[{"department":[{"_id":"PeJo"}],"citation":{"ama":"Ramming H, Theuerkauf L, Hoos O, Lichter K, Kittel-Schneider S. The association between maximal muscle strength, disease severity and psychopharmacotherapy among young to middle-aged inpatients with affective disorders – a prospective pilot study. BMC Psychiatry. 2024;24. doi:10.1186/s12888-024-05849-2","ista":"Ramming H, Theuerkauf L, Hoos O, Lichter K, Kittel-Schneider S. 2024. The association between maximal muscle strength, disease severity and psychopharmacotherapy among young to middle-aged inpatients with affective disorders – a prospective pilot study. BMC Psychiatry. 24, 401.","mla":"Ramming, Hannah, et al. “The Association between Maximal Muscle Strength, Disease Severity and Psychopharmacotherapy among Young to Middle-Aged Inpatients with Affective Disorders – a Prospective Pilot Study.” BMC Psychiatry, vol. 24, 401, Springer Nature, 2024, doi:10.1186/s12888-024-05849-2.","ieee":"H. Ramming, L. Theuerkauf, O. Hoos, K. Lichter, and S. Kittel-Schneider, “The association between maximal muscle strength, disease severity and psychopharmacotherapy among young to middle-aged inpatients with affective disorders – a prospective pilot study,” BMC Psychiatry, vol. 24. Springer Nature, 2024.","apa":"Ramming, H., Theuerkauf, L., Hoos, O., Lichter, K., & Kittel-Schneider, S. (2024). The association between maximal muscle strength, disease severity and psychopharmacotherapy among young to middle-aged inpatients with affective disorders – a prospective pilot study. BMC Psychiatry. Springer Nature. https://doi.org/10.1186/s12888-024-05849-2","chicago":"Ramming, Hannah, Linda Theuerkauf, Olaf Hoos, Katharina Lichter, and Sarah Kittel-Schneider. “The Association between Maximal Muscle Strength, Disease Severity and Psychopharmacotherapy among Young to Middle-Aged Inpatients with Affective Disorders – a Prospective Pilot Study.” BMC Psychiatry. Springer Nature, 2024. https://doi.org/10.1186/s12888-024-05849-2.","short":"H. Ramming, L. Theuerkauf, O. Hoos, K. Lichter, S. Kittel-Schneider, BMC Psychiatry 24 (2024)."},"status":"public","oa_version":"Published Version","language":[{"iso":"eng"}],"intvolume":" 24","date_created":"2024-06-09T22:01:01Z","article_number":"401","quality_controlled":"1","_id":"17122","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"date_updated":"2025-04-23T07:51:51Z","file_date_updated":"2024-06-10T10:44:26Z","title":"The association between maximal muscle strength, disease severity and psychopharmacotherapy among young to middle-aged inpatients with affective disorders – a prospective pilot study","doi":"10.1186/s12888-024-05849-2","date_published":"2024-05-29T00:00:00Z","publication_status":"published","pmid":1,"author":[{"first_name":"Hannah","last_name":"Ramming","full_name":"Ramming, Hannah"},{"last_name":"Theuerkauf","first_name":"Linda","full_name":"Theuerkauf, Linda"},{"last_name":"Hoos","first_name":"Olaf","full_name":"Hoos, Olaf"},{"full_name":"Lichter, Katharina","first_name":"Katharina","last_name":"Lichter","orcid":"0000-0002-1485-0351","id":"39302e62-fcfc-11ec-8196-8b01447dbd3d"},{"first_name":"Sarah","last_name":"Kittel-Schneider","full_name":"Kittel-Schneider, Sarah"}],"file":[{"file_name":"2024_BMCPsychiatry_Ramming.pdf","file_id":"17131","access_level":"open_access","content_type":"application/pdf","file_size":2320147,"date_created":"2024-06-10T10:44:26Z","success":1,"creator":"dernst","date_updated":"2024-06-10T10:44:26Z","checksum":"5df60d3c9388955c5b682ea34748d59d","relation":"main_file"}],"oa":1,"article_processing_charge":"Yes (via OA deal)","external_id":{"pmid":["38811916"]},"publication":"BMC Psychiatry","month":"05","publication_identifier":{"eissn":["1471-244X"]},"scopus_import":"1","abstract":[{"lang":"eng","text":"Background: Motor alterations and lowered physical activity are common in affective disorders. Previous research has indicated a link between depressive symptoms and declining muscle strength primarily focusing on the elderly but not younger individuals. Thus, we aimed to evaluate the relationship between mood and muscle strength in a sample of N = 73 young to middle-aged hospitalized patients (18–49 years, mean age 30.7 years) diagnosed with major depressive, bipolar and schizoaffective disorder, with a focus on moderating effects of psychopharmacotherapy. The study was carried out as a prospective observational study at a German psychiatric university hospital between September 2021 and March 2022.\r\nMethods: Employing a standardized strength circuit consisting of computerized strength training devices, we measured the maximal muscle strength (Fmax) using three repetitions maximum across four muscle regions (abdomen, arm, back, leg) at three time points (t1-t3) over four weeks accompanied by psychometric testing (MADRS, BPRS, YRMS) and blood lipid profiling in a clinical setting. For analysis of psychopharmacotherapy, medication was split into activating (AM) and inhibiting (IM) medication and dosages were normalized by the respective WHO defined daily dose.\r\nResults: While we observed a significant decrease of the MADRS score and increase of the relative total Fmax (rTFmax) in the first two weeks (t1-t2) but not later (both p < .001), we did not reveal a significant bivariate correlation between disease severity (MADRS) and muscle strength (rTFmax) at any of the timepoints. Individuals with longer disease history displayed reduced rTFmax (p = .048). IM was significantly associated with decreased rTFmax (p = .032). Regression models provide a more substantial effect of gender, age, and IM on muscle strength than the depressive episode itself (p < .001).\r\nConclusions: The results of the study indicate that disease severity and muscle strength are not associated in young to middle-aged inpatients with affective disorders using a strength circuit as observational measurement. Future research will be needed to differentiate the effect of medication, gender, and age on muscle strength and to develop interventions for prevention of muscle weakness, especially in younger patients with chronic affective illnesses."}],"day":"29","volume":24,"acknowledgement":"This work was supported by the project ‘Fellows Ride’ of the Thomas Lurz und Dieter Schneider Stiftung and by the ‘Würzburger Bündnis gegen Depression’ (to S.K.-S).\r\nOpen Access funding enabled and organized by Projekt DEAL.","has_accepted_license":"1","ddc":["570"],"publisher":"Springer Nature","license":"https://creativecommons.org/licenses/by/4.0/","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","fulldoi":"https://doi.org/10.1186/s12888-024-05849-2","year":"2024","type":"journal_article","article_type":"original"},{"date_created":"2024-06-14T09:06:36Z","quality_controlled":"1","date_updated":"2024-06-17T09:40:37Z","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"_id":"17139","department":[{"_id":"ScienComp"}],"citation":{"mla":"Schlögl, Alois, et al. “How Much Memory per CPU Core Is Requested?” ASHPC24 - Austrian-Slovenian HPC Meeting 2024, EuroCC Austria, 2024, p. 46, doi:10.25365/phaidra.463.","ista":"Schlögl A, Khalid W, Elefante S, Stadlbauer S. 2024. How much memory per CPU core is requested? ASHPC24 - Austrian-Slovenian HPC Meeting 2024. ASHPC: Austrian-Slovenian HPC Meeting, 46.","ama":"Schlögl A, Khalid W, Elefante S, Stadlbauer S. How much memory per CPU core is requested? In: ASHPC24 - Austrian-Slovenian HPC Meeting 2024. EuroCC Austria; 2024:46. doi:10.25365/phaidra.463","ieee":"A. Schlögl, W. Khalid, S. Elefante, and S. Stadlbauer, “How much memory per CPU core is requested?,” in ASHPC24 - Austrian-Slovenian HPC Meeting 2024, Grundlsee, Austria, 2024, p. 46.","chicago":"Schlögl, Alois, Waleed Khalid, Stefano Elefante, and Stephan Stadlbauer. “How Much Memory per CPU Core Is Requested?” In ASHPC24 - Austrian-Slovenian HPC Meeting 2024, 46. EuroCC Austria, 2024. https://doi.org/10.25365/phaidra.463.","apa":"Schlögl, A., Khalid, W., Elefante, S., & Stadlbauer, S. (2024). How much memory per CPU core is requested? In ASHPC24 - Austrian-Slovenian HPC Meeting 2024 (p. 46). Grundlsee, Austria: EuroCC Austria. https://doi.org/10.25365/phaidra.463","short":"A. Schlögl, W. Khalid, S. Elefante, S. Stadlbauer, in:, ASHPC24 - Austrian-Slovenian HPC Meeting 2024, EuroCC Austria, 2024, p. 46."},"status":"public","oa_version":"Published Version","language":[{"iso":"eng"}],"file_date_updated":"2024-06-17T09:36:51Z","title":"How much memory per CPU core is requested?","doi":"10.25365/phaidra.463","publication_status":"published","author":[{"first_name":"Alois","orcid":"0000-0002-5621-8100","last_name":"Schlögl","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","full_name":"Schlögl, Alois"},{"full_name":"Khalid, Waleed","id":"097c0562-3cf0-11ee-8fd3-e7a79c1e2fd1","last_name":"Khalid","first_name":"Waleed"},{"first_name":"Stefano","last_name":"Elefante","id":"490F40CE-F248-11E8-B48F-1D18A9856A87","full_name":"Elefante, Stefano"},{"full_name":"Stadlbauer, Stephan","first_name":"Stephan","id":"4D0BC184-F248-11E8-B48F-1D18A9856A87","last_name":"Stadlbauer"}],"date_published":"2024-06-13T00:00:00Z","file":[{"creator":"dernst","success":1,"date_created":"2024-06-17T09:36:51Z","relation":"main_file","checksum":"f7d3dded6df2dcdb4818904cf2e1c183","date_updated":"2024-06-17T09:36:51Z","content_type":"application/pdf","file_size":206746,"file_id":"17153","access_level":"open_access","file_name":"2024_ASHPC_Schloegl.pdf"}],"page":"46","publication_identifier":{"isbn":["9783200096455"]},"day":"13","has_accepted_license":"1","ddc":["000"],"publisher":"EuroCC Austria","oa":1,"article_processing_charge":"No","publication":"ASHPC24 - Austrian-Slovenian HPC Meeting 2024","month":"06","type":"conference_abstract","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","fulldoi":"https://doi.org/10.25365/phaidra.463","conference":{"start_date":"2024-06-10","end_date":"2024-06-13","location":"Grundlsee, Austria","name":"ASHPC: Austrian-Slovenian HPC Meeting"},"year":"2024"},{"type":"journal_article","article_type":"original","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","issue":"45","year":"2024","fulldoi":"https://doi.org/10.1002/advs.202408416","abstract":[{"lang":"eng","text":"Inorganic nanoparticles can be assembled into superlattices with unique optical and magnetic properties arising from collective behavior. Protein cages can be utilized to guide this assembly by encapsulating nanoparticles and promoting their assembly into ordered structures. However, creating ordered multi-component structures with different protein cage types and sizes remains a challenge. Here, the co-crystallization of two different protein cages (cowpea chlorotic mottle virus and ferritin) characterized by opposing surface charges and unequal diameter is shown. Precise tuning of the electrostatic attraction between the cages enabled the preparation of binary crystals with dimensions up to several tens of micrometers. Additionally, binary metal nanoparticle superlattices are achieved by loading gold and iron oxide nanoparticles inside the cavities of the protein cages. The resulting structure adopts an AB2FCC configuration that also impacts the dipolar coupling between the particles and hence the optical properties of the crystals, providing key insight for the future preparation of plasmonic and magnetic nanoparticle metamaterials."}],"scopus_import":"1","publication_identifier":{"eissn":["2198-3844"]},"volume":11,"day":"04","has_accepted_license":"1","ddc":["540"],"acknowledgement":"This work has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant Agreement No. 101002258). The authors acknowledge the provision of facilities and technical support by Aalto University Bioeconomy Facilities and OtaNanoNanomicroscopy Center (Aalto-NMC). This work was carried out under the Academy of Finland's Centers of Excellence Programme, Life Inspired Hybrid Materials (LIBER) Center of Excellence (2022–2029), project number 346110 and 346112.","publisher":"Wiley","article_processing_charge":"Yes","DOAJ_listed":"1","oa":1,"external_id":{"pmid":["39401426"],"isi":["001330745600001"]},"OA_place":"publisher","publication":"Advanced Science","month":"12","doi":"10.1002/advs.202408416","isi":1,"file_date_updated":"2025-01-13T09:16:25Z","title":"Protein cage directed assembly of binary nanoparticle superlattices","author":[{"full_name":"Zhou, Yu","last_name":"Zhou","first_name":"Yu"},{"last_name":"Shaukat","first_name":"Ahmed","full_name":"Shaukat, Ahmed"},{"full_name":"Seitsonen, Jani","last_name":"Seitsonen","first_name":"Jani"},{"full_name":"Rigoni, Carlo","first_name":"Carlo","id":"c5df3b62-5f9e-11ef-ba3c-b97f5b5b5ef0","last_name":"Rigoni"},{"last_name":"Timonen","first_name":"Jaakko V.I.","full_name":"Timonen, Jaakko V.I."},{"full_name":"Kostiainen, Mauri A.","last_name":"Kostiainen","first_name":"Mauri A."}],"publication_status":"published","pmid":1,"date_published":"2024-12-04T00:00:00Z","file":[{"file_size":7040083,"content_type":"application/pdf","creator":"dernst","date_created":"2025-01-13T09:16:25Z","success":1,"relation":"main_file","checksum":"00451eeb2c9eecf1ff41ad243c793a51","date_updated":"2025-01-13T09:16:25Z","file_name":"2024_AdvancedScience_Zhou.pdf","file_id":"18834","access_level":"open_access"}],"OA_type":"gold","date_created":"2024-10-20T22:02:07Z","intvolume":" 11","date_updated":"2025-09-08T14:20:31Z","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"_id":"18451","quality_controlled":"1","article_number":"2408416","citation":{"short":"Y. Zhou, A. Shaukat, J. Seitsonen, C. Rigoni, J.V.I. Timonen, M.A. Kostiainen, Advanced Science 11 (2024).","chicago":"Zhou, Yu, Ahmed Shaukat, Jani Seitsonen, Carlo Rigoni, Jaakko V.I. Timonen, and Mauri A. Kostiainen. “Protein Cage Directed Assembly of Binary Nanoparticle Superlattices.” Advanced Science. Wiley, 2024. https://doi.org/10.1002/advs.202408416.","apa":"Zhou, Y., Shaukat, A., Seitsonen, J., Rigoni, C., Timonen, J. V. I., & Kostiainen, M. A. (2024). Protein cage directed assembly of binary nanoparticle superlattices. Advanced Science. Wiley. https://doi.org/10.1002/advs.202408416","ieee":"Y. Zhou, A. Shaukat, J. Seitsonen, C. Rigoni, J. V. I. Timonen, and M. A. Kostiainen, “Protein cage directed assembly of binary nanoparticle superlattices,” Advanced Science, vol. 11, no. 45. Wiley, 2024.","mla":"Zhou, Yu, et al. “Protein Cage Directed Assembly of Binary Nanoparticle Superlattices.” Advanced Science, vol. 11, no. 45, 2408416, Wiley, 2024, doi:10.1002/advs.202408416.","ama":"Zhou Y, Shaukat A, Seitsonen J, Rigoni C, Timonen JVI, Kostiainen MA. Protein cage directed assembly of binary nanoparticle superlattices. Advanced Science. 2024;11(45). doi:10.1002/advs.202408416","ista":"Zhou Y, Shaukat A, Seitsonen J, Rigoni C, Timonen JVI, Kostiainen MA. 2024. Protein cage directed assembly of binary nanoparticle superlattices. Advanced Science. 11(45), 2408416."},"department":[{"_id":"RaKl"}],"status":"public","oa_version":"Published Version","language":[{"iso":"eng"}]},{"publisher":"Springer Nature","ddc":["572"],"has_accepted_license":"1","day":"07","volume":15,"publication_identifier":{"issn":["2041-1723"]},"scopus_import":"1","abstract":[{"lang":"eng","text":"Clinical implementation of therapeutic genome editing relies on efficient in vivo delivery and the safety of CRISPR-Cas tools. Previously, we identified PsCas9 as a Type II-B family enzyme capable of editing mouse liver genome upon adenoviral delivery without detectable off-targets and reduced chromosomal translocations. Yet, its efficacy remains insufficient with non-viral delivery, a common challenge for many Cas9 orthologues. Here, we sought to redesign PsCas9 for in vivo editing using lipid nanoparticles. We solve the PsCas9 ribonucleoprotein structure with cryo-EM and characterize it biochemically, providing a basis for its rational engineering. Screening over numerous guide RNA and protein variants lead us to develop engineered PsCas9 (ePsCas9) with up to 20-fold increased activity across various targets and preserved safety advantages. We apply the same design principles to boost the activity of FnCas9, an enzyme phylogenetically relevant to PsCas9. Remarkably, a single administration of mRNA encoding ePsCas9 and its guide formulated with lipid nanoparticles results in high levels of editing in the Pcsk9 gene in mouse liver, a clinically relevant target for hypercholesterolemia treatment. Collectively, our findings introduce ePsCas9 as a highly efficient, and precise tool for therapeutic genome editing, in addition to the engineering strategy applicable to other Cas9 orthologues."}],"month":"11","publication":"Nature Communications","OA_place":"publisher","DOAJ_listed":"1","oa":1,"article_processing_charge":"Yes","article_type":"original","type":"journal_article","fulldoi":"https://doi.org/10.1038/s41467-024-53418-8","year":"2024","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","quality_controlled":"1","article_number":"9173","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","image":"/images/cc_by_nc_nd.png","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","short":"CC BY-NC-ND (4.0)"},"_id":"18545","date_updated":"2024-11-13T08:19:50Z","intvolume":" 15","date_created":"2024-11-12T10:18:04Z","extern":"1","language":[{"iso":"eng"}],"oa_version":"Published Version","status":"public","citation":{"chicago":"Degtev, Dmitrii, Jack Peter Kelly Bravo, Aikaterini Emmanouilidi, Aleksandar Zdravković, Oi Kuan Choong, Julia Liz Touza, Niklas Selfjord, et al. “Engineered PsCas9 Enables Therapeutic Genome Editing in Mouse Liver with Lipid Nanoparticles.” Nature Communications. Springer Nature, 2024. https://doi.org/10.1038/s41467-024-53418-8.","apa":"Degtev, D., Bravo, J. P. K., Emmanouilidi, A., Zdravković, A., Choong, O. K., Liz Touza, J., … Sienski, G. (2024). Engineered PsCas9 enables therapeutic genome editing in mouse liver with lipid nanoparticles. Nature Communications. Springer Nature. https://doi.org/10.1038/s41467-024-53418-8","short":"D. Degtev, J.P.K. Bravo, A. Emmanouilidi, A. Zdravković, O.K. Choong, J. Liz Touza, N. Selfjord, I. Weisheit, M. Francescatto, P. Akcakaya, M. Porritt, M. Maresca, D. Taylor, G. Sienski, Nature Communications 15 (2024).","mla":"Degtev, Dmitrii, et al. “Engineered PsCas9 Enables Therapeutic Genome Editing in Mouse Liver with Lipid Nanoparticles.” Nature Communications, vol. 15, 9173, Springer Nature, 2024, doi:10.1038/s41467-024-53418-8.","ista":"Degtev D, Bravo JPK, Emmanouilidi A, Zdravković A, Choong OK, Liz Touza J, Selfjord N, Weisheit I, Francescatto M, Akcakaya P, Porritt M, Maresca M, Taylor D, Sienski G. 2024. Engineered PsCas9 enables therapeutic genome editing in mouse liver with lipid nanoparticles. Nature Communications. 15, 9173.","ama":"Degtev D, Bravo JPK, Emmanouilidi A, et al. Engineered PsCas9 enables therapeutic genome editing in mouse liver with lipid nanoparticles. Nature Communications. 2024;15. doi:10.1038/s41467-024-53418-8","ieee":"D. Degtev et al., “Engineered PsCas9 enables therapeutic genome editing in mouse liver with lipid nanoparticles,” Nature Communications, vol. 15. Springer Nature, 2024."},"file":[{"creator":"jbravo","date_created":"2024-11-12T10:18:32Z","success":1,"relation":"main_file","date_updated":"2024-11-12T10:18:32Z","checksum":"dcfadc806f4144d065eb8e2032554782","content_type":"application/pdf","file_size":2967001,"file_id":"18546","access_level":"open_access","file_name":"s41467-024-53418-8.pdf"}],"publication_status":"published","author":[{"first_name":"Dmitrii","last_name":"Degtev","full_name":"Degtev, Dmitrii"},{"id":"96aecfa5-8931-11ee-af30-aa6a5d6eee0e","last_name":"Bravo","orcid":"0000-0003-0456-0753","first_name":"Jack Peter Kelly","full_name":"Bravo, Jack Peter Kelly"},{"full_name":"Emmanouilidi, Aikaterini","last_name":"Emmanouilidi","first_name":"Aikaterini"},{"last_name":"Zdravković","first_name":"Aleksandar","full_name":"Zdravković, Aleksandar"},{"first_name":"Oi Kuan","last_name":"Choong","full_name":"Choong, Oi Kuan"},{"full_name":"Liz Touza, Julia","first_name":"Julia","last_name":"Liz Touza"},{"full_name":"Selfjord, Niklas","last_name":"Selfjord","first_name":"Niklas"},{"full_name":"Weisheit, Isabel","last_name":"Weisheit","first_name":"Isabel"},{"last_name":"Francescatto","first_name":"Margherita","full_name":"Francescatto, Margherita"},{"first_name":"Pinar","last_name":"Akcakaya","full_name":"Akcakaya, Pinar"},{"full_name":"Porritt, Michelle","first_name":"Michelle","last_name":"Porritt"},{"last_name":"Maresca","first_name":"Marcello","full_name":"Maresca, Marcello"},{"full_name":"Taylor, David","first_name":"David","last_name":"Taylor"},{"last_name":"Sienski","first_name":"Grzegorz","full_name":"Sienski, Grzegorz"}],"date_published":"2024-11-07T00:00:00Z","file_date_updated":"2024-11-12T10:18:32Z","title":"Engineered PsCas9 enables therapeutic genome editing in mouse liver with lipid nanoparticles","doi":"10.1038/s41467-024-53418-8","OA_type":"gold"},{"doi":"10.15479/AT:ISTA:18579","title":"A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics","file_date_updated":"2024-12-09T12:54:55Z","date_published":"2024-12-09T00:00:00Z","file":[{"file_size":800647957,"content_type":"application/x-zip-compressed","creator":"symonova","date_created":"2024-12-06T13:28:18Z","relation":"main_file","date_updated":"2024-12-09T10:24:25Z","checksum":"8b13990ca1a458ae3f3ae54c2e888564","file_name":"electro_physiology_data.zip","file_id":"18625","access_level":"open_access"},{"relation":"main_file","date_updated":"2024-12-09T10:21:10Z","checksum":"c5a4d71c5f29c009c3d96a3244532afa","creator":"symonova","date_created":"2024-12-09T10:21:10Z","success":1,"content_type":"application/x-zip-compressed","file_size":828410832,"access_level":"open_access","file_id":"18636","file_name":"NN_vLGN_Ca_data.zip"},{"access_level":"open_access","file_id":"18637","file_name":"readme.txt","relation":"main_file","date_updated":"2024-12-09T12:54:55Z","checksum":"63651df0186196969553dc48b467f6ab","creator":"symonova","date_created":"2024-12-09T12:54:55Z","success":1,"content_type":"text/plain","file_size":505}],"author":[{"last_name":"Vega Zuniga","id":"2E7C4E78-F248-11E8-B48F-1D18A9856A87","first_name":"Tomas A","full_name":"Vega Zuniga, Tomas A"},{"full_name":"Sumser, Anton L","first_name":"Anton L","orcid":"0000-0002-4792-1881","last_name":"Sumser","id":"3320A096-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Symonova, Olga","first_name":"Olga","orcid":"0000-0003-2012-9947","last_name":"Symonova","id":"3C0C7BC6-F248-11E8-B48F-1D18A9856A87"},{"id":"3B8B25A8-F248-11E8-B48F-1D18A9856A87","last_name":"Koppensteiner","orcid":"0000-0002-3509-1948","first_name":"Peter","full_name":"Koppensteiner, Peter"},{"full_name":"Schmidt, Florian","first_name":"Florian","last_name":"Schmidt","id":"A2EF226A-AF19-11E9-924C-0525E6697425"},{"full_name":"Jösch, Maximilian A","first_name":"Maximilian A","id":"2BD278E6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-3937-1330","last_name":"Jösch"}],"citation":{"short":"T.A. Vega Zuniga, A.L. Sumser, O. Symonova, P. Koppensteiner, F. Schmidt, M.A. Jösch, (2024).","apa":"Vega Zuniga, T. A., Sumser, A. L., Symonova, O., Koppensteiner, P., Schmidt, F., & Jösch, M. A. (2024). A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:18579","chicago":"Vega Zuniga, Tomas A, Anton L Sumser, Olga Symonova, Peter Koppensteiner, Florian Schmidt, and Maximilian A Jösch. “A Thalamic Hub-and-Spoke Network Enables Visual Perception during Action by Coordinating Visuomotor Dynamics.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/AT:ISTA:18579.","ieee":"T. A. Vega Zuniga, A. L. Sumser, O. Symonova, P. Koppensteiner, F. Schmidt, and M. A. Jösch, “A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics.” Institute of Science and Technology Austria, 2024.","ista":"Vega Zuniga TA, Sumser AL, Symonova O, Koppensteiner P, Schmidt F, Jösch MA. 2024. A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics, Institute of Science and Technology Austria, 10.15479/AT:ISTA:18579.","ama":"Vega Zuniga TA, Sumser AL, Symonova O, Koppensteiner P, Schmidt F, Jösch MA. A thalamic hub-and-spoke network enables visual perception during action by coordinating visuomotor dynamics. 2024. doi:10.15479/AT:ISTA:18579","mla":"Vega Zuniga, Tomas A., et al. A Thalamic Hub-and-Spoke Network Enables Visual Perception during Action by Coordinating Visuomotor Dynamics. Institute of Science and Technology Austria, 2024, doi:10.15479/AT:ISTA:18579."},"department":[{"_id":"MaJö"}],"status":"public","oa_version":"Published Version","ec_funded":1,"date_created":"2024-11-22T13:48:12Z","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"_id":"18579","date_updated":"2026-06-18T18:12:08Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2024","project":[{"name":"Connecting sensory with motor processing in the superior colliculus","_id":"264FEA02-B435-11E9-9278-68D0E5697425","grant_number":"ALTF 1098-2017"},{"_id":"266D407A-B435-11E9-9278-68D0E5697425","name":"Neuronal networks of salience and spatial detection in the murine superior colliculus","grant_number":"LT000256"},{"grant_number":"756502","name":"Circuits of Visual Attention","_id":"2634E9D2-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"grant_number":"101086580","name":"Action Selection in the Midbrain: Neuromodulation of Visuomotor Senses","_id":"bdaf81a8-d553-11ed-ba76-c95961984540"}],"fulldoi":"https://doi.org/10.15479/AT:ISTA:18579","type":"research_data","acknowledged_ssus":[{"_id":"ScienComp"},{"_id":"PreCl"},{"_id":"M-Shop"},{"_id":"Bio"},{"_id":"LifeSc"}],"article_processing_charge":"No","oa":1,"OA_place":"publisher","month":"12","related_material":{"record":[{"status":"public","relation":"used_in_publication","id":"19076"}]},"abstract":[{"text":"Electrophysiological, calcium two-photon recordings and behavioral data for Vega-Zuniga et al. Relevant information can be found in the 'README.txt' files. ","lang":"eng"}],"day":"09","has_accepted_license":"1","ddc":["570"],"acknowledgement":"Freyja Lange, Michael Schunn, and Todor Asenov","corr_author":"1","publisher":"Institute of Science and Technology Austria"},{"title":"Nucleosome-bound NR5A2 structure reveals pioneer factor mechanism by DNA minor groove anchor competition","doi":"10.1038/s41594-024-01239-0","publication_status":"published","date_published":"2024-05-01T00:00:00Z","author":[{"full_name":"Kobayashi, Wataru","first_name":"Wataru","last_name":"Kobayashi"},{"first_name":"Anna H.","last_name":"Sappler","full_name":"Sappler, Anna H."},{"last_name":"Bollschweiler","first_name":"Daniel","full_name":"Bollschweiler, Daniel"},{"last_name":"Kümmecke","first_name":"Maximilian","full_name":"Kümmecke, Maximilian"},{"last_name":"Basquin","first_name":"Jérôme","full_name":"Basquin, Jérôme"},{"first_name":"Eda Nur","id":"36978b4e-2966-11ef-a72f-b3740ef1cd11","last_name":"Arslantas","full_name":"Arslantas, Eda Nur"},{"last_name":"Ruangroengkulrith","first_name":"Siwat","full_name":"Ruangroengkulrith, Siwat"},{"full_name":"Hornberger, Renate","first_name":"Renate","last_name":"Hornberger"},{"first_name":"Karl","last_name":"Duderstadt","full_name":"Duderstadt, Karl"},{"first_name":"Kikuë","last_name":"Tachibana","full_name":"Tachibana, Kikuë"}],"page":"757-766","OA_type":"hybrid","quality_controlled":"1","date_updated":"2024-12-11T10:56:35Z","_id":"18645","intvolume":" 31","date_created":"2024-12-11T09:10:54Z","status":"public","main_file_link":[{"url":"https://doi.org/10.1038/s41594-024-01239-0","open_access":"1"}],"citation":{"chicago":"Kobayashi, Wataru, Anna H. Sappler, Daniel Bollschweiler, Maximilian Kümmecke, Jérôme Basquin, Eda Nur Arslantas, Siwat Ruangroengkulrith, Renate Hornberger, Karl Duderstadt, and Kikuë Tachibana. “Nucleosome-Bound NR5A2 Structure Reveals Pioneer Factor Mechanism by DNA Minor Groove Anchor Competition.” Nature Structural & Molecular Biology. Springer Nature, 2024. https://doi.org/10.1038/s41594-024-01239-0.","apa":"Kobayashi, W., Sappler, A. H., Bollschweiler, D., Kümmecke, M., Basquin, J., Arslantas, E. N., … Tachibana, K. (2024). Nucleosome-bound NR5A2 structure reveals pioneer factor mechanism by DNA minor groove anchor competition. Nature Structural & Molecular Biology. Springer Nature. https://doi.org/10.1038/s41594-024-01239-0","short":"W. Kobayashi, A.H. Sappler, D. Bollschweiler, M. Kümmecke, J. Basquin, E.N. Arslantas, S. Ruangroengkulrith, R. Hornberger, K. Duderstadt, K. Tachibana, Nature Structural & Molecular Biology 31 (2024) 757–766.","ama":"Kobayashi W, Sappler AH, Bollschweiler D, et al. Nucleosome-bound NR5A2 structure reveals pioneer factor mechanism by DNA minor groove anchor competition. Nature Structural & Molecular Biology. 2024;31:757-766. doi:10.1038/s41594-024-01239-0","ista":"Kobayashi W, Sappler AH, Bollschweiler D, Kümmecke M, Basquin J, Arslantas EN, Ruangroengkulrith S, Hornberger R, Duderstadt K, Tachibana K. 2024. Nucleosome-bound NR5A2 structure reveals pioneer factor mechanism by DNA minor groove anchor competition. Nature Structural & Molecular Biology. 31, 757–766.","mla":"Kobayashi, Wataru, et al. “Nucleosome-Bound NR5A2 Structure Reveals Pioneer Factor Mechanism by DNA Minor Groove Anchor Competition.” Nature Structural & Molecular Biology, vol. 31, Springer Nature, 2024, pp. 757–66, doi:10.1038/s41594-024-01239-0.","ieee":"W. Kobayashi et al., “Nucleosome-bound NR5A2 structure reveals pioneer factor mechanism by DNA minor groove anchor competition,” Nature Structural & Molecular Biology, vol. 31. Springer Nature, pp. 757–766, 2024."},"extern":"1","language":[{"iso":"eng"}],"oa_version":"Published Version","type":"journal_article","article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","fulldoi":"https://doi.org/10.1038/s41594-024-01239-0","year":"2024","day":"01","volume":31,"publication_identifier":{"eissn":["1545-9985"],"issn":["1545-9993"]},"scopus_import":"1","abstract":[{"lang":"eng","text":"Gene expression during natural and induced reprogramming is controlled by pioneer transcription factors that initiate transcription from closed chromatin. Nr5a2 is a key pioneer factor that regulates zygotic genome activation in totipotent embryos, pluripotency in embryonic stem cells and metabolism in adult tissues, but the mechanism of its pioneer activity remains poorly understood. Here, we present a cryo-electron microscopy structure of human NR5A2 bound to a nucleosome. The structure shows that the conserved carboxy-terminal extension (CTE) loop of the NR5A2 DNA-binding domain competes with a DNA minor groove anchor of the nucleosome and releases entry-exit site DNA. Mutational analysis showed that NR5A2 D159 of the CTE is dispensable for DNA binding but required for stable nucleosome association and persistent DNA ‘unwrapping’. These findings suggest that NR5A2 belongs to an emerging class of pioneer factors that can use DNA minor groove anchor competition to destabilize nucleosomes and facilitate gene expression during reprogramming."}],"publisher":"Springer Nature","acknowledgement":"We are very grateful to K. Abe, L. G. Hernandez, C. Kobayashi, K. Straßer and M. Zaczek for their contributions and technical support. We thank N. Thomä for advice on SeEN-seq. We are grateful to A. Musacchio for insightful discussions. We thank J.-M. Peters for critical reading of the manuscript and all members of K.T.’s laboratory for discussions. We thank T. Schäfer at the cryo-EM facility for assistance in cryo-EM data collection, and R. H. Kim for sequencing at the NGS facility, MPIB. K.T. is an Honorary Professor at the Department of Biology, Ludwig-Maximilians-University, Munich. Funding: European Research Council grant ERC-CoG-818556 TotipotentZygotChrom (K.T.). European Research Council grant ERC-StG-804098 ReplisomeBypass (K.D.). Max Planck Society (K.T., K.D.).","OA_place":"publisher","publication":"Nature Structural & Molecular Biology","oa":1,"article_processing_charge":"Yes (in subscription journal)","month":"05"},{"oa":1,"article_processing_charge":"No","publication":"30th International Conference on the Theory and Application of Cryptology and Information Security","OA_place":"repository","external_id":{"isi":["001443890800014"]},"month":"12","publication_identifier":{"isbn":["9789819608935"],"issn":["0302-9743"],"eissn":["1611-3349"]},"abstract":[{"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.","lang":"eng"}],"scopus_import":"1","day":"13","volume":15487,"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.","publisher":"Springer Nature","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","fulldoi":"https://doi.org/10.1007/978-981-96-0894-2_14","conference":{"start_date":"2024-12-09","end_date":"2024-12-13","name":"ASIACRYPT: Conference on the Theory and Application of Cryptology and Information Security","location":"Kolkata, India"},"year":"2024","type":"conference","main_file_link":[{"url":"https://eprint.iacr.org/2024/2000","open_access":"1"}],"department":[{"_id":"KrPi"}],"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","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.","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.","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.","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."},"status":"public","oa_version":"Preprint","language":[{"iso":"eng"}],"intvolume":" 15487","date_created":"2025-01-05T23:01:56Z","quality_controlled":"1","_id":"18756","date_updated":"2025-09-09T12:00:51Z","alternative_title":["LNCS"],"OA_type":"green","isi":1,"title":"Evasive LWE assumptions: Definitions, classes, and counterexamples","doi":"10.1007/978-981-96-0894-2_14","publication_status":"published","author":[{"first_name":"Chris","last_name":"Brzuska","full_name":"Brzuska, Chris"},{"full_name":"Ünal, Akin","last_name":"Ünal","orcid":"0000-0002-8929-0221","id":"f6b56fb6-dc63-11ee-9dbf-f6780863a85a","first_name":"Akin"},{"full_name":"Woo, Ivy K.Y.","last_name":"Woo","first_name":"Ivy K.Y."}],"date_published":"2024-12-13T00:00:00Z","page":"418-449"},{"OA_type":"closed access","author":[{"full_name":"Heyl, Jeremy","last_name":"Heyl","first_name":"Jeremy"},{"full_name":"Doroshenko, Victor","first_name":"Victor","last_name":"Doroshenko"},{"last_name":"González-Caniulef","first_name":"Denis","full_name":"González-Caniulef, Denis"},{"id":"8ae5b6e7-2a03-11ee-914d-b58ed7a3b47d","orcid":"0000-0002-4770-5388","last_name":"Caiazzo","first_name":"Ilaria","full_name":"Caiazzo, Ilaria"},{"first_name":"Juri","last_name":"Poutanen","full_name":"Poutanen, Juri"},{"full_name":"Mushtukov, Alexander","first_name":"Alexander","last_name":"Mushtukov"},{"first_name":"Sergey S.","last_name":"Tsygankov","full_name":"Tsygankov, Sergey S."},{"last_name":"Kirmizibayrak","first_name":"Demet","full_name":"Kirmizibayrak, Demet"},{"full_name":"Bachetti, Matteo","first_name":"Matteo","last_name":"Bachetti"},{"last_name":"Pavlov","first_name":"George G.","full_name":"Pavlov, George G."},{"full_name":"Forsblom, Sofia V.","first_name":"Sofia V.","last_name":"Forsblom"},{"first_name":"Christian","last_name":"Malacaria","full_name":"Malacaria, Christian"},{"last_name":"Suleimanov","first_name":"Valery F.","full_name":"Suleimanov, Valery F."},{"full_name":"Agudo, Iván","last_name":"Agudo","first_name":"Iván"},{"full_name":"Antonelli, Lucio Angelo","first_name":"Lucio Angelo","last_name":"Antonelli"},{"full_name":"Baldini, Luca","first_name":"Luca","last_name":"Baldini"},{"first_name":"Wayne H.","last_name":"Baumgartner","full_name":"Baumgartner, Wayne H."},{"first_name":"Ronaldo","last_name":"Bellazzini","full_name":"Bellazzini, Ronaldo"},{"last_name":"Bianchi","first_name":"Stefano","full_name":"Bianchi, Stefano"},{"last_name":"Bongiorno","first_name":"Stephen D.","full_name":"Bongiorno, Stephen D."},{"full_name":"Bonino, Raffaella","last_name":"Bonino","first_name":"Raffaella"},{"first_name":"Alessandro","last_name":"Brez","full_name":"Brez, Alessandro"},{"full_name":"Bucciantini, 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E."},{"full_name":"Tombesi, Francesco","first_name":"Francesco","last_name":"Tombesi"},{"last_name":"Trois","first_name":"Alessio","full_name":"Trois, Alessio"},{"full_name":"Turolla, Roberto","first_name":"Roberto","last_name":"Turolla"},{"first_name":"Jacco","last_name":"Vink","full_name":"Vink, Jacco"},{"first_name":"Martin C.","last_name":"Weisskopf","full_name":"Weisskopf, Martin C."},{"last_name":"Wu","first_name":"Kinwah","full_name":"Wu, Kinwah"},{"first_name":"Fei","last_name":"Xie","full_name":"Xie, Fei"},{"last_name":"Zane","first_name":"Silvia","full_name":"Zane, Silvia"}],"publication_status":"published","date_published":"2024-08-01T00:00:00Z","page":"1047-1053","title":"Complex rotational dynamics of the neutron star in Hercules X-1 revealed by X-ray polarization","doi":"10.1038/s41550-024-02295-8","oa_version":"None","extern":"1","language":[{"iso":"eng"}],"citation":{"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.","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.","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","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.","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","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."},"status":"public","intvolume":" 8","date_created":"2025-01-21T15:35:17Z","quality_controlled":"1","date_updated":"2025-01-27T10:52:16Z","_id":"18867","fulldoi":"https://doi.org/10.1038/s41550-024-02295-8","year":"2024","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_type":"original","type":"journal_article","month":"08","article_processing_charge":"No","publication":"Nature Astronomy","publisher":"Springer Nature","publication_identifier":{"issn":["2397-3366"]},"scopus_import":"1","abstract":[{"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.","lang":"eng"}],"day":"01","volume":8},{"article_type":"original","type":"journal_article","fulldoi":"https://doi.org/10.33232/001c.117476","year":"2024","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Maynooth Academic Publishing","publication_identifier":{"issn":["2565-6120"]},"abstract":[{"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.","lang":"eng"}],"scopus_import":"1","day":"01","volume":7,"month":"05","DOAJ_listed":"1","oa":1,"article_processing_charge":"No","arxiv":1,"external_id":{"arxiv":["2311.07805"]},"OA_place":"publisher","publication":"The Open Journal of Astrophysics","publication_status":"published","author":[{"full_name":"Heyl, Jeremy","first_name":"Jeremy","last_name":"Heyl"},{"first_name":"Denis","last_name":"González-Caniulef","full_name":"González-Caniulef, Denis"},{"full_name":"Caiazzo, Ilaria","id":"8ae5b6e7-2a03-11ee-914d-b58ed7a3b47d","orcid":"0000-0002-4770-5388","last_name":"Caiazzo","first_name":"Ilaria"}],"date_published":"2024-05-01T00:00:00Z","title":"Optimal summary statistics for X-ray polarization","doi":"10.33232/001c.117476","OA_type":"gold","intvolume":" 7","date_created":"2025-01-21T15:54:16Z","quality_controlled":"1","date_updated":"2025-01-27T10:48:19Z","_id":"18868","oa_version":"Published Version","extern":"1","language":[{"iso":"eng"}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.33232/001c.117476"}],"citation":{"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.","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","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).","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."},"status":"public"},{"type":"conference","year":"2024","conference":{"name":"EMNLP: Conference on Empirical Methods in Natural Language Processing","location":"Miami, FL, United States","end_date":"2024-11-16","start_date":"2024-11-12"},"fulldoi":"https://doi.org/10.18653/v1/2024.findings-emnlp.705","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","has_accepted_license":"1","ddc":["500"],"corr_author":"1","publisher":"Association for Computational Linguistics","abstract":[{"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.","lang":"eng"}],"scopus_import":"1","day":"01","month":"11","article_processing_charge":"No","arxiv":1,"oa":1,"external_id":{"arxiv":["2404.00500"]},"OA_place":"publisher","publication":"Findings of the Association for Computational Linguistics: EMNLP 2024","page":"12080-12099","author":[{"first_name":"Ondrej","id":"2B23F01E-F248-11E8-B48F-1D18A9856A87","last_name":"Draganov","orcid":"0000-0003-0464-3823","full_name":"Draganov, Ondrej"},{"last_name":"Skiena","first_name":"Steven","full_name":"Skiena, Steven"}],"publication_status":"published","file":[{"relation":"main_file","date_updated":"2025-02-10T08:20:34Z","checksum":"f4416a5962194f0181ab0dc7f9ef93c0","creator":"dernst","success":1,"date_created":"2025-02-10T08:20:34Z","file_size":1312638,"content_type":"application/pdf","access_level":"open_access","file_id":"19016","file_name":"2024_EMNLP_Draganov.pdf"}],"date_published":"2024-11-01T00:00:00Z","doi":"10.18653/v1/2024.findings-emnlp.705","file_date_updated":"2025-02-10T08:20:34Z","title":"The shape of word embeddings: Quantifying non-isometry with topological data analysis","OA_type":"gold","date_created":"2025-02-04T16:19:28Z","_id":"18998","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"date_updated":"2025-02-10T08:21:37Z","quality_controlled":"1","oa_version":"Published Version","language":[{"iso":"eng"}],"citation":{"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.","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.","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.","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","short":"O. Draganov, S. Skiena, in:, Findings of the Association for Computational Linguistics: EMNLP 2024, Association for Computational Linguistics, 2024, pp. 12080–12099.","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.","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"},"department":[{"_id":"GradSch"},{"_id":"HeEd"}],"status":"public"},{"fulldoi":"https://doi.org/10.48550/ARXIV.2406.04102","year":"2024","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"preprint","month":"06","oa":1,"arxiv":1,"article_processing_charge":"No","OA_place":"repository","external_id":{"arxiv":["2406.04102"]},"publication":"arXiv","has_accepted_license":"1","ddc":["510"],"corr_author":"1","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."}],"day":"06","OA_type":"green","publication_status":"submitted","author":[{"orcid":"0000-0001-6249-0832","last_name":"Cultrera di Montesano","id":"34D2A09C-F248-11E8-B48F-1D18A9856A87","first_name":"Sebastiano","full_name":"Cultrera di Montesano, Sebastiano"},{"first_name":"Ondrej","last_name":"Draganov","orcid":"0000-0003-0464-3823","id":"2B23F01E-F248-11E8-B48F-1D18A9856A87","full_name":"Draganov, Ondrej"},{"full_name":"Edelsbrunner, Herbert","first_name":"Herbert","orcid":"0000-0002-9823-6833","last_name":"Edelsbrunner","id":"3FB178DA-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Saghafian, Morteza","first_name":"Morteza","id":"f86f7148-b140-11ec-9577-95435b8df824","last_name":"Saghafian"}],"date_published":"2024-06-06T00:00:00Z","title":"Chromatic topological data analysis","doi":"10.48550/ARXIV.2406.04102","oa_version":"Preprint","language":[{"iso":"eng"}],"department":[{"_id":"GradSch"},{"_id":"HeEd"}],"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2406.04102","open_access":"1"}],"citation":{"ieee":"S. Cultrera di Montesano, O. Draganov, H. Edelsbrunner, and M. Saghafian, “Chromatic topological data analysis,” arXiv. .","ama":"Cultrera di Montesano S, Draganov O, Edelsbrunner H, Saghafian M. Chromatic topological data analysis. arXiv. doi:10.48550/ARXIV.2406.04102","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.).","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.","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"},"status":"public","date_created":"2025-02-04T16:21:21Z","article_number":"2406.04102","_id":"18999","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"date_updated":"2025-02-10T08:14:27Z"},{"status":"public","citation":{"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.","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","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.","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.","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"},"language":[{"iso":"eng"}],"oa_version":"Published Version","quality_controlled":"1","article_number":"68","date_updated":"2025-12-02T13:58:56Z","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"_id":"19028","date_created":"2025-02-16T23:02:34Z","OA_type":"hybrid","file_date_updated":"2025-04-15T12:53:24Z","isi":1,"title":"A statistical approach to Monte Carlo denoising","doi":"10.1145/3680528.3687591","author":[{"last_name":"Sakai","first_name":"Hiroyuki","full_name":"Sakai, Hiroyuki"},{"full_name":"Freude, Christian","last_name":"Freude","first_name":"Christian"},{"full_name":"Auzinger, Thomas","last_name":"Auzinger","orcid":"0000-0002-1546-3265","id":"4718F954-F248-11E8-B48F-1D18A9856A87","first_name":"Thomas"},{"id":"357A6A66-F248-11E8-B48F-1D18A9856A87","last_name":"Hahn","first_name":"David","full_name":"Hahn, David"},{"last_name":"Wimmer","first_name":"Michael","full_name":"Wimmer, Michael"}],"publication_status":"published","date_published":"2024-12-03T00:00:00Z","file":[{"file_size":14791980,"content_type":"application/pdf","date_created":"2025-04-15T12:53:24Z","success":1,"creator":"dernst","date_updated":"2025-04-15T12:53:24Z","checksum":"89f63b9237224362ec33430af9152700","relation":"main_file","file_name":"2024_SIGGRAPH_Sakai.pdf","file_id":"19563","access_level":"open_access"}],"publication":"Proceedings - SIGGRAPH Asia 2024 Conference Papers","external_id":{"isi":["001441591200068"]},"OA_place":"publisher","oa":1,"article_processing_charge":"Yes (in subscription journal)","month":"12","day":"03","publication_identifier":{"isbn":["9798400711312"]},"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."}],"scopus_import":"1","publisher":"Association for Computing Machinery","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”).","has_accepted_license":"1","ddc":["000"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","fulldoi":"https://doi.org/10.1145/3680528.3687591","conference":{"start_date":"2024-12-03","location":"Tokyo, Japan","name":"SA: SIGGRAPH Asia","end_date":"2024-12-06"},"year":"2024","type":"conference"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2024","type":"journal_article","article_type":"original","publication":"Transactions on Machine Learning Research","OA_place":"publisher","external_id":{"arxiv":["2311.11908"]},"article_processing_charge":"No","arxiv":1,"oa":1,"month":"04","volume":2024,"day":"12","scopus_import":"1","abstract":[{"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.","lang":"eng"}],"publication_identifier":{"eissn":["2835-8856"]},"publisher":"Transactions on Machine Learning Research","ddc":["000"],"has_accepted_license":"1","OA_type":"diamond","file_date_updated":"2025-03-20T09:02:18Z","title":"Continual learning: Applications and the road forward","author":[{"full_name":"Verwimp, Eli","first_name":"Eli","last_name":"Verwimp"},{"full_name":"Aljundi, Rahaf","first_name":"Rahaf","last_name":"Aljundi"},{"last_name":"Ben-David","first_name":"Shai","full_name":"Ben-David, Shai"},{"first_name":"Matthias","last_name":"Bethge","full_name":"Bethge, Matthias"},{"last_name":"Cossu","first_name":"Andrea","full_name":"Cossu, Andrea"},{"last_name":"Gepperth","first_name":"Alexander","full_name":"Gepperth, Alexander"},{"full_name":"Hayes, Tyler L.","first_name":"Tyler L.","last_name":"Hayes"},{"first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"},{"full_name":"Kanan, Christopher","last_name":"Kanan","first_name":"Christopher"},{"first_name":"Dhireesha","last_name":"Kudithipudi","full_name":"Kudithipudi, Dhireesha"},{"full_name":"Lampert, Christoph","first_name":"Christoph","orcid":"0000-0001-8622-7887","last_name":"Lampert","id":"40C20FD2-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Martin","last_name":"Mundt","full_name":"Mundt, Martin"},{"full_name":"Pascanu, Razvan","last_name":"Pascanu","first_name":"Razvan"},{"full_name":"Popescu, Adrian","first_name":"Adrian","last_name":"Popescu"},{"full_name":"Tolias, Andreas S.","last_name":"Tolias","first_name":"Andreas S."},{"full_name":"Van De Weijer, Joost","first_name":"Joost","last_name":"Van De Weijer"},{"first_name":"Bing","last_name":"Liu","full_name":"Liu, Bing"},{"first_name":"Vincenzo","last_name":"Lomonaco","full_name":"Lomonaco, Vincenzo"},{"full_name":"Tuytelaars, Tinne","last_name":"Tuytelaars","first_name":"Tinne"},{"full_name":"Van De Ven, Gido M.","first_name":"Gido M.","last_name":"Van De Ven"}],"file":[{"file_name":"2024_TMLR_Verwimp.pdf","access_level":"open_access","file_id":"19426","file_size":1367966,"content_type":"application/pdf","relation":"main_file","checksum":"0714e12f7423cd098976ed9974561155","date_updated":"2025-03-20T09:02:18Z","creator":"dernst","success":1,"date_created":"2025-03-20T09:02:18Z"}],"publication_status":"published","date_published":"2024-04-12T00:00:00Z","status":"public","citation":{"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.","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.","ama":"Verwimp E, Aljundi R, Ben-David S, et al. Continual learning: Applications and the road forward. Transactions on Machine Learning Research. 2024;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.","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.","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)."},"department":[{"_id":"ChLa"}],"language":[{"iso":"eng"}],"oa_version":"Published Version","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","short":"CC BY (4.0)"},"date_updated":"2025-03-20T09:21:02Z","_id":"19408","quality_controlled":"1","date_created":"2025-03-16T23:01:25Z","intvolume":" 2024","alternative_title":["TMLR"]},{"day":"01","volume":2,"publication_identifier":{"eissn":["2731-6076"]},"scopus_import":"1","abstract":[{"text":"This Comment explores new approaches to enrich large-scale population data, including incorporating macro-environmental and digital health measures.","lang":"eng"}],"publisher":"Springer Nature","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.","publication":"Nature Mental Health","article_processing_charge":"No","month":"10","type":"journal_article","article_type":"letter_note","issue":"10","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","fulldoi":"https://doi.org/10.1038/s44220-024-00316-z","year":"2024","quality_controlled":"1","date_updated":"2025-03-25T08:28:39Z","_id":"19446","intvolume":" 2","date_created":"2025-03-23T23:01:28Z","status":"public","department":[{"_id":"GaNo"}],"citation":{"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.","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","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.","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.","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.","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","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."},"language":[{"iso":"eng"}],"oa_version":"None","title":"Large-scale population data enrichment in mental health research","doi":"10.1038/s44220-024-00316-z","publication_status":"published","date_published":"2024-10-01T00:00:00Z","author":[{"first_name":"Frauke","last_name":"Nees","full_name":"Nees, Frauke"},{"first_name":"Paul","last_name":"Renner","full_name":"Renner, Paul"},{"last_name":"Holz","first_name":"Nathalie E.","full_name":"Holz, Nathalie E."},{"full_name":"Polemiti, Elli","first_name":"Elli","last_name":"Polemiti"},{"full_name":"Siehl, Sebastian","last_name":"Siehl","first_name":"Sebastian"},{"full_name":"Hese, Sören","first_name":"Sören","last_name":"Hese"},{"full_name":"Schepanski, Kerstin","first_name":"Kerstin","last_name":"Schepanski"},{"last_name":"Schumann","first_name":"Gunter","full_name":"Schumann, Gunter"},{"full_name":"Walter, Henrik","first_name":"Henrik","last_name":"Walter"},{"full_name":"Heinz, 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M.","last_name":"Mathey"},{"first_name":"Stefanie","last_name":"Heilmann-Heimbach","full_name":"Heilmann-Heimbach, Stefanie"},{"last_name":"Sommer","first_name":"Peter","full_name":"Sommer, Peter"},{"full_name":"Patraskaki, Myrto","first_name":"Myrto","last_name":"Patraskaki"},{"full_name":"Wilbertz, Johannes","last_name":"Wilbertz","first_name":"Johannes"},{"full_name":"Schmitt, Karen","last_name":"Schmitt","first_name":"Karen"},{"full_name":"Jirsa, Viktor","last_name":"Jirsa","first_name":"Viktor"},{"full_name":"Petkoski, Spase","last_name":"Petkoski","first_name":"Spase"},{"full_name":"Pitel, Séverine","last_name":"Pitel","first_name":"Séverine"},{"first_name":"Lisa","last_name":"Otten","full_name":"Otten, Lisa"},{"last_name":"Athanasiadis","first_name":"Anastasios Polykarpos","full_name":"Athanasiadis, Anastasios Polykarpos"},{"full_name":"Pearmund, Charlie","first_name":"Charlie","last_name":"Pearmund"},{"last_name":"Spanlang","first_name":"Bernhard","full_name":"Spanlang, Bernhard"},{"last_name":"Alvarez","first_name":"Elena","full_name":"Alvarez, Elena"},{"full_name":"Sanchez, Mavi","last_name":"Sanchez","first_name":"Mavi"},{"last_name":"Giner","first_name":"Arantxa","full_name":"Giner, Arantxa"},{"full_name":"Jia, Tianye","last_name":"Jia","first_name":"Tianye"},{"first_name":"Yanting","last_name":"Gong","full_name":"Gong, Yanting"},{"full_name":"Xia, Yunman","first_name":"Yunman","last_name":"Xia"},{"last_name":"Chang","first_name":"Xiao","full_name":"Chang, Xiao"},{"full_name":"Calhoun, Vince","last_name":"Calhoun","first_name":"Vince"},{"last_name":"Liu","first_name":"Jingyu","full_name":"Liu, Jingyu"},{"full_name":"Schwalber, Ameli","first_name":"Ameli","last_name":"Schwalber"},{"full_name":"Thompson, Paul","first_name":"Paul","last_name":"Thompson"},{"first_name":"Nicholas","last_name":"Clinton","full_name":"Clinton, Nicholas"},{"full_name":"Desrivières, Sylvane","last_name":"Desrivières","first_name":"Sylvane"},{"last_name":"Young","first_name":"Allan H.","full_name":"Young, Allan H."},{"full_name":"Stahl, Bernd","last_name":"Stahl","first_name":"Bernd"},{"full_name":"Ogoh, George","last_name":"Ogoh","first_name":"George"}],"page":"1124-1127","OA_type":"closed access"},{"oa_version":"None","extern":"1","language":[{"iso":"eng"}],"citation":{"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.","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.","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.","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","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.","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."},"status":"public","intvolume":" 37","date_created":"2025-04-03T12:27:39Z","quality_controlled":"1","date_updated":"2025-07-10T11:51:40Z","_id":"19470","OA_type":"closed access","pmid":1,"date_published":"2024-03-04T00:00:00Z","publication_status":"published","author":[{"full_name":"Douglass, Amelia May Barnett","first_name":"Amelia May Barnett","orcid":"0000-0001-5398-6473","last_name":"Douglass","id":"de5f6fda-80fb-11ef-996f-a8c4ecd8e289"},{"full_name":"Kucukdereli, Hakan","last_name":"Kucukdereli","first_name":"Hakan"},{"full_name":"Madara, Joseph C.","first_name":"Joseph C.","last_name":"Madara"},{"first_name":"Daqing","last_name":"Wang","full_name":"Wang, Daqing"},{"full_name":"Wu, Chen","first_name":"Chen","last_name":"Wu"},{"last_name":"Lowenstein","first_name":"Elijah D.","full_name":"Lowenstein, Elijah D."},{"full_name":"Tao, Jenkang","first_name":"Jenkang","last_name":"Tao"},{"first_name":"Bradford B.","last_name":"Lowell","full_name":"Lowell, Bradford B."}],"page":"708-722.e5","title":"Acute and circadian feedforward regulation of agouti-related peptide hunger neurons","doi":"10.1016/j.cmet.2024.11.009","month":"03","article_processing_charge":"No","external_id":{"pmid":["39719709"]},"publication":"Cell Metabolism","publisher":"Elsevier","publication_identifier":{"issn":["1550-4131"]},"scopus_import":"1","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."}],"day":"04","volume":37,"fulldoi":"https://doi.org/10.1016/j.cmet.2024.11.009","year":"2024","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","issue":"3","article_type":"original","type":"journal_article"},{"type":"journal_article","article_type":"original","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","issue":"9","fulldoi":"https://doi.org/10.1093/imrn/rnad266","year":"2024","day":"01","volume":2024,"publication_identifier":{"issn":["1073-7928"],"eissn":["1687-0247"]},"scopus_import":"1","abstract":[{"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.","lang":"eng"}],"publisher":"Oxford University Press","acknowledgement":"The author would like to thank Peter Koymans and Carlo Pagano for helpful discussions.","publication":"International Mathematics Research Notices","OA_place":"repository","external_id":{"arxiv":["2211.06062"]},"oa":1,"arxiv":1,"article_processing_charge":"No","month":"05","title":"The 3-isogeny selmer groups of the elliptic curves y2=x3+n2","doi":"10.1093/imrn/rnad266","author":[{"full_name":"Chan, Yik Tung","id":"c4c0afc8-9262-11ed-9231-d8b0bc743af1","orcid":"0000-0001-8467-4106","last_name":"Chan","first_name":"Yik Tung"}],"publication_status":"published","date_published":"2024-05-01T00:00:00Z","page":"7571-7593","OA_type":"green","quality_controlled":"1","_id":"19486","date_updated":"2025-07-10T11:51:44Z","intvolume":" 2024","date_created":"2025-04-05T10:50:33Z","status":"public","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2211.06062"}],"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","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.","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.","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.","short":"S. Chan, International Mathematics Research Notices 2024 (2024) 7571–7593."},"extern":"1","language":[{"iso":"eng"}],"oa_version":"Preprint"},{"month":"12","oa":1,"article_processing_charge":"No","arxiv":1,"external_id":{"arxiv":["2405.17897"]},"OA_place":"repository","publication":"38th Conference on Neural Information Processing Systems","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.","publisher":"Neural Information Processing Systems Foundation","corr_author":"1","publication_identifier":{"issn":["1049-5258"]},"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."}],"scopus_import":"1","day":"20","volume":37,"conference":{"name":"NeurIPS: Neural Information Processing Systems","location":"Vancouver, Canada","end_date":"2024-12-15","start_date":"2024-12-09"},"project":[{"grant_number":"101034413","name":"IST-BRIDGE: International postdoctoral program","call_identifier":"H2020","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c"}],"year":"2024","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"conference","ec_funded":1,"oa_version":"Preprint","language":[{"iso":"eng"}],"department":[{"_id":"FrLo"}],"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2405.17897","open_access":"1"}],"citation":{"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.","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.","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.","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.","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."},"status":"public","alternative_title":["Advances in Neural Information Processing Systems"],"intvolume":" 37","date_created":"2025-04-06T22:01:32Z","quality_controlled":"1","_id":"19517","date_updated":"2025-05-14T11:36:59Z","OA_type":"green","publication_status":"published","author":[{"full_name":"Crisostomi, Donato","first_name":"Donato","last_name":"Crisostomi"},{"full_name":"Fumero, Marco","last_name":"Fumero","id":"1c1593eb-393f-11ef-bb8e-ab4f1e979650","first_name":"Marco"},{"full_name":"Baieri, Daniele","first_name":"Daniele","last_name":"Baieri"},{"last_name":"Bernard","first_name":"Florian","full_name":"Bernard, Florian"},{"first_name":"Emanuele","last_name":"Rodolà","full_name":"Rodolà, Emanuele"}],"date_published":"2024-12-20T00:00:00Z","title":"C2M3: Cycle-consistent multi-model merging"},{"volume":37,"day":"20","abstract":[{"text":"The rising footprint of machine learning has led to a focus on imposing model\r\nsparsity as a means of reducing computational and memory costs. For deep neural\r\nnetworks (DNNs), the state-of-the-art accuracy-vs-sparsity is achieved by heuristics\r\ninspired by the classical Optimal Brain Surgeon (OBS) framework [LeCun et al.,\r\n1989, Hassibi and Stork, 1992, Hassibi et al., 1993], which leverages loss curvature\r\ninformation to make better pruning decisions. Yet, these results still lack a solid\r\ntheoretical understanding, and it is unclear whether they can be improved by\r\nleveraging connections to the wealth of work on sparse recovery algorithms. In this\r\npaper, we draw new connections between these two areas and present new sparse\r\nrecovery algorithms inspired by the OBS framework that comes with theoretical\r\nguarantees under reasonable assumptions and have strong practical performance.\r\nSpecifically, our work starts from the observation that we can leverage curvature\r\ninformation in OBS-like fashion upon the projection step of classic iterative sparse\r\nrecovery algorithms such as IHT. We show for the first time that this leads both\r\nto improved convergence bounds under standard assumptions. Furthermore, we\r\npresent extensions of this approach to the practical task of obtaining accurate sparse\r\nDNNs, and validate it experimentally at scale for Transformer-based models on\r\nvision and language tasks.","lang":"eng"}],"scopus_import":"1","publication_identifier":{"issn":["1049-5258"]},"publisher":"Neural Information Processing Systems Foundation","corr_author":"1","acknowledgement":"The authors thank the anonymous NeurIPS reviewers for their useful comments and feedback, the IT department from the Institute of Science and Technology Austria for the hardware support, and Weights and Biases for the infrastructure to track all our experiments. Mher Safaryan has received funding from the European Union’s Horizon 2020 research and innovation program under the Maria Skłodowska-Curie grant agreement No 101034413.","external_id":{"arxiv":["2408.17163"]},"OA_place":"repository","publication":"38th Conference on Neural Information Processing Systems","article_processing_charge":"No","arxiv":1,"oa":1,"month":"12","type":"conference","acknowledged_ssus":[{"_id":"CampIT"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2024","conference":{"name":"NeurIPS: Neural Information Processing Systems","location":"Vancouver, Canada","end_date":"2024-12-15","start_date":"2024-12-09"},"project":[{"grant_number":"101034413","name":"IST-BRIDGE: International postdoctoral program","call_identifier":"H2020","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c"}],"date_updated":"2025-05-14T11:37:10Z","_id":"19518","quality_controlled":"1","date_created":"2025-04-06T22:01:32Z","intvolume":" 37","alternative_title":["Advances in Neural Information Processing Systems"],"status":"public","citation":{"short":"D. Wu, I.-V. Modoranu, M. Safaryan, D. Kuznedelev, D.-A. Alistarh, in:, 38th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2024.","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.","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.","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."},"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2408.17163","open_access":"1"}],"department":[{"_id":"DaAl"},{"_id":"MaMo"}],"language":[{"iso":"eng"}],"oa_version":"Preprint","ec_funded":1,"title":"The iterative optimal brain surgeon: Faster sparse recovery by leveraging second-order information","author":[{"full_name":"Wu, Diyuan","first_name":"Diyuan","id":"1a5914c2-896a-11ed-bdf8-fb80621a0635","last_name":"Wu"},{"first_name":"Ionut-Vlad","last_name":"Modoranu","id":"449f7a18-f128-11eb-9611-9b430c0c6333","full_name":"Modoranu, Ionut-Vlad"},{"id":"dd546b39-0804-11ed-9c55-ef075c39778d","last_name":"Safaryan","first_name":"Mher","full_name":"Safaryan, Mher"},{"full_name":"Kuznedelev, Denis","first_name":"Denis","last_name":"Kuznedelev"},{"last_name":"Alistarh","orcid":"0000-0003-3650-940X","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","first_name":"Dan-Adrian","full_name":"Alistarh, Dan-Adrian"}],"date_published":"2024-12-20T00:00:00Z","publication_status":"published","OA_type":"green"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2024","conference":{"location":"Vancouver, Canada","name":"NeurIPS: Neural Information Processing Systems","end_date":"2024-12-15","start_date":"2024-12-10"},"type":"conference","article_processing_charge":"No","arxiv":1,"oa":1,"publication":"38th Conference on Neural Information Processing Systems","OA_place":"publisher","external_id":{"arxiv":["2405.14852"]},"month":"12","scopus_import":"1","abstract":[{"text":"There has been significant interest in \"extreme\" compression of large language models (LLMs), i.e. to 1-2 bits per parameter, which allows such models to be executed efficiently on resource-constrained devices. Existing work focused on improved one-shot quantization techniques and weight representations; yet, purely post-training approaches are reaching diminishing returns in terms of the accuracy-vs-bit-width trade-off. State-of-the-art quantization methods such as QuIP# and AQLM include fine-tuning (part of) the compressed parameters over a limited amount of calibration data; however, such fine-tuning techniques over compressed weights often make exclusive use of straight-through estimators (STE), whose performance is not well-understood in this setting. In this work, we question the use of STE for extreme LLM compression, showing that it can be sub-optimal, and perform a systematic study of quantization-aware fine-tuning strategies for LLMs.We propose PV-Tuning - a representation-agnostic framework that generalizes and improves upon existing fine-tuning strategies, and provides convergence guarantees in restricted cases.On the practical side, when used for 1-2 bit vector quantization, PV-Tuning outperforms prior techniques for highly-performant models such as Llama and Mistral. Using PV-Tuning, we achieve the first Pareto-optimal quantization for Llama-2 family models at 2 bits per parameter.","lang":"eng"}],"publication_identifier":{"issn":["1049-5258"],"isbn":["9798331314385"]},"volume":37,"day":"20","has_accepted_license":"1","ddc":["000"],"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.","publisher":"Neural Information Processing Systems Foundation","OA_type":"gold","title":"PV-tuning: Beyond straight-through estimation for extreme LLM compression","file_date_updated":"2025-04-07T09:17:10Z","author":[{"last_name":"Malinovskii","first_name":"Vladimir","full_name":"Malinovskii, Vladimir"},{"first_name":"Denis","last_name":"Mazur","full_name":"Mazur, Denis"},{"last_name":"Ilin","first_name":"Ivan","full_name":"Ilin, Ivan"},{"full_name":"Kuznedelev, Denis","last_name":"Kuznedelev","first_name":"Denis"},{"full_name":"Burlachenko, Konstantin","last_name":"Burlachenko","first_name":"Konstantin"},{"first_name":"Kai","last_name":"Yi","full_name":"Yi, Kai"},{"first_name":"Dan-Adrian","id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-3650-940X","last_name":"Alistarh","full_name":"Alistarh, Dan-Adrian"},{"first_name":"Peter","last_name":"Richtarik","full_name":"Richtarik, Peter"}],"publication_status":"published","date_published":"2024-12-20T00:00:00Z","file":[{"creator":"dernst","date_created":"2025-04-07T09:17:10Z","success":1,"relation":"main_file","checksum":"54d36f947887e26d0e568b512167001a","date_updated":"2025-04-07T09:17:10Z","file_size":939712,"content_type":"application/pdf","file_id":"19521","access_level":"open_access","file_name":"2024_NeurIPS_Malinovskii.pdf"}],"citation":{"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.","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.","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.","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.","ista":"Malinovskii V, Mazur D, Ilin I, Kuznedelev D, Burlachenko K, Yi K, Alistarh D-A, Richtarik P. 2024. PV-tuning: Beyond straight-through estimation for extreme LLM compression. 38th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 37.","ama":"Malinovskii V, Mazur D, Ilin I, et al. PV-tuning: Beyond straight-through estimation for extreme LLM compression. In: 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."},"department":[{"_id":"DaAl"}],"status":"public","oa_version":"Published Version","language":[{"iso":"eng"}],"date_created":"2025-04-06T22:01:32Z","intvolume":" 37","date_updated":"2025-05-14T10:49:20Z","_id":"19519","quality_controlled":"1","alternative_title":["Advances in Neural Information Processing Systems"]},{"_id":"19520","date_updated":"2025-05-14T11:40:13Z","day":"27","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."}],"date_created":"2025-04-07T08:48:28Z","corr_author":"1","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.). ","status":"public","publication":"bioRxiv","OA_place":"repository","citation":{"short":"D. Vijatovic, F.A. Toma, Z.P. Harrington, C.M. Sommer, R. Hauschild, A.J. Trevisan, P. Chapman, M. Julseth, S. Brenner-Morton, M.I. Gabitto, J.S. Dasen, J.B. Bikoff, L.B. Sweeney, BioRxiv (n.d.).","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.","ama":"Vijatovic D, Toma FA, Harrington ZP, et al. 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