Box-Cox transformation. Our results show that our statistical denoising approach matches the performance of state-of-the-art neural image denoising without having to resort to any computation-intensive pretraining. Furthermore, our approach easily generalizes to other quantities besides pixel intensity, which we demonstrate by showing additional applications to Russian roulette path termination and multiple importance sampling. acknowledgement: 'We would like to thank Lukas Lipp for fruitful discussions, Károly Zsolnai-Fehér and Jaroslav Křivánek for valuable contributions to early versions of this work, and Bernhard Kerbl for help with our CUDA implementation. Moreover, we would like to thank the creators of the scenes we have used: Wig42 for “Wooden Staircase” (Fig. 1), “Grey and White Room” (Fig. S6), and “Modern Living Room” (Fig. S8); nacimus for “Bathroom” (Fig. 3, S5); NovaZeeke for “Japanese Classroom” (Fig. 4, 6); Beeple for “Zero-Day” (Fig. 8); Jay-Artist for “White Room” (Fig. S7); Mareck for “Contemporary Bathroom” (Fig. 2); Christian Freude for “Glass Caustics” (Fig. S10); and Benedikt Bitterli for “Veach Ajar” (Fig. 7, S2), “Veach MIS” (Fig. S4), and “Fur Ball” (Fig. S11). This work has received funding from the Vienna Science and Technology Fund (WWTF) project ICT22-028 (“Toward Optimal Path Guiding for Photorealistic Rendering”) and the Austrian Science Fund (FWF) project F 77 (SFB “Advanced Computational Design”).' article_number: '68' article_processing_charge: Yes (in subscription journal) author: - first_name: Hiroyuki full_name: Sakai, Hiroyuki last_name: Sakai - first_name: Christian full_name: Freude, Christian last_name: Freude - first_name: Thomas full_name: Auzinger, Thomas id: 4718F954-F248-11E8-B48F-1D18A9856A87 last_name: Auzinger orcid: 0000-0002-1546-3265 - first_name: David full_name: Hahn, David id: 357A6A66-F248-11E8-B48F-1D18A9856A87 last_name: Hahn - first_name: Michael full_name: Wimmer, Michael last_name: Wimmer citation: ama: 'Sakai H, Freude C, Auzinger T, Hahn D, Wimmer M. A statistical approach to Monte Carlo denoising. In: Proceedings - SIGGRAPH Asia 2024 Conference Papers. Association for Computing Machinery; 2024. doi:10.1145/3680528.3687591' apa: 'Sakai, H., Freude, C., Auzinger, T., Hahn, D., & Wimmer, M. (2024). A statistical approach to Monte Carlo denoising. In Proceedings - SIGGRAPH Asia 2024 Conference Papers. Tokyo, Japan: Association for Computing Machinery. https://doi.org/10.1145/3680528.3687591' chicago: Sakai, Hiroyuki, Christian Freude, Thomas Auzinger, David Hahn, and Michael Wimmer. “A Statistical Approach to Monte Carlo Denoising.” In Proceedings - SIGGRAPH Asia 2024 Conference Papers. Association for Computing Machinery, 2024. https://doi.org/10.1145/3680528.3687591. ieee: H. Sakai, C. Freude, T. Auzinger, D. Hahn, and M. Wimmer, “A statistical approach to Monte Carlo denoising,” in Proceedings - SIGGRAPH Asia 2024 Conference Papers, Tokyo, Japan, 2024. ista: 'Sakai H, Freude C, Auzinger T, Hahn D, Wimmer M. 2024. A statistical approach to Monte Carlo denoising. Proceedings - SIGGRAPH Asia 2024 Conference Papers. SA: SIGGRAPH Asia, 68.' mla: Sakai, Hiroyuki, et al. “A Statistical Approach to Monte Carlo Denoising.” Proceedings - SIGGRAPH Asia 2024 Conference Papers, 68, Association for Computing Machinery, 2024, doi:10.1145/3680528.3687591. short: H. Sakai, C. Freude, T. Auzinger, D. Hahn, M. Wimmer, in:, Proceedings - SIGGRAPH Asia 2024 Conference Papers, Association for Computing Machinery, 2024. conference: end_date: 2024-12-06 location: Tokyo, Japan name: 'SA: SIGGRAPH Asia' start_date: 2024-12-03 date_created: 2025-02-16T23:02:34Z date_published: 2024-12-03T00:00:00Z date_updated: 2025-12-02T13:58:56Z day: '03' ddc: - '000' doi: 10.1145/3680528.3687591 external_id: isi: - '001441591200068' file: - access_level: open_access checksum: 89f63b9237224362ec33430af9152700 content_type: application/pdf creator: dernst date_created: 2025-04-15T12:53:24Z date_updated: 2025-04-15T12:53:24Z file_id: '19563' file_name: 2024_SIGGRAPH_Sakai.pdf file_size: 14791980 relation: main_file success: 1 file_date_updated: 2025-04-15T12:53:24Z fulldoi: https://doi.org/10.1145/3680528.3687591 has_accepted_license: '1' isi: 1 language: - iso: eng month: '12' oa: 1 oa_version: Published Version publication: Proceedings - SIGGRAPH Asia 2024 Conference Papers publication_identifier: isbn: - '9798400711312' publication_status: published publisher: Association for Computing Machinery quality_controlled: '1' scopus_import: '1' status: public title: A statistical approach to Monte Carlo denoising tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_place: publisher OA_type: diamond _id: '19408' abstract: - lang: eng text: 'Continual learning is a subfield of machine learning, which aims to allow machine learning models to continuously learn on new data, by accumulating knowledge without forgetting what was learned in the past. In this work, we take a step back, and ask: "Why should one care about continual learning in the first place?". We set the stage by examining recent continual learning papers published at four major machine learning conferences, and show that memory-constrained settings dominate the field. Then, we discuss five open problems in machine learning, and even though they might seem unrelated to continual learning at first sight, we show that continual learning will inevitably be part of their solution. These problems are model editing, personalization and specialization, on-device learning, faster (re-)training and reinforcement learning. Finally, by comparing the desiderata from these unsolved problems and the current assumptions in continual learning, we highlight and discuss four future directions for continual learning research. We hope that this work offers an interesting perspective on the future of continual learning, while displaying its potential value and the paths we have to pursue in order to make it successful. This work is the result of the many discussions the authors had at the Dagstuhl seminar on Deep Continual Learning, in March 2023.' alternative_title: - TMLR article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Eli full_name: Verwimp, Eli last_name: Verwimp - first_name: Rahaf full_name: Aljundi, Rahaf last_name: Aljundi - first_name: Shai full_name: Ben-David, Shai last_name: Ben-David - first_name: Matthias full_name: Bethge, Matthias last_name: Bethge - first_name: Andrea full_name: Cossu, Andrea last_name: Cossu - first_name: Alexander full_name: Gepperth, Alexander last_name: Gepperth - first_name: Tyler L. full_name: Hayes, Tyler L. last_name: Hayes - first_name: Eyke full_name: Hüllermeier, Eyke last_name: Hüllermeier - first_name: Christopher full_name: Kanan, Christopher last_name: Kanan - first_name: Dhireesha full_name: Kudithipudi, Dhireesha last_name: Kudithipudi - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 - first_name: Martin full_name: Mundt, Martin last_name: Mundt - first_name: Razvan full_name: Pascanu, Razvan last_name: Pascanu - first_name: Adrian full_name: Popescu, Adrian last_name: Popescu - first_name: Andreas S. full_name: Tolias, Andreas S. last_name: Tolias - first_name: Joost full_name: Van De Weijer, Joost last_name: Van De Weijer - first_name: Bing full_name: Liu, Bing last_name: Liu - first_name: Vincenzo full_name: Lomonaco, Vincenzo last_name: Lomonaco - first_name: Tinne full_name: Tuytelaars, Tinne last_name: Tuytelaars - first_name: Gido M. full_name: Van De Ven, Gido M. last_name: Van De Ven citation: ama: 'Verwimp E, Aljundi R, Ben-David S, et al. Continual learning: Applications and the road forward. Transactions on Machine Learning Research. 2024;2024.' apa: 'Verwimp, E., Aljundi, R., Ben-David, S., Bethge, M., Cossu, A., Gepperth, A., … Van De Ven, G. M. (2024). Continual learning: Applications and the road forward. Transactions on Machine Learning Research. Transactions on Machine Learning Research.' chicago: 'Verwimp, Eli, Rahaf Aljundi, Shai Ben-David, Matthias Bethge, Andrea Cossu, Alexander Gepperth, Tyler L. Hayes, et al. “Continual Learning: Applications and the Road Forward.” Transactions on Machine Learning Research. Transactions on Machine Learning Research, 2024.' ieee: 'E. Verwimp et al., “Continual learning: Applications and the road forward,” Transactions on Machine Learning Research, vol. 2024. Transactions on Machine Learning Research, 2024.' ista: 'Verwimp E, Aljundi R, Ben-David S, Bethge M, Cossu A, Gepperth A, Hayes TL, Hüllermeier E, Kanan C, Kudithipudi D, Lampert C, Mundt M, Pascanu R, Popescu A, Tolias AS, Van De Weijer J, Liu B, Lomonaco V, Tuytelaars T, Van De Ven GM. 2024. Continual learning: Applications and the road forward. Transactions on Machine Learning Research. 2024.' mla: 'Verwimp, Eli, et al. “Continual Learning: Applications and the Road Forward.” Transactions on Machine Learning Research, vol. 2024, Transactions on Machine Learning Research, 2024.' short: E. Verwimp, R. Aljundi, S. Ben-David, M. Bethge, A. Cossu, A. Gepperth, T.L. Hayes, E. Hüllermeier, C. Kanan, D. Kudithipudi, C. Lampert, M. Mundt, R. Pascanu, A. Popescu, A.S. Tolias, J. Van De Weijer, B. Liu, V. Lomonaco, T. Tuytelaars, G.M. Van De Ven, Transactions on Machine Learning Research 2024 (2024). date_created: 2025-03-16T23:01:25Z date_published: 2024-04-12T00:00:00Z date_updated: 2025-03-20T09:21:02Z day: '12' ddc: - '000' department: - _id: ChLa external_id: arxiv: - '2311.11908' file: - access_level: open_access checksum: 0714e12f7423cd098976ed9974561155 content_type: application/pdf creator: dernst date_created: 2025-03-20T09:02:18Z date_updated: 2025-03-20T09:02:18Z file_id: '19426' file_name: 2024_TMLR_Verwimp.pdf file_size: 1367966 relation: main_file success: 1 file_date_updated: 2025-03-20T09:02:18Z has_accepted_license: '1' intvolume: ' 2024' language: - iso: eng month: '04' oa: 1 oa_version: Published Version publication: Transactions on Machine Learning Research publication_identifier: eissn: - 2835-8856 publication_status: published publisher: Transactions on Machine Learning Research quality_controlled: '1' scopus_import: '1' status: public title: 'Continual learning: Applications and the road forward' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2024 year: '2024' ... --- OA_type: closed access _id: '19446' abstract: - lang: eng text: This Comment explores new approaches to enrich large-scale population data, including incorporating macro-environmental and digital health measures. acknowledgement: Funded by the European Union. Complementary funding was received by the UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee (10041392 and 10038599). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union, the European Health and Digital Executive Agency (HADEA) or UKRI. The European Union, HADEA and UKRI cannot be held responsible for them. This work received also support from Chinese Ministry for Science and Technology (MOST), the Horizon 2020-funded European Research Council Advanced Grant ‘STRATIFY’ (695313), the German Research Foundation (COPE; 675346; NE 1383/15-1 (CoviDrug)) and the National Natural Science Foundation of China grant 82150710554. article_processing_charge: No article_type: letter_note author: - first_name: Frauke full_name: Nees, Frauke last_name: Nees - first_name: Paul full_name: Renner, Paul last_name: Renner - first_name: Nathalie E. full_name: Holz, Nathalie E. last_name: Holz - first_name: Elli full_name: Polemiti, Elli last_name: Polemiti - first_name: Sebastian full_name: Siehl, Sebastian last_name: Siehl - first_name: Sören full_name: Hese, Sören last_name: Hese - first_name: Kerstin full_name: Schepanski, Kerstin last_name: Schepanski - first_name: Gunter full_name: Schumann, Gunter last_name: Schumann - first_name: Henrik full_name: Walter, Henrik last_name: Walter - first_name: Andreas full_name: Heinz, Andreas last_name: Heinz - first_name: Markus full_name: Ralser, Markus last_name: Ralser - first_name: Sven full_name: Twardziok, Sven last_name: Twardziok - first_name: Nilakshi full_name: Vaidya, Nilakshi last_name: Vaidya - first_name: Antoine full_name: Bernas, Antoine last_name: Bernas - first_name: Emin full_name: Serin, Emin last_name: Serin - first_name: Marcel full_name: Jentsch, Marcel last_name: Jentsch - first_name: Esther full_name: Hitchen, Esther last_name: Hitchen - first_name: Hedi full_name: Kebir, Hedi last_name: Kebir - first_name: Tristram A. full_name: Lett, Tristram A. last_name: Lett - first_name: Jean Charles full_name: Roy, Jean Charles last_name: Roy - first_name: Roland full_name: Eils, Roland last_name: Eils - first_name: Ulrike Helene full_name: Taron, Ulrike Helene last_name: Taron - first_name: Tatjana full_name: Schütz, Tatjana last_name: Schütz - first_name: Jamie full_name: Banks, Jamie last_name: Banks - first_name: Tobias full_name: Banaschewski, Tobias last_name: Banaschewski - first_name: Karina full_name: Jansone, Karina last_name: Jansone - first_name: Nina full_name: Christmann, Nina last_name: Christmann - first_name: Andreas full_name: Meyer-Lindenberg, Andreas last_name: Meyer-Lindenberg - first_name: Heike full_name: Tost, Heike last_name: Tost - first_name: Nathalie full_name: Holz, Nathalie last_name: Holz - first_name: Emanuel full_name: Schwarz, Emanuel last_name: Schwarz - first_name: Argyris full_name: Stringaris, Argyris last_name: Stringaris - first_name: Maja full_name: Neidhart, Maja last_name: Neidhart - first_name: Beke full_name: Seefried, Beke last_name: Seefried - first_name: Rieke full_name: Aden, Rieke last_name: Aden - first_name: Ole A. full_name: Andreassen, Ole A. last_name: Andreassen - first_name: Lars T. full_name: Westlye, Lars T. last_name: Westlye - first_name: Dennis full_name: Van Der Meer, Dennis last_name: Van Der Meer - first_name: Sara full_name: Fernandez, Sara last_name: Fernandez - first_name: Rikka full_name: Kjelkenes, Rikka last_name: Kjelkenes - first_name: Helga full_name: Ask, Helga last_name: Ask - first_name: Michael full_name: Rapp, Michael last_name: Rapp - first_name: Mira full_name: Tschorn, Mira last_name: Tschorn - first_name: Sarah Jane full_name: Böttger, Sarah Jane last_name: Böttger - first_name: Andre full_name: Marquand, Andre last_name: Marquand - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Lena full_name: Marr, Lena id: 4406F586-F248-11E8-B48F-1D18A9856A87 last_name: Marr - first_name: Mel full_name: Slater, Mel last_name: Slater - first_name: Guillem Feixas full_name: Viapiana, Guillem Feixas last_name: Viapiana - first_name: Francisco Eiroa full_name: Orosa, Francisco Eiroa last_name: Orosa - first_name: Jaime full_name: Gallego, Jaime last_name: Gallego - first_name: Alvaro full_name: Pastor, Alvaro last_name: Pastor - first_name: Andreas J. full_name: Forstner, Andreas J. last_name: Forstner - first_name: Per full_name: Hoffmann, Per last_name: Hoffmann - first_name: Markus M. full_name: Nöthen, Markus M. last_name: Nöthen - first_name: Isabelle full_name: Claus, Isabelle last_name: Claus - first_name: Abigail full_name: Miller, Abigail last_name: Miller - first_name: Carina M. full_name: Mathey, Carina M. last_name: Mathey - first_name: Stefanie full_name: Heilmann-Heimbach, Stefanie last_name: Heilmann-Heimbach - first_name: Peter full_name: Sommer, Peter last_name: Sommer - first_name: Myrto full_name: Patraskaki, Myrto last_name: Patraskaki - first_name: Johannes full_name: Wilbertz, Johannes last_name: Wilbertz - first_name: Karen full_name: Schmitt, Karen last_name: Schmitt - first_name: Viktor full_name: Jirsa, Viktor last_name: Jirsa - first_name: Spase full_name: Petkoski, Spase last_name: Petkoski - first_name: Séverine full_name: Pitel, Séverine last_name: Pitel - first_name: Lisa full_name: Otten, Lisa last_name: Otten - first_name: Anastasios Polykarpos full_name: Athanasiadis, Anastasios Polykarpos last_name: Athanasiadis - first_name: Charlie full_name: Pearmund, Charlie last_name: Pearmund - first_name: Bernhard full_name: Spanlang, Bernhard last_name: Spanlang - first_name: Elena full_name: Alvarez, Elena last_name: Alvarez - first_name: Mavi full_name: Sanchez, Mavi last_name: Sanchez - first_name: Arantxa full_name: Giner, Arantxa last_name: Giner - first_name: Tianye full_name: Jia, Tianye last_name: Jia - first_name: Yanting full_name: Gong, Yanting last_name: Gong - first_name: Yunman full_name: Xia, Yunman last_name: Xia - first_name: Xiao full_name: Chang, Xiao last_name: Chang - first_name: Vince full_name: Calhoun, Vince last_name: Calhoun - first_name: Jingyu full_name: Liu, Jingyu last_name: Liu - first_name: Ameli full_name: Schwalber, Ameli last_name: Schwalber - first_name: Paul full_name: Thompson, Paul last_name: Thompson - first_name: Nicholas full_name: Clinton, Nicholas last_name: Clinton - first_name: Sylvane full_name: Desrivières, Sylvane last_name: Desrivières - first_name: Allan H. full_name: Young, Allan H. last_name: Young - first_name: Bernd full_name: Stahl, Bernd last_name: Stahl - first_name: George full_name: Ogoh, George last_name: Ogoh citation: ama: Nees F, Renner P, Holz NE, et al. Large-scale population data enrichment in mental health research. Nature Mental Health. 2024;2(10):1124-1127. doi:10.1038/s44220-024-00316-z apa: Nees, F., Renner, P., Holz, N. E., Polemiti, E., Siehl, S., Hese, S., … Ogoh, G. (2024). Large-scale population data enrichment in mental health research. Nature Mental Health. Springer Nature. https://doi.org/10.1038/s44220-024-00316-z chicago: Nees, Frauke, Paul Renner, Nathalie E. Holz, Elli Polemiti, Sebastian Siehl, Sören Hese, Kerstin Schepanski, et al. “Large-Scale Population Data Enrichment in Mental Health Research.” Nature Mental Health. Springer Nature, 2024. https://doi.org/10.1038/s44220-024-00316-z. ieee: F. Nees et al., “Large-scale population data enrichment in mental health research,” Nature Mental Health, vol. 2, no. 10. Springer Nature, pp. 1124–1127, 2024. ista: Nees F, Renner P, Holz NE, Polemiti E, Siehl S, Hese S, Schepanski K, Schumann G, Walter H, Heinz A, Ralser M, Twardziok S, Vaidya N, Bernas A, Serin E, Jentsch M, Hitchen E, Kebir H, Lett TA, Roy JC, Eils R, Taron UH, Schütz T, Banks J, Banaschewski T, Jansone K, Christmann N, Meyer-Lindenberg A, Tost H, Holz N, Schwarz E, Stringaris A, Neidhart M, Seefried B, Aden R, Andreassen OA, Westlye LT, Van Der Meer D, Fernandez S, Kjelkenes R, Ask H, Rapp M, Tschorn M, Böttger SJ, Marquand A, Novarino G, Marr L, Slater M, Viapiana GF, Orosa FE, Gallego J, Pastor A, Forstner AJ, Hoffmann P, Nöthen MM, Claus I, Miller A, Mathey CM, Heilmann-Heimbach S, Sommer P, Patraskaki M, Wilbertz J, Schmitt K, Jirsa V, Petkoski S, Pitel S, Otten L, Athanasiadis AP, Pearmund C, Spanlang B, Alvarez E, Sanchez M, Giner A, Jia T, Gong Y, Xia Y, Chang X, Calhoun V, Liu J, Schwalber A, Thompson P, Clinton N, Desrivières S, Young AH, Stahl B, Ogoh G. 2024. Large-scale population data enrichment in mental health research. Nature Mental Health. 2(10), 1124–1127. mla: Nees, Frauke, et al. “Large-Scale Population Data Enrichment in Mental Health Research.” Nature Mental Health, vol. 2, no. 10, Springer Nature, 2024, pp. 1124–27, doi:10.1038/s44220-024-00316-z. short: F. Nees, P. Renner, N.E. Holz, E. Polemiti, S. Siehl, S. Hese, K. Schepanski, G. Schumann, H. Walter, A. Heinz, M. Ralser, S. Twardziok, N. Vaidya, A. Bernas, E. Serin, M. Jentsch, E. Hitchen, H. Kebir, T.A. Lett, J.C. Roy, R. Eils, U.H. Taron, T. Schütz, J. Banks, T. Banaschewski, K. Jansone, N. Christmann, A. Meyer-Lindenberg, H. Tost, N. Holz, E. Schwarz, A. Stringaris, M. Neidhart, B. Seefried, R. Aden, O.A. Andreassen, L.T. Westlye, D. Van Der Meer, S. Fernandez, R. Kjelkenes, H. Ask, M. Rapp, M. Tschorn, S.J. Böttger, A. Marquand, G. Novarino, L. Marr, M. Slater, G.F. Viapiana, F.E. Orosa, J. Gallego, A. Pastor, A.J. Forstner, P. Hoffmann, M.M. Nöthen, I. Claus, A. Miller, C.M. Mathey, S. Heilmann-Heimbach, P. Sommer, M. Patraskaki, J. Wilbertz, K. Schmitt, V. Jirsa, S. Petkoski, S. Pitel, L. Otten, A.P. Athanasiadis, C. Pearmund, B. Spanlang, E. Alvarez, M. Sanchez, A. Giner, T. Jia, Y. Gong, Y. Xia, X. Chang, V. Calhoun, J. Liu, A. Schwalber, P. Thompson, N. Clinton, S. Desrivières, A.H. Young, B. Stahl, G. Ogoh, Nature Mental Health 2 (2024) 1124–1127. date_created: 2025-03-23T23:01:28Z date_published: 2024-10-01T00:00:00Z date_updated: 2025-03-25T08:28:39Z day: '01' department: - _id: GaNo doi: 10.1038/s44220-024-00316-z fulldoi: https://doi.org/10.1038/s44220-024-00316-z intvolume: ' 2' issue: '10' language: - iso: eng month: '10' oa_version: None page: 1124-1127 publication: Nature Mental Health publication_identifier: eissn: - 2731-6076 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: Large-scale population data enrichment in mental health research type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2 year: '2024' ... --- OA_type: closed access _id: '19470' abstract: - lang: eng text: When food is freely available, eating occurs without energy deficit. While agouti-related peptide (AgRP) neurons are likely involved, their activation is thought to require negative energy balance. To investigate this, we implemented long-term, continuous in vivo fiber-photometry recordings in mice. We discovered new forms of AgRP neuron regulation, including fast pre-ingestive decreases in activity and unexpectedly rapid activation by fasting. Furthermore, AgRP neuron activity has a circadian rhythm that peaks concurrent with the daily feeding onset. Importantly, this rhythm persists when nutrition is provided via constant-rate gastric infusions. Hence, it is not secondary to a circadian feeding rhythm. The AgRP neuron rhythm is driven by the circadian clock, the suprachiasmatic nucleus (SCN), as SCN ablation abolishes the circadian rhythm in AgRP neuron activity and feeding. The SCN activates AgRP neurons via excitatory afferents from thyrotrophin-releasing hormone-expressing neurons in the dorsomedial hypothalamus (DMHTrh neurons) to drive daily feeding rhythms. article_processing_charge: No article_type: original author: - first_name: Amelia May Barnett full_name: Douglass, Amelia May Barnett id: de5f6fda-80fb-11ef-996f-a8c4ecd8e289 last_name: Douglass orcid: 0000-0001-5398-6473 - first_name: Hakan full_name: Kucukdereli, Hakan last_name: Kucukdereli - first_name: Joseph C. full_name: Madara, Joseph C. last_name: Madara - first_name: Daqing full_name: Wang, Daqing last_name: Wang - first_name: Chen full_name: Wu, Chen last_name: Wu - first_name: Elijah D. full_name: Lowenstein, Elijah D. last_name: Lowenstein - first_name: Jenkang full_name: Tao, Jenkang last_name: Tao - first_name: Bradford B. full_name: Lowell, Bradford B. last_name: Lowell citation: ama: Douglass AM, Kucukdereli H, Madara JC, et al. Acute and circadian feedforward regulation of agouti-related peptide hunger neurons. Cell Metabolism. 2024;37(3):708-722.e5. doi:10.1016/j.cmet.2024.11.009 apa: Douglass, A. M., Kucukdereli, H., Madara, J. C., Wang, D., Wu, C., Lowenstein, E. D., … Lowell, B. B. (2024). Acute and circadian feedforward regulation of agouti-related peptide hunger neurons. Cell Metabolism. Elsevier. https://doi.org/10.1016/j.cmet.2024.11.009 chicago: Douglass, Amelia M., Hakan Kucukdereli, Joseph C. Madara, Daqing Wang, Chen Wu, Elijah D. Lowenstein, Jenkang Tao, and Bradford B. Lowell. “Acute and Circadian Feedforward Regulation of Agouti-Related Peptide Hunger Neurons.” Cell Metabolism. Elsevier, 2024. https://doi.org/10.1016/j.cmet.2024.11.009. ieee: A. M. Douglass et al., “Acute and circadian feedforward regulation of agouti-related peptide hunger neurons,” Cell Metabolism, vol. 37, no. 3. Elsevier, p. 708–722.e5, 2024. ista: Douglass AM, Kucukdereli H, Madara JC, Wang D, Wu C, Lowenstein ED, Tao J, Lowell BB. 2024. Acute and circadian feedforward regulation of agouti-related peptide hunger neurons. Cell Metabolism. 37(3), 708–722.e5. mla: Douglass, Amelia M., et al. “Acute and Circadian Feedforward Regulation of Agouti-Related Peptide Hunger Neurons.” Cell Metabolism, vol. 37, no. 3, Elsevier, 2024, p. 708–722.e5, doi:10.1016/j.cmet.2024.11.009. short: A.M. Douglass, H. Kucukdereli, J.C. Madara, D. Wang, C. Wu, E.D. Lowenstein, J. Tao, B.B. Lowell, Cell Metabolism 37 (2024) 708–722.e5. date_created: 2025-04-03T12:27:39Z date_published: 2024-03-04T00:00:00Z date_updated: 2025-07-10T11:51:40Z day: '04' doi: 10.1016/j.cmet.2024.11.009 extern: '1' external_id: pmid: - '39719709' fulldoi: https://doi.org/10.1016/j.cmet.2024.11.009 intvolume: ' 37' issue: '3' language: - iso: eng month: '03' oa_version: None page: 708-722.e5 pmid: 1 publication: Cell Metabolism publication_identifier: issn: - 1550-4131 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: Acute and circadian feedforward regulation of agouti-related peptide hunger neurons type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- OA_place: repository OA_type: green _id: '19486' abstract: - lang: eng text: Consider the family of elliptic curves En:y2=x3+n2, where n varies over positive cubefree integers. There is a rational 3-isogeny ϕ from En to E^n:y2=x3−27n2 and a dual isogeny ϕ^:E^n→En. We show that for almost all n, the rank of Selϕ(En) is 0, and the rank of Selϕ^(E^n) is determined by the number of prime factors of n that are congruent to 2mod3 and the congruence class of nmod9. acknowledgement: The author would like to thank Peter Koymans and Carlo Pagano for helpful discussions. article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Yik Tung full_name: Chan, Yik Tung id: c4c0afc8-9262-11ed-9231-d8b0bc743af1 last_name: Chan orcid: 0000-0001-8467-4106 citation: ama: Chan S. The 3-isogeny selmer groups of the elliptic curves y2=x3+n2. International Mathematics Research Notices. 2024;2024(9):7571-7593. doi:10.1093/imrn/rnad266 apa: Chan, S. (2024). The 3-isogeny selmer groups of the elliptic curves y2=x3+n2. International Mathematics Research Notices. Oxford University Press. https://doi.org/10.1093/imrn/rnad266 chicago: Chan, Stephanie. “The 3-Isogeny Selmer Groups of the Elliptic Curves Y2=x3+n2.” International Mathematics Research Notices. Oxford University Press, 2024. https://doi.org/10.1093/imrn/rnad266. ieee: S. Chan, “The 3-isogeny selmer groups of the elliptic curves y2=x3+n2,” International Mathematics Research Notices, vol. 2024, no. 9. Oxford University Press, pp. 7571–7593, 2024. ista: Chan S. 2024. The 3-isogeny selmer groups of the elliptic curves y2=x3+n2. International Mathematics Research Notices. 2024(9), 7571–7593. mla: Chan, Stephanie. “The 3-Isogeny Selmer Groups of the Elliptic Curves Y2=x3+n2.” International Mathematics Research Notices, vol. 2024, no. 9, Oxford University Press, 2024, pp. 7571–93, doi:10.1093/imrn/rnad266. short: S. Chan, International Mathematics Research Notices 2024 (2024) 7571–7593. date_created: 2025-04-05T10:50:33Z date_published: 2024-05-01T00:00:00Z date_updated: 2025-07-10T11:51:44Z day: '01' doi: 10.1093/imrn/rnad266 extern: '1' external_id: arxiv: - '2211.06062' fulldoi: https://doi.org/10.1093/imrn/rnad266 intvolume: ' 2024' issue: '9' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2211.06062 month: '05' oa: 1 oa_version: Preprint page: 7571-7593 publication: International Mathematics Research Notices publication_identifier: eissn: - 1687-0247 issn: - 1073-7928 publication_status: published publisher: Oxford University Press quality_controlled: '1' scopus_import: '1' status: public title: The 3-isogeny selmer groups of the elliptic curves y2=x3+n2 type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2024 year: '2024' ... --- OA_place: repository OA_type: green _id: '19517' abstract: - lang: eng text: "In this paper, we present a novel data-free method for merging neural networks in weight space. Differently from most existing works, our method optimizes for the permutations of network neurons globally across all layers. This allows us to enforce cycle consistency of the permutations when merging n ≥ 3 models, allowing circular compositions of permutations to be computed without accumulating error along the path. We qualitatively and quantitatively motivate the need for such a constraint, showing its benefits when merging sets of models in scenarios spanning varying architectures and datasets. We finally show that, when coupled\r\nwith activation renormalization, our approach yields the best results in the task." acknowledgement: "This work is supported by the ERC grant no.802554 (SPECGEO), PRIN 2020 project\r\nno.2020TA3K9N (LEGO.AI), and PNRR MUR project PE0000013-FAIR. Marco Fumero is supported by the MSCA IST-Bridge fellowship which has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 101034413. We thank Simone Scardapane for the helpful feedback on the paper." alternative_title: - Advances in Neural Information Processing Systems article_processing_charge: No arxiv: 1 author: - first_name: Donato full_name: Crisostomi, Donato last_name: Crisostomi - first_name: Marco full_name: Fumero, Marco id: 1c1593eb-393f-11ef-bb8e-ab4f1e979650 last_name: Fumero - first_name: Daniele full_name: Baieri, Daniele last_name: Baieri - first_name: Florian full_name: Bernard, Florian last_name: Bernard - first_name: Emanuele full_name: Rodolà, Emanuele last_name: Rodolà citation: ama: 'Crisostomi D, Fumero M, Baieri D, Bernard F, Rodolà E. C2M3: Cycle-consistent multi-model merging. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.' apa: 'Crisostomi, D., Fumero, M., Baieri, D., Bernard, F., & Rodolà, E. (2024). C2M3: Cycle-consistent multi-model merging. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.' chicago: 'Crisostomi, Donato, Marco Fumero, Daniele Baieri, Florian Bernard, and Emanuele Rodolà. “C2M3: Cycle-Consistent Multi-Model Merging.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024.' ieee: 'D. Crisostomi, M. Fumero, D. Baieri, F. Bernard, and E. Rodolà, “C2M3: Cycle-consistent multi-model merging,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.' ista: 'Crisostomi D, Fumero M, Baieri D, Bernard F, Rodolà E. 2024. C2M3: Cycle-consistent multi-model merging. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.' mla: 'Crisostomi, Donato, et al. “C2M3: Cycle-Consistent Multi-Model Merging.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.' short: D. Crisostomi, M. Fumero, D. Baieri, F. Bernard, E. Rodolà, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024. conference: end_date: 2024-12-15 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-09 corr_author: '1' date_created: 2025-04-06T22:01:32Z date_published: 2024-12-20T00:00:00Z date_updated: 2025-05-14T11:36:59Z day: '20' department: - _id: FrLo ec_funded: 1 external_id: arxiv: - '2405.17897' intvolume: ' 37' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2405.17897 month: '12' oa: 1 oa_version: Preprint project: - _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c call_identifier: H2020 grant_number: '101034413' name: 'IST-BRIDGE: International postdoctoral program' publication: 38th Conference on Neural Information Processing Systems publication_identifier: issn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' scopus_import: '1' status: public title: 'C2M3: Cycle-consistent multi-model merging' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- OA_place: repository OA_type: green _id: '19518' abstract: - lang: eng text: "The rising footprint of machine learning has led to a focus on imposing model\r\nsparsity as a means of reducing computational and memory costs. For deep neural\r\nnetworks (DNNs), the state-of-the-art accuracy-vs-sparsity is achieved by heuristics\r\ninspired by the classical Optimal Brain Surgeon (OBS) framework [LeCun et al.,\r\n1989, Hassibi and Stork, 1992, Hassibi et al., 1993], which leverages loss curvature\r\ninformation to make better pruning decisions. Yet, these results still lack a solid\r\ntheoretical understanding, and it is unclear whether they can be improved by\r\nleveraging connections to the wealth of work on sparse recovery algorithms. In this\r\npaper, we draw new connections between these two areas and present new sparse\r\nrecovery algorithms inspired by the OBS framework that comes with theoretical\r\nguarantees under reasonable assumptions and have strong practical performance.\r\nSpecifically, our work starts from the observation that we can leverage curvature\r\ninformation in OBS-like fashion upon the projection step of classic iterative sparse\r\nrecovery algorithms such as IHT. We show for the first time that this leads both\r\nto improved convergence bounds under standard assumptions. Furthermore, we\r\npresent extensions of this approach to the practical task of obtaining accurate sparse\r\nDNNs, and validate it experimentally at scale for Transformer-based models on\r\nvision and language tasks." acknowledged_ssus: - _id: CampIT acknowledgement: The authors thank the anonymous NeurIPS reviewers for their useful comments and feedback, the IT department from the Institute of Science and Technology Austria for the hardware support, and Weights and Biases for the infrastructure to track all our experiments. Mher Safaryan has received funding from the European Union’s Horizon 2020 research and innovation program under the Maria Skłodowska-Curie grant agreement No 101034413. alternative_title: - Advances in Neural Information Processing Systems article_processing_charge: No arxiv: 1 author: - first_name: Diyuan full_name: Wu, Diyuan id: 1a5914c2-896a-11ed-bdf8-fb80621a0635 last_name: Wu - first_name: Ionut-Vlad full_name: Modoranu, Ionut-Vlad id: 449f7a18-f128-11eb-9611-9b430c0c6333 last_name: Modoranu - first_name: Mher full_name: Safaryan, Mher id: dd546b39-0804-11ed-9c55-ef075c39778d last_name: Safaryan - first_name: Denis full_name: Kuznedelev, Denis last_name: Kuznedelev - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: ama: 'Wu D, Modoranu I-V, Safaryan M, Kuznedelev D, Alistarh D-A. The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.' apa: 'Wu, D., Modoranu, I.-V., Safaryan, M., Kuznedelev, D., & Alistarh, D.-A. (2024). The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.' chicago: 'Wu, Diyuan, Ionut-Vlad Modoranu, Mher Safaryan, Denis Kuznedelev, and Dan-Adrian Alistarh. “The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024.' ieee: 'D. Wu, I.-V. Modoranu, M. Safaryan, D. Kuznedelev, and D.-A. Alistarh, “The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.' ista: 'Wu D, Modoranu I-V, Safaryan M, Kuznedelev D, Alistarh D-A. 2024. The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.' mla: 'Wu, Diyuan, et al. “The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.' short: D. Wu, I.-V. Modoranu, M. Safaryan, D. Kuznedelev, D.-A. Alistarh, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024. conference: end_date: 2024-12-15 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-09 corr_author: '1' date_created: 2025-04-06T22:01:32Z date_published: 2024-12-20T00:00:00Z date_updated: 2025-05-14T11:37:10Z day: '20' department: - _id: DaAl - _id: MaMo ec_funded: 1 external_id: arxiv: - '2408.17163' intvolume: ' 37' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2408.17163 month: '12' oa: 1 oa_version: Preprint project: - _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c call_identifier: H2020 grant_number: '101034413' name: 'IST-BRIDGE: International postdoctoral program' publication: 38th Conference on Neural Information Processing Systems publication_identifier: issn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' scopus_import: '1' status: public title: 'The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- OA_place: publisher OA_type: gold _id: '19519' abstract: - lang: eng text: There has been significant interest in "extreme" compression of large language models (LLMs), i.e. to 1-2 bits per parameter, which allows such models to be executed efficiently on resource-constrained devices. Existing work focused on improved one-shot quantization techniques and weight representations; yet, purely post-training approaches are reaching diminishing returns in terms of the accuracy-vs-bit-width trade-off. State-of-the-art quantization methods such as QuIP# and AQLM include fine-tuning (part of) the compressed parameters over a limited amount of calibration data; however, such fine-tuning techniques over compressed weights often make exclusive use of straight-through estimators (STE), whose performance is not well-understood in this setting. In this work, we question the use of STE for extreme LLM compression, showing that it can be sub-optimal, and perform a systematic study of quantization-aware fine-tuning strategies for LLMs.We propose PV-Tuning - a representation-agnostic framework that generalizes and improves upon existing fine-tuning strategies, and provides convergence guarantees in restricted cases.On the practical side, when used for 1-2 bit vector quantization, PV-Tuning outperforms prior techniques for highly-performant models such as Llama and Mistral. Using PV-Tuning, we achieve the first Pareto-optimal quantization for Llama-2 family models at 2 bits per parameter. acknowledgement: "Authors would like to thank Vage Egiazarian, Andrei Panferov and Ruslan Svirschevski for their\r\nhelp and advice on AQLM codebase and running large-scale experiments. We also thank Philip\r\nZmushko and Artem Fedorov for helpful discussions during the early stages of our research. The research of Kai Yi, Konstantin Burlachenko, and Peter Richtárik reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) – Center of Excellence for Generative AI, under award number 5940. We would also like to thank our NeurIPS reviewers for their helpful suggestions, we specifically highlight p3Lv’s suggestions to consider smaller codebook sizes and evaluate PV-Tuning with QuIP#, both of which produced interesting findings. Finally, we thank the open-source contributors from llama.cpp9 and the LocalLlama10 community for discussions and inspirations on practical use cases of quantized language models, and in particular, Yalda Shabanzadeh and Arthur Aardvark for their help with improving the codebase." alternative_title: - Advances in Neural Information Processing Systems article_processing_charge: No arxiv: 1 author: - first_name: Vladimir full_name: Malinovskii, Vladimir last_name: Malinovskii - first_name: Denis full_name: Mazur, Denis last_name: Mazur - first_name: Ivan full_name: Ilin, Ivan last_name: Ilin - first_name: Denis full_name: Kuznedelev, Denis last_name: Kuznedelev - first_name: Konstantin full_name: Burlachenko, Konstantin last_name: Burlachenko - first_name: Kai full_name: Yi, Kai last_name: Yi - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X - first_name: Peter full_name: Richtarik, Peter last_name: Richtarik citation: ama: 'Malinovskii V, Mazur D, Ilin I, et al. PV-tuning: Beyond straight-through estimation for extreme LLM compression. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.' apa: 'Malinovskii, V., Mazur, D., Ilin, I., Kuznedelev, D., Burlachenko, K., Yi, K., … Richtarik, P. (2024). PV-tuning: Beyond straight-through estimation for extreme LLM compression. In 38th Conference on Neural Information Processing Systems (Vol. 37). Vancouver, Canada: Neural Information Processing Systems Foundation.' chicago: 'Malinovskii, Vladimir, Denis Mazur, Ivan Ilin, Denis Kuznedelev, Konstantin Burlachenko, Kai Yi, Dan-Adrian Alistarh, and Peter Richtarik. “PV-Tuning: Beyond Straight-through Estimation for Extreme LLM Compression.” In 38th Conference on Neural Information Processing Systems, Vol. 37. Neural Information Processing Systems Foundation, 2024.' ieee: 'V. Malinovskii et al., “PV-tuning: Beyond straight-through estimation for extreme LLM compression,” in 38th Conference on Neural Information Processing Systems, Vancouver, Canada, 2024, vol. 37.' ista: 'Malinovskii V, Mazur D, Ilin I, Kuznedelev D, Burlachenko K, Yi K, Alistarh D-A, Richtarik P. 2024. PV-tuning: Beyond straight-through estimation for extreme LLM compression. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.' mla: 'Malinovskii, Vladimir, et al. “PV-Tuning: Beyond Straight-through Estimation for Extreme LLM Compression.” 38th Conference on Neural Information Processing Systems, vol. 37, Neural Information Processing Systems Foundation, 2024.' short: V. Malinovskii, D. Mazur, I. Ilin, D. Kuznedelev, K. Burlachenko, K. Yi, D.-A. Alistarh, P. Richtarik, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024. conference: end_date: 2024-12-15 location: Vancouver, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2024-12-10 date_created: 2025-04-06T22:01:32Z date_published: 2024-12-20T00:00:00Z date_updated: 2025-05-14T10:49:20Z day: '20' ddc: - '000' department: - _id: DaAl external_id: arxiv: - '2405.14852' file: - access_level: open_access checksum: 54d36f947887e26d0e568b512167001a content_type: application/pdf creator: dernst date_created: 2025-04-07T09:17:10Z date_updated: 2025-04-07T09:17:10Z file_id: '19521' file_name: 2024_NeurIPS_Malinovskii.pdf file_size: 939712 relation: main_file success: 1 file_date_updated: 2025-04-07T09:17:10Z has_accepted_license: '1' intvolume: ' 37' language: - iso: eng month: '12' oa: 1 oa_version: Published Version publication: 38th Conference on Neural Information Processing Systems publication_identifier: isbn: - '9798331314385' issn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' scopus_import: '1' status: public title: 'PV-tuning: Beyond straight-through estimation for extreme LLM compression' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 37 year: '2024' ... --- OA_place: repository OA_type: green _id: '19520' abstract: - lang: eng text: Vertebrates exhibit a wide range of motor behaviors, ranging from swimming to complex limb-based movements. Here we take advantage of frog metamorphosis, which captures a swim-to-limb-based movement transformation during the development of a single organism, to explore changes in the underlying spinal circuits. We find that the tadpole spinal cord contains small and largely homogeneous populations of motor neurons (MNs) and V1 interneurons (V1s) at early escape swimming stages. These neuronal populations only modestly increase in number and subtype heterogeneity with the emergence of free swimming. In contrast, during frog metamorphosis and the emergence of limb movement, there is a dramatic expansion of MN and V1 interneuron number and transcriptional heterogeneity, culminating in cohorts of neurons that exhibit striking molecular similarity to mammalian motor circuits. CRISPR/Cas9-mediated gene disruption of the limb MN and V1 determinants FoxP1 and Engrailed-1, respectively, results in severe but selective deficits in tail and limb function. Our work thus demonstrates that neural diversity scales exponentially with increasing behavioral complexity and illustrates striking evolutionary conservation in the molecular organization and function of motor circuits across species. acknowledged_ssus: - _id: Bio acknowledgement: "We would like to thank the members of the Sweeney Lab (especially Stavros Papadopoulos and\r\nSophie Gobeil) for their contributions to this project and, in addition to the lab, Graziana Gatto\r\nand Mario de Bono, for discussion, and support. We are also grateful to Tom Jessell and Chris\r\nKintner for their scientific insight and mentorship during the conception of this project. This\r\nproject would also not have been possible with the technical support of the Matthias Nowak,\r\nVerena Mayer and the Aquatics as well as the Imaging and Optics Facility support teams\r\n(ISTA). In addition, we thank our funding sources for providing the resources to do these\r\nexperiments: FTI Strategy Lower Austria Dissertation Grant Number FT121-D-046 (D.V.);\r\nHorizon Europe ERC Starting Grant Number 101041551 (L.B.S., F.A.T. and D.V); Special\r\nResearch Program (SFB) of the Austrian Science Fund (FWF) Project number F7814-B (L.B.S);\r\nNINDS 5R35NS116858 (J.S.D); CZI grant DAF2020-225401 (DOI): 10.37921/120055ratwvi\r\n(R.H.); NIH grant number R01NS123116 (J.B.B); American Lebanese Syrian Associated\r\nCharities (ALSAC) (J.B.B.); German Academic Exchange Service (DAAD) IFI Grant Number\r\n57515251-91853472 (Z.H.); and Project A.L.S. (S.B-M.). " article_processing_charge: No author: - first_name: David full_name: Vijatovic, David id: cf391e77-ec3c-11ea-a124-d69323410b58 last_name: Vijatovic - first_name: 'Florina Alexandra ' full_name: 'Toma, Florina Alexandra ' id: 2f73f876-f128-11eb-9611-b96b5a30cb0e last_name: Toma - first_name: Zoe P full_name: Harrington, Zoe P id: a8144562-32c9-11ee-b5ce-d9800628bda2 last_name: Harrington orcid: 0009-0008-0158-4032 - first_name: Christoph M full_name: Sommer, Christoph M id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87 last_name: Sommer orcid: 0000-0003-1216-9105 - first_name: Robert full_name: Hauschild, Robert id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87 last_name: Hauschild orcid: 0000-0001-9843-3522 - first_name: Alexandra J. full_name: Trevisan, Alexandra J. last_name: Trevisan - first_name: Phillip full_name: Chapman, Phillip last_name: Chapman - first_name: Mara full_name: Julseth, Mara id: 1cf464b2-dc7d-11ea-9b2f-f9b1aa9417d1 last_name: Julseth - first_name: Susan full_name: Brenner-Morton, Susan last_name: Brenner-Morton - first_name: Mariano I. full_name: Gabitto, Mariano I. last_name: Gabitto - first_name: Jeremy S. full_name: Dasen, Jeremy S. last_name: Dasen - first_name: Jay B. full_name: Bikoff, Jay B. last_name: Bikoff - first_name: Lora Beatrice Jaeger full_name: Sweeney, Lora Beatrice Jaeger id: 56BE8254-C4F0-11E9-8E45-0B23E6697425 last_name: Sweeney orcid: 0000-0001-9242-5601 citation: ama: Vijatovic D, Toma FA, Harrington ZP, et al. Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis. bioRxiv. doi:10.1101/2024.09.20.614050 apa: Vijatovic, D., Toma, F. A., Harrington, Z. P., Sommer, C. M., Hauschild, R., Trevisan, A. J., … Sweeney, L. B. (n.d.). Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis. bioRxiv. https://doi.org/10.1101/2024.09.20.614050 chicago: Vijatovic, David, Florina Alexandra Toma, Zoe P Harrington, Christoph M Sommer, Robert Hauschild, Alexandra J. Trevisan, Phillip Chapman, et al. “Spinal Neuron Diversity Scales Exponentially with Swim-to-Limb Transformation during Frog Metamorphosis.” BioRxiv, n.d. https://doi.org/10.1101/2024.09.20.614050. ieee: D. Vijatovic et al., “Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis,” bioRxiv. . ista: Vijatovic D, Toma FA, Harrington ZP, Sommer CM, Hauschild R, Trevisan AJ, Chapman P, Julseth M, Brenner-Morton S, Gabitto MI, Dasen JS, Bikoff JB, Sweeney LB. Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis. bioRxiv, 10.1101/2024.09.20.614050. mla: Vijatovic, David, et al. “Spinal Neuron Diversity Scales Exponentially with Swim-to-Limb Transformation during Frog Metamorphosis.” BioRxiv, doi:10.1101/2024.09.20.614050. short: D. Vijatovic, F.A. Toma, Z.P. Harrington, C.M. Sommer, R. Hauschild, A.J. Trevisan, P. Chapman, M. Julseth, S. Brenner-Morton, M.I. Gabitto, J.S. Dasen, J.B. Bikoff, L.B. Sweeney, BioRxiv (n.d.). corr_author: '1' date_created: 2025-04-07T08:48:28Z date_published: 2024-09-27T00:00:00Z date_updated: 2025-05-14T11:40:13Z day: '27' department: - _id: LoSw - _id: TiVo - _id: Bio - _id: NiBa doi: 10.1101/2024.09.20.614050 fulldoi: https://doi.org/10.1101/2024.09.20.614050 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1101/2024.09.20.614050 month: '09' oa: 1 oa_version: Preprint project: - _id: bd73af52-d553-11ed-ba76-912049f0ac7a grant_number: FTI21-D-046 name: Development of V1 interneuron diversity during swim-to-walk transition of Xenopus metamorphosis - _id: ebb66355-77a9-11ec-83b8-b8ac210a4dae grant_number: '101041551' name: Development and Evolution of Tetrapod Motor Circuits - _id: c08e9ad1-5a5b-11eb-8a69-9d1cf3b07473 grant_number: CZI01 name: Tools for automation and feedback microscopy publication: bioRxiv publication_status: submitted status: public title: Spinal neuron diversity scales exponentially with swim-to-limb transformation during frog metamorphosis type: preprint user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_place: repository OA_type: green _id: '19800' abstract: - lang: eng text: "This archive contains all the code and data necessary to reproduce the results presented in the \r\n\"Mapping the attractor landscape of Boolean networks\" paper." article_processing_charge: No author: - first_name: Van Giang full_name: trinh, Van Giang last_name: trinh - first_name: Kyu Hyong full_name: Park, Kyu Hyong last_name: Park - first_name: Samuel full_name: Pastva, Samuel id: 07c5ea74-f61c-11ec-a664-aa7c5d957b2b last_name: Pastva orcid: 0000-0003-1993-0331 - first_name: Jordan full_name: Rozum, Jordan last_name: Rozum citation: ama: trinh VG, Park KH, Pastva S, Rozum J. Mapping the attractor landscape of Boolean networks. 2024. doi:10.5281/ZENODO.13854759 apa: trinh, V. G., Park, K. H., Pastva, S., & Rozum, J. (2024). Mapping the attractor landscape of Boolean networks. Zenodo. https://doi.org/10.5281/ZENODO.13854759 chicago: trinh, Van Giang, Kyu Hyong Park, Samuel Pastva, and Jordan Rozum. “Mapping the Attractor Landscape of Boolean Networks.” Zenodo, 2024. https://doi.org/10.5281/ZENODO.13854759. ieee: V. G. trinh, K. H. Park, S. Pastva, and J. Rozum, “Mapping the attractor landscape of Boolean networks.” Zenodo, 2024. ista: trinh VG, Park KH, Pastva S, Rozum J. 2024. Mapping the attractor landscape of Boolean networks, Zenodo, 10.5281/ZENODO.13854759. mla: trinh, Van Giang, et al. Mapping the Attractor Landscape of Boolean Networks. Zenodo, 2024, doi:10.5281/ZENODO.13854759. short: V.G. trinh, K.H. Park, S. Pastva, J. Rozum, (2024). date_created: 2025-06-10T07:10:01Z date_published: 2024-09-28T00:00:00Z date_updated: 2025-09-30T12:46:33Z day: '28' ddc: - '000' department: - _id: ToHe doi: 10.5281/ZENODO.13854759 fulldoi: https://doi.org/10.5281/ZENODO.13854759 has_accepted_license: '1' main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.13854760 month: '09' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '19796' relation: used_in_publication status: public status: public title: Mapping the attractor landscape of Boolean networks tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_place: publisher OA_type: hybrid _id: '19809' abstract: - lang: eng text: In many physical situations in which many-body assemblies exist at temperature T, a characteristic quantum-mechanical time scale of approximately h/kbT can be identified in both theory and experiment, leading to speculation that it may be the shortest meaningful time in such circumstances. This behavior can be investigated by probing the scattering rate of electrons in a broad class of materials often referred to as “strongly correlated metals”. It is clear that in some cases only electron–electron scattering can be its cause, while in others it arises from high-temperature scattering of electrons from quantized lattice vibrations, i.e., phonons. In metallic oxides, which are among the most studied materials, analysis of electrical transport does not satisfactorily identify the relevant scattering mechanism at “high” temperatures near room temperature. We therefore employ a contactless optical method to measure thermal diffusivity in two Ru-based layered perovskites, Sr3Ru2O7 and Sr2RuO4, and use the measurements to extract the dimensionless Lorenz ratio. By comparing our results to the literature data on both conventional and unconventional metals, we show how the analysis of high-temperature thermal transport can both give important insight into dominant scattering mechanisms and be offered as a stringent test of theories attempting to explain anomalous scattering. article_processing_charge: No article_type: original author: - first_name: Fei full_name: Sun, Fei last_name: Sun - first_name: Simli full_name: Mishra, Simli last_name: Mishra - first_name: Ulrike full_name: Stockert, Ulrike last_name: Stockert - first_name: Ramzy full_name: Daou, Ramzy last_name: Daou - first_name: Naoki full_name: Kikugawa, Naoki last_name: Kikugawa - first_name: Robin S. full_name: Perry, Robin S. last_name: Perry - first_name: Elena full_name: Hassinger, Elena last_name: Hassinger - first_name: Sean A. full_name: Hartnoll, Sean A. last_name: Hartnoll - first_name: Andrew P. full_name: Mackenzie, Andrew P. last_name: Mackenzie - first_name: Veronika full_name: Sunko, Veronika id: 23cb1cf6-2c7a-11ef-91a4-f72fc19f20b3 last_name: Sunko orcid: 0000-0003-2724-3523 citation: ama: Sun F, Mishra S, Stockert U, et al. The Lorenz ratio as a guide to scattering contributions to transport in strongly correlated metals. Proceedings of the National Academy of Sciences. 2024;121(35). doi:10.1073/pnas.2318159121 apa: Sun, F., Mishra, S., Stockert, U., Daou, R., Kikugawa, N., Perry, R. S., … Sunko, V. (2024). The Lorenz ratio as a guide to scattering contributions to transport in strongly correlated metals. Proceedings of the National Academy of Sciences. National Academy of Sciences. https://doi.org/10.1073/pnas.2318159121 chicago: Sun, Fei, Simli Mishra, Ulrike Stockert, Ramzy Daou, Naoki Kikugawa, Robin S. Perry, Elena Hassinger, Sean A. Hartnoll, Andrew P. Mackenzie, and Veronika Sunko. “The Lorenz Ratio as a Guide to Scattering Contributions to Transport in Strongly Correlated Metals.” Proceedings of the National Academy of Sciences. National Academy of Sciences, 2024. https://doi.org/10.1073/pnas.2318159121. ieee: F. Sun et al., “The Lorenz ratio as a guide to scattering contributions to transport in strongly correlated metals,” Proceedings of the National Academy of Sciences, vol. 121, no. 35. National Academy of Sciences, 2024. ista: Sun F, Mishra S, Stockert U, Daou R, Kikugawa N, Perry RS, Hassinger E, Hartnoll SA, Mackenzie AP, Sunko V. 2024. The Lorenz ratio as a guide to scattering contributions to transport in strongly correlated metals. Proceedings of the National Academy of Sciences. 121(35). mla: Sun, Fei, et al. “The Lorenz Ratio as a Guide to Scattering Contributions to Transport in Strongly Correlated Metals.” Proceedings of the National Academy of Sciences, vol. 121, no. 35, National Academy of Sciences, 2024, doi:10.1073/pnas.2318159121. short: F. Sun, S. Mishra, U. Stockert, R. Daou, N. Kikugawa, R.S. Perry, E. Hassinger, S.A. Hartnoll, A.P. Mackenzie, V. Sunko, Proceedings of the National Academy of Sciences 121 (2024). date_created: 2025-06-10T09:12:41Z date_published: 2024-08-27T00:00:00Z date_updated: 2025-06-10T11:50:48Z day: '27' doi: 10.1073/pnas.2318159121 extern: '1' external_id: pmid: - '39172781' fulldoi: https://doi.org/10.1073/pnas.2318159121 has_accepted_license: '1' intvolume: ' 121' issue: '35' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1073/pnas.2318159121 month: '08' oa: 1 oa_version: Published Version pmid: 1 publication: Proceedings of the National Academy of Sciences publication_identifier: eissn: - 1091-6490 issn: - 0027-8424 publication_status: published publisher: National Academy of Sciences quality_controlled: '1' scopus_import: '1' status: public title: The Lorenz ratio as a guide to scattering contributions to transport in strongly correlated metals tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 121 year: '2024' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '19816' abstract: - lang: eng text: 'Understanding and manipulating emergent phases, which are themes at the forefront of quantum-materials research, rely on identifying their underlying symmetries. This general principle has been particularly prominent in materials with coupled electronic and magnetic degrees of freedom, in which magnetic order influences the electronic band structure and can lead to exotic topological effects. However, identifying symmetry of a magnetically ordered phase can pose a challenge, particularly in the presence of small domains. Here we introduce a multimodal approach for determining magnetic structures, which combines symmetry-sensitive optical probes, scattering, and group-theoretical analysis. We apply it to EuIn2⁢As2, a material that has received attention as a candidate axion insulator. While first-principles calculations predict this state on the assumption of a simple collinear antiferromagnetic structure, subsequent neutron-scattering measurements reveal a much more intricate magnetic ground state characterized by two coexisting magnetic wave vectors reached by successive thermal phase transitions. The proposed high- and low-temperature phases are a spin helix and a state with interpenetrating helical and Néel antiferromagnetic order termed a “broken helix,” respectively. Employing a multimodal approach, we identify the magnetic structure associated with these two phases of EuIn2⁢As2. We find that the higher-temperature phase is characterized by a variation of the magnetic moment amplitude from layer to layer, with the moment vanishing entirely in every third Eu layer. The lower-temperature structure is similar to the broken helix, with one important difference: Because of local strain, the relative orientation of the magnetic structure and the lattice is not fixed. Consequently, the symmetry required to protect the axion phase is not generically protected in EuIn2⁢As2, but we show that it can be restored if the magnetic structure is tuned with uniaxial strain. Finally, we present a spin Hamiltonian that identifies the spin interactions that account for the complex magnetic order in EuIn2⁢As2. Our work highlights the importance of a multimodal approach in determining the symmetry of complex order parameters.' article_number: '031013' article_processing_charge: No article_type: original author: - first_name: E. full_name: Donoway, E. last_name: Donoway - first_name: T. V. full_name: Trevisan, T. V. last_name: Trevisan - first_name: A. full_name: Liebman-Peláez, A. last_name: Liebman-Peláez - first_name: R. P. full_name: Day, R. P. last_name: Day - first_name: K. full_name: Yamakawa, K. last_name: Yamakawa - first_name: Y. full_name: Sun, Y. last_name: Sun - first_name: J. R. full_name: Soh, J. R. last_name: Soh - first_name: D. full_name: Prabhakaran, D. last_name: Prabhakaran - first_name: A. T. full_name: Boothroyd, A. T. last_name: Boothroyd - first_name: R. M. full_name: Fernandes, R. M. last_name: Fernandes - first_name: J. G. full_name: Analytis, J. G. last_name: Analytis - first_name: J. E. full_name: Moore, J. E. last_name: Moore - first_name: J. full_name: Orenstein, J. last_name: Orenstein - first_name: Veronika full_name: Sunko, Veronika id: 23cb1cf6-2c7a-11ef-91a4-f72fc19f20b3 last_name: Sunko orcid: 0000-0003-2724-3523 citation: ama: Donoway E, Trevisan TV, Liebman-Peláez A, et al. Multimodal approach reveals the symmetry-breaking pathway to the broken helix in EuIn2As2. Physical Review X. 2024;14(3). doi:10.1103/physrevx.14.031013 apa: Donoway, E., Trevisan, T. V., Liebman-Peláez, A., Day, R. P., Yamakawa, K., Sun, Y., … Sunko, V. (2024). Multimodal approach reveals the symmetry-breaking pathway to the broken helix in EuIn2As2. Physical Review X. American Physical Society. https://doi.org/10.1103/physrevx.14.031013 chicago: Donoway, E., T. V. Trevisan, A. Liebman-Peláez, R. P. Day, K. Yamakawa, Y. Sun, J. R. Soh, et al. “Multimodal Approach Reveals the Symmetry-Breaking Pathway to the Broken Helix in EuIn2As2.” Physical Review X. American Physical Society, 2024. https://doi.org/10.1103/physrevx.14.031013. ieee: E. Donoway et al., “Multimodal approach reveals the symmetry-breaking pathway to the broken helix in EuIn2As2,” Physical Review X, vol. 14, no. 3. American Physical Society, 2024. ista: Donoway E, Trevisan TV, Liebman-Peláez A, Day RP, Yamakawa K, Sun Y, Soh JR, Prabhakaran D, Boothroyd AT, Fernandes RM, Analytis JG, Moore JE, Orenstein J, Sunko V. 2024. Multimodal approach reveals the symmetry-breaking pathway to the broken helix in EuIn2As2. Physical Review X. 14(3), 031013. mla: Donoway, E., et al. “Multimodal Approach Reveals the Symmetry-Breaking Pathway to the Broken Helix in EuIn2As2.” Physical Review X, vol. 14, no. 3, 031013, American Physical Society, 2024, doi:10.1103/physrevx.14.031013. short: E. Donoway, T.V. Trevisan, A. Liebman-Peláez, R.P. Day, K. Yamakawa, Y. Sun, J.R. Soh, D. Prabhakaran, A.T. Boothroyd, R.M. Fernandes, J.G. Analytis, J.E. Moore, J. Orenstein, V. Sunko, Physical Review X 14 (2024). date_created: 2025-06-10T09:17:30Z date_published: 2024-07-22T00:00:00Z date_updated: 2025-06-10T13:14:20Z day: '22' doi: 10.1103/physrevx.14.031013 extern: '1' fulldoi: https://doi.org/10.1103/physrevx.14.031013 intvolume: ' 14' issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1103/physrevx.14.031013 month: '07' oa: 1 oa_version: Published Version publication: Physical Review X publication_identifier: eissn: - 2160-3308 publication_status: published publisher: American Physical Society quality_controlled: '1' scopus_import: '1' status: public title: Multimodal approach reveals the symmetry-breaking pathway to the broken helix in EuIn2As2 type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 14 year: '2024' ... --- OA_place: repository _id: '19884' abstract: - lang: eng text: "This is Marlin, a Mixed Auto-Regressive Linear kernel (and the name of one of the planet's fastest fish), an extremely optimized FP16xINT4 matmul kernel aimed at LLM inference that can deliver close to ideal (4x) speedups up to batchsizes of 16-32 tokens (in contrast to the 1-2 tokens of prior work with comparable speedup).\r\n\r\nAdditionally, it includes Sparse-Marlin, an extension of the MARLIN kernels adding support to 2:4 weight sparsity, achieving 5.3x speedups on NVIDIA GPUs (Ampere/Ada)." article_processing_charge: No author: - first_name: Elias full_name: Frantar, Elias id: 09a8f98d-ec99-11ea-ae11-c063a7b7fe5f last_name: Frantar - first_name: Roberto full_name: Castro, Roberto last_name: Castro - first_name: Jiale full_name: Chen, Jiale id: 4d0a9064-1ff6-11ee-9fa6-ec046c604785 last_name: Chen orcid: 0000-0001-5337-5875 - first_name: Torsten full_name: Hoefler, Torsten last_name: Hoefler - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: ama: 'Frantar E, Castro R, Chen J, Hoefler T, Alistarh D-A. MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models. 2024. doi:10.5281/ZENODO.14213091' apa: 'Frantar, E., Castro, R., Chen, J., Hoefler, T., & Alistarh, D.-A. (2024). MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models. Zenodo. https://doi.org/10.5281/ZENODO.14213091' chicago: 'Frantar, Elias, Roberto Castro, Jiale Chen, Torsten Hoefler, and Dan-Adrian Alistarh. “MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models.” Zenodo, 2024. https://doi.org/10.5281/ZENODO.14213091.' ieee: 'E. Frantar, R. Castro, J. Chen, T. Hoefler, and D.-A. Alistarh, “MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models.” Zenodo, 2024.' ista: 'Frantar E, Castro R, Chen J, Hoefler T, Alistarh D-A. 2024. MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models, Zenodo, 10.5281/ZENODO.14213091.' mla: 'Frantar, Elias, et al. MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models. Zenodo, 2024, doi:10.5281/ZENODO.14213091.' short: E. Frantar, R. Castro, J. Chen, T. Hoefler, D.-A. Alistarh, (2024). corr_author: '1' date_created: 2025-06-24T06:09:18Z date_published: 2024-11-24T00:00:00Z date_updated: 2025-09-30T13:41:56Z day: '24' ddc: - '000' department: - _id: DaAl doi: 10.5281/ZENODO.14213091 fulldoi: https://doi.org/10.5281/ZENODO.14213091 has_accepted_license: '1' main_file_link: - open_access: '1' url: https://doi.org/10.5281/ZENODO.14213091 month: '11' oa: 1 oa_version: Published Version publisher: Zenodo related_material: record: - id: '19877' relation: used_for_analysis_in status: public status: public title: 'MARLIN: Mixed-precision auto-regressive parallel inference on Large Language Models' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2024' ... --- OA_type: closed access _id: '20039' abstract: - lang: eng text: This Comment presents a high-level protocol for data harmonization within large cohorts, in which it postulates four main steps including (1) expert review, (2) pre-statistical harmonization, (3) statistical harmonization, and (4) validation. acknowledgement: Funded by the European Union. Complementary funding was received by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee (10041392 and 10038599). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union, the European Health and Digital Executive Agency (HADEA) or UKRI. The European Union, HADEA or UKRI cannot be held responsible for them. This work received support from the Chinese Ministry for Science and Technology (MOST), the Horizon 2020-funded European Research Council advanced grant ‘STRATIFY’ (695313); the German Research Foundation (COPE; 675346; NE 1383/15-1 and BA 2088/7-1 (CoviDrug)), the National Natural Science Foundation of China grant 82150710554, the Hector II foundation and the German Center for Mental Health (DZPG) (01EE2301A, 01EE2304A, 01EE2301D). article_processing_charge: No article_type: comment author: - first_name: Maja full_name: Neidhart, Maja last_name: Neidhart - first_name: Rikka full_name: Kjelkenes, Rikka last_name: Kjelkenes - first_name: Karina full_name: Jansone, Karina last_name: Jansone - first_name: Barbora full_name: Rehák Bučková, Barbora last_name: Rehák Bučková - first_name: Nathalie full_name: Holz, Nathalie last_name: Holz - first_name: Frauke full_name: Nees, Frauke last_name: Nees - first_name: Henrik full_name: Walter, Henrik last_name: Walter - first_name: Gunter full_name: Schumann, Gunter last_name: Schumann - first_name: Michael A. full_name: Rapp, Michael A. last_name: Rapp - first_name: Tobias full_name: Banaschewski, Tobias last_name: Banaschewski - first_name: Emanuel full_name: Schwarz, Emanuel last_name: Schwarz - first_name: Andre full_name: Marquand, Andre last_name: Marquand - first_name: George full_name: Ogoh, George last_name: Ogoh - first_name: Bernd full_name: Stahl, Bernd last_name: Stahl - first_name: Allan H. full_name: Young, Allan H. last_name: Young - first_name: Sylvane full_name: Desrivières, Sylvane last_name: Desrivières - first_name: Nicholas full_name: Clinton, Nicholas last_name: Clinton - first_name: Paul full_name: Thompson, Paul last_name: Thompson - first_name: Ameli full_name: Schwalber, Ameli last_name: Schwalber - first_name: Jingyu full_name: Liu, Jingyu last_name: Liu - first_name: Vince full_name: Calhoun, Vince last_name: Calhoun - first_name: Xiao full_name: Chang, Xiao last_name: Chang - first_name: Yunman full_name: Xia, Yunman last_name: Xia - first_name: Yanting full_name: Gong, Yanting last_name: Gong - first_name: Tianye full_name: Jia, Tianye last_name: Jia - first_name: Paul full_name: Renner, Paul last_name: Renner - first_name: Sören full_name: Hese, Sören last_name: Hese - first_name: Arantxa full_name: Giner, Arantxa last_name: Giner - first_name: Mavi full_name: Sanchez, Mavi last_name: Sanchez - first_name: Elena full_name: Alvarez, Elena last_name: Alvarez - first_name: Bernhard full_name: Spanlang, Bernhard last_name: Spanlang - first_name: Charlie full_name: Pearmund, Charlie last_name: Pearmund - first_name: Anastasios Polykarpos full_name: Athanasiadis, Anastasios Polykarpos last_name: Athanasiadis - first_name: Lisa full_name: Otten, Lisa last_name: Otten - first_name: Séverine full_name: Pitel, Séverine last_name: Pitel - first_name: Spase full_name: Petkoski, Spase last_name: Petkoski - first_name: Viktor full_name: Jirsa, Viktor last_name: Jirsa - first_name: Karen full_name: Schmitt, Karen last_name: Schmitt - first_name: Johannes full_name: Wilbertz, Johannes last_name: Wilbertz - first_name: Myrto full_name: Patraskaki, Myrto last_name: Patraskaki - first_name: Peter full_name: Sommer, Peter last_name: Sommer - first_name: Stefanie full_name: Heilmann-Heimbach, Stefanie last_name: Heilmann-Heimbach - first_name: Carina M. full_name: Mathey, Carina M. last_name: Mathey - first_name: Abigail full_name: Miller, Abigail last_name: Miller - first_name: Isabelle full_name: Claus, Isabelle last_name: Claus - first_name: Markus M. full_name: Nöthen, Markus M. last_name: Nöthen - first_name: Per full_name: Hoffmann, Per last_name: Hoffmann - first_name: Andreas J. full_name: Forstner, Andreas J. last_name: Forstner - first_name: Alvaro full_name: Pastor, Alvaro last_name: Pastor - first_name: Jaime full_name: Gallego, Jaime last_name: Gallego - first_name: Francisco Eiroa full_name: Orosa, Francisco Eiroa last_name: Orosa - first_name: Guillem Feixas full_name: Viapiana, Guillem Feixas last_name: Viapiana - first_name: Mel full_name: Slater, Mel last_name: Slater - first_name: Lena full_name: Marr, Lena id: 4406F586-F248-11E8-B48F-1D18A9856A87 last_name: Marr - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Sarah Jane full_name: Böttger, Sarah Jane last_name: Böttger - first_name: Mira full_name: Tschorn, Mira last_name: Tschorn - first_name: Michael full_name: Rapp, Michael last_name: Rapp - first_name: Helga full_name: Ask, Helga last_name: Ask - first_name: Sara full_name: Fernandez, Sara last_name: Fernandez - first_name: Dennis full_name: Van Der Meer, Dennis last_name: Van Der Meer - first_name: Lars T. full_name: Westlye, Lars T. last_name: Westlye - first_name: Ole A. full_name: Andreassen, Ole A. last_name: Andreassen - first_name: Rieke full_name: Aden, Rieke last_name: Aden - first_name: Beke full_name: Seefried, Beke last_name: Seefried - first_name: Sebastian full_name: Siehl, Sebastian last_name: Siehl - first_name: Frauke full_name: Nees, Frauke last_name: Nees - first_name: Argyris full_name: Stringaris, Argyris last_name: Stringaris - first_name: Heike full_name: Tost, Heike last_name: Tost - first_name: Andreas full_name: Meyer-Lindenberg, Andreas last_name: Meyer-Lindenberg - first_name: Nina full_name: Christmann, Nina last_name: Christmann - first_name: Jamie full_name: Banks, Jamie last_name: Banks - first_name: Kerstin full_name: Schepanski, Kerstin last_name: Schepanski - first_name: Tatjana full_name: Schütz, Tatjana last_name: Schütz - first_name: Ulrike Helene full_name: Taron, Ulrike Helene last_name: Taron - first_name: Roland full_name: Eils, Roland last_name: Eils - first_name: Jean Charles full_name: Roy, Jean Charles last_name: Roy - first_name: Tristram A. full_name: Lett, Tristram A. last_name: Lett - first_name: Hedi full_name: Kebir, Hedi last_name: Kebir - first_name: Elli full_name: Polemiti, Elli last_name: Polemiti - first_name: Esther full_name: Hitchen, Esther last_name: Hitchen - first_name: Marcel full_name: Jentsch, Marcel last_name: Jentsch - first_name: Emin full_name: Serin, Emin last_name: Serin - first_name: Antoine full_name: Bernas, Antoine last_name: Bernas - first_name: Nilakshi full_name: Vaidya, Nilakshi last_name: Vaidya - first_name: Sven full_name: Twardziok, Sven last_name: Twardziok - first_name: Markus full_name: Ralser, Markus last_name: Ralser - first_name: Andreas full_name: Heinz, Andreas last_name: Heinz citation: ama: Neidhart M, Kjelkenes R, Jansone K, et al. A protocol for data harmonization in large cohorts. Nature Mental Health. 2024;2(10):1134-1137. doi:10.1038/s44220-024-00315-0 apa: Neidhart, M., Kjelkenes, R., Jansone, K., Rehák Bučková, B., Holz, N., Nees, F., … Heinz, A. (2024). A protocol for data harmonization in large cohorts. Nature Mental Health. Springer Nature. https://doi.org/10.1038/s44220-024-00315-0 chicago: Neidhart, Maja, Rikka Kjelkenes, Karina Jansone, Barbora Rehák Bučková, Nathalie Holz, Frauke Nees, Henrik Walter, et al. “A Protocol for Data Harmonization in Large Cohorts.” Nature Mental Health. Springer Nature, 2024. https://doi.org/10.1038/s44220-024-00315-0. ieee: M. Neidhart et al., “A protocol for data harmonization in large cohorts,” Nature Mental Health, vol. 2, no. 10. Springer Nature, pp. 1134–1137, 2024. ista: Neidhart M, Kjelkenes R, Jansone K, Rehák Bučková B, Holz N, Nees F, Walter H, Schumann G, Rapp MA, Banaschewski T, Schwarz E, Marquand A, Ogoh G, Stahl B, Young AH, Desrivières S, Clinton N, Thompson P, Schwalber A, Liu J, Calhoun V, Chang X, Xia Y, Gong Y, Jia T, Renner P, Hese S, Giner A, Sanchez M, Alvarez E, Spanlang B, Pearmund C, Athanasiadis AP, Otten L, Pitel S, Petkoski S, Jirsa V, Schmitt K, Wilbertz J, Patraskaki M, Sommer P, Heilmann-Heimbach S, Mathey CM, Miller A, Claus I, Nöthen MM, Hoffmann P, Forstner AJ, Pastor A, Gallego J, Orosa FE, Viapiana GF, Slater M, Marr L, Novarino G, Böttger SJ, Tschorn M, Rapp M, Ask H, Fernandez S, Van Der Meer D, Westlye LT, Andreassen OA, Aden R, Seefried B, Siehl S, Nees F, Stringaris A, Tost H, Meyer-Lindenberg A, Christmann N, Banks J, Schepanski K, Schütz T, Taron UH, Eils R, Roy JC, Lett TA, Kebir H, Polemiti E, Hitchen E, Jentsch M, Serin E, Bernas A, Vaidya N, Twardziok S, Ralser M, Heinz A. 2024. A protocol for data harmonization in large cohorts. Nature Mental Health. 2(10), 1134–1137. mla: Neidhart, Maja, et al. “A Protocol for Data Harmonization in Large Cohorts.” Nature Mental Health, vol. 2, no. 10, Springer Nature, 2024, pp. 1134–37, doi:10.1038/s44220-024-00315-0. short: M. Neidhart, R. Kjelkenes, K. Jansone, B. Rehák Bučková, N. Holz, F. Nees, H. Walter, G. Schumann, M.A. Rapp, T. Banaschewski, E. Schwarz, A. Marquand, G. Ogoh, B. Stahl, A.H. Young, S. Desrivières, N. Clinton, P. Thompson, A. Schwalber, J. Liu, V. Calhoun, X. Chang, Y. Xia, Y. Gong, T. Jia, P. Renner, S. Hese, A. Giner, M. Sanchez, E. Alvarez, B. Spanlang, C. Pearmund, A.P. Athanasiadis, L. Otten, S. Pitel, S. Petkoski, V. Jirsa, K. Schmitt, J. Wilbertz, M. Patraskaki, P. Sommer, S. Heilmann-Heimbach, C.M. Mathey, A. Miller, I. Claus, M.M. Nöthen, P. Hoffmann, A.J. Forstner, A. Pastor, J. Gallego, F.E. Orosa, G.F. Viapiana, M. Slater, L. Marr, G. Novarino, S.J. Böttger, M. Tschorn, M. Rapp, H. Ask, S. Fernandez, D. Van Der Meer, L.T. Westlye, O.A. Andreassen, R. Aden, B. Seefried, S. Siehl, F. Nees, A. Stringaris, H. Tost, A. Meyer-Lindenberg, N. Christmann, J. Banks, K. Schepanski, T. Schütz, U.H. Taron, R. Eils, J.C. Roy, T.A. Lett, H. Kebir, E. Polemiti, E. Hitchen, M. Jentsch, E. Serin, A. Bernas, N. Vaidya, S. Twardziok, M. Ralser, A. Heinz, Nature Mental Health 2 (2024) 1134–1137. date_created: 2025-07-20T22:02:04Z date_published: 2024-10-01T00:00:00Z date_updated: 2025-07-22T08:59:10Z day: '01' department: - _id: GaNo doi: 10.1038/s44220-024-00315-0 fulldoi: https://doi.org/10.1038/s44220-024-00315-0 intvolume: ' 2' issue: '10' language: - iso: eng month: '10' oa_version: None page: 1134-1137 publication: Nature Mental Health publication_identifier: eissn: - 2731-6076 publication_status: published publisher: Springer Nature quality_controlled: '1' scopus_import: '1' status: public title: A protocol for data harmonization in large cohorts type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 2 year: '2024' ... --- OA_place: publisher OA_type: free access _id: '20057' abstract: - lang: eng text: In article number 2305128, Qing Sun, Shang Wang, Yanhong Tian, Andreu Cabot, and co-workers report an investigation of the energy-storage mechanism of a layered Bi2Te3-based cathode for aqueous zinc-ion batteries (ZIBs). They demonstrate that the zinc ion is not inserted into the cathode as previously assumed; in contrast, proton charge-storage dominates the process. They also demonstrate the great application prospects of aqueous ZIBs in flexible electronics via jet printing technology. article_number: '2470004' article_processing_charge: No author: - first_name: Guifang full_name: Zeng, Guifang last_name: Zeng - first_name: Qing full_name: Sun, Qing last_name: Sun - first_name: Sharona full_name: Horta, Sharona id: 03a7e858-01b1-11ec-8b71-99ae6c4a05bc last_name: Horta - first_name: Shang full_name: Wang, Shang last_name: Wang - first_name: Xuan full_name: Lu, Xuan last_name: Lu - first_name: Chao Yue full_name: Zhang, Chao Yue last_name: Zhang - first_name: Jing full_name: Li, Jing last_name: Li - first_name: Junshan full_name: Li, Junshan last_name: Li - first_name: Lijie full_name: Ci, Lijie last_name: Ci - first_name: Yanhong full_name: Tian, Yanhong last_name: Tian - first_name: Maria full_name: Ibáñez, Maria id: 43C61214-F248-11E8-B48F-1D18A9856A87 last_name: Ibáñez orcid: 0000-0001-5013-2843 - first_name: Andreu full_name: Cabot, Andreu last_name: Cabot citation: ama: 'Zeng G, Sun Q, Horta S, et al. A Layered Bi2Te3@PPy Cathode for Aqueous Zinc‐Ion Batteries: Mechanism and Application in Printed Flexible Batteries. Vol 36. Wiley; 2024. doi:10.1002/adma.202470004' apa: 'Zeng, G., Sun, Q., Horta, S., Wang, S., Lu, X., Zhang, C. Y., … Cabot, A. (2024). A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries. Advanced Materials (Vol. 36). Wiley. https://doi.org/10.1002/adma.202470004' chicago: 'Zeng, Guifang, Qing Sun, Sharona Horta, Shang Wang, Xuan Lu, Chao Yue Zhang, Jing Li, et al. A Layered Bi2Te3@PPy Cathode for Aqueous Zinc‐Ion Batteries: Mechanism and Application in Printed Flexible Batteries. Advanced Materials. Vol. 36. Wiley, 2024. https://doi.org/10.1002/adma.202470004.' ieee: 'G. Zeng et al., A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries, vol. 36, no. 1. Wiley, 2024.' ista: 'Zeng G, Sun Q, Horta S, Wang S, Lu X, Zhang CY, Li J, Li J, Ci L, Tian Y, Ibáñez M, Cabot A. 2024. A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries, Wiley,p.' mla: 'Zeng, Guifang, et al. “A Layered Bi2Te3@PPy Cathode for Aqueous Zinc‐Ion Batteries: Mechanism and Application in Printed Flexible Batteries.” Advanced Materials, vol. 36, no. 1, 2470004, Wiley, 2024, doi:10.1002/adma.202470004.' short: 'G. Zeng, Q. Sun, S. Horta, S. Wang, X. Lu, C.Y. Zhang, J. Li, J. Li, L. Ci, Y. Tian, M. Ibáñez, A. Cabot, A Layered Bi2Te3@PPy Cathode for Aqueous Zinc‐Ion Batteries: Mechanism and Application in Printed Flexible Batteries, Wiley, 2024.' date_created: 2025-07-21T08:53:06Z date_published: 2024-01-04T00:00:00Z date_updated: 2026-06-18T18:19:28Z day: '04' ddc: - '530' department: - _id: MaIb doi: 10.1002/adma.202470004 fulldoi: https://doi.org/10.1002/adma.202470004 intvolume: ' 36' issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1002/adma.202470004 month: '01' oa: 1 oa_version: Published Version publication: Advanced Materials publication_identifier: eissn: - 1521-4095 issn: - 0935-9648 publication_status: published publisher: Wiley quality_controlled: '1' status: public title: 'A layered Bi2Te3@PPy cathode for aqueous Zinc‐Ion batteries: Mechanism and application in printed flexible batteries' type: other_academic_publication user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 36 year: '2024' ...