المؤلفون: Gresele, Luigi, Fissore, Giancarlo, Javaloy, Adrián, Schölkopf, Bernhard, Hyvärinen, Aapo

مصطلحات موضوعية: Statistics - Machine Learning, Computer Science - Machine Learning

URL الوصول: http://arxiv.org/abs/2006.15090

المؤلفون: Fissore, Giancarlo, Decelle, Aurélien, Furtlehner, Cyril, Han, Yufei

مصطلحات موضوعية: Computer Science - Machine Learning, Condensed Matter - Disordered Systems and Neural Networks, Statistics - Machine Learning

URL الوصول: http://arxiv.org/abs/1912.09382

المؤلفون: Decelle, Aurélien, Fissore, Giancarlo, Furtlehner, Cyril

المصدر: Decelle, A., Fissore, G. & Furtlehner, C. J Stat Phys (2018)

مصطلحات موضوعية: Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Statistical Mechanics, Computer Science - Machine Learning

URL الوصول: http://arxiv.org/abs/1803.01960

المؤلفون: Decelle, Aurélien, Fissore, Giancarlo, Furtlehner, Cyril

المصدر: EPL 119 (2017) 60001

مصطلحات موضوعية: Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Statistical Mechanics, Computer Science - Learning

URL الوصول: http://arxiv.org/abs/1708.02917

المؤلفون: Gresele, Luigi, Fissore, Giancarlo, Javaloy, Adrian, Schölkopf, Bernhard, Hyvärinen, Aapo

المساهمون: Department of Computer Science

مصطلحات موضوعية: Neurosciences

وصف الملف: application/pdf

Relation: NeurIPS2020; Advances in Neural Information Processing Systems; Gresele , L , Fissore , G , Javaloy , A , Schölkopf , B & Hyvärinen , A 2020 , Relative gradient optimization of the Jacobian term in unsupervised deep learning . in NeurIPS2020 . Advances in Neural Information Processing Systems , vol. 33 , Neural Information Processing Systems Foundation , Conference on Neural Information Processing Systems (NeurIPS 2020) , 06/12/2020 . < https://arxiv.org/pdf/2006.15090 >; conference; ORCID: /0000-0002-5806-4432/work/99273125; http://hdl.handle.net/10138/339615; 498c8ced-9b82-40d8-9d31-3c07bbf6c31c; 85108391661

الاتاحة: http://hdl.handle.net/10138/339615

المؤلفون: Fissore, Giancarlo, Vasiloglou, Nikolaos

المصدر: Proceedings of the 31st ACM International Conference on Information & Knowledge Management

الاتاحة: http://dx.doi.org/10.1145/3511808.3557520
https://dl.acm.org/doi/pdf/10.1145/3511808.3557520

المؤلفون: Fissore, Giancarlo

المساهمون: Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), TAckling the Underspecified (TAU), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université Paris-Saclay, Cyril Furtlehner, Aurélien Decelle

المصدر: Disordered Systems and Neural Networks [cond-mat.dis-nn]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG028⟩

مصطلحات موضوعية: Generative models, Champ moyen, [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Restricted Boltzmann machines, Missing information, Normalizing Flows, Mean field, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Machines de Boltzmann restreintes, Modèles génératifs, Informations manquantes, Réseaux de neurones, [PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn], Neural networks

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od_______165::faa409968f54dcd52d2078a755063384
https://theses.hal.science/tel-03710286

المؤلفون: Fissore, Giancarlo

المساهمون: Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), TAckling the Underspecified (TAU), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université Paris-Saclay, Cyril Furtlehner, Aurélien Decelle

المصدر: https://theses.hal.science/tel-03710286 ; Disordered Systems and Neural Networks [cond-mat.dis-nn]. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG028⟩.

مصطلحات موضوعية: Restricted Boltzmann machines, Normalizing Flows, Generative models, Mean field, Missing information, Neural networks, Machines de Boltzmann restreintes, Modèles génératifs, Champ moyen, Informations manquantes, Réseaux de neurones, [PHYS.COND.CM-DS-NN]Physics [physics]/Condensed Matter [cond-mat]/Disordered Systems and Neural Networks [cond-mat.dis-nn], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]

Relation: NNT: 2022UPASG028

الاتاحة: https://theses.hal.science/tel-03710286
https://theses.hal.science/tel-03710286v1/document
https://theses.hal.science/tel-03710286v1/file/96253_FISSORE_2022_archivage.pdf

المؤلفون: Luigi Gresele, Giancarlo Fissore, Adrian Javaloy, Bernhard Schölkopf, Aapo Hyvarinen

المساهمون: Department of Computer Science, Max Planck Institute for Intelligent Systems, Max-Planck-Gesellschaft, Max Planck Institute for Biological Cybernetics, Université Paris-Saclay, Laboratoire de Recherche en Informatique (LRI), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), TAckling the Underspecified (TAU), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de Recherche en Informatique (LRI), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut National de Recherche en Informatique et en Automatique (Inria), University of Helsinki, Fissore, Giancarlo, Max Planck Institute for Intelligent Systems [Tübingen], Helsingin yliopisto = Helsingfors universitet = University of Helsinki, University of Helsinki, Department of Computer Science

المصدر: University of Helsinki
NeurIPS 2020-34h Conference on Neural Information Processing Systems
NeurIPS 2020-34h Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtuel, Canada
Advances in Neural Information Processing Systems 33

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Statistics - Machine Learning, education, 3112 Neurosciences, Machine Learning (stat.ML), [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Machine Learning (cs.LG)

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e0c53db57a10c45338372f7325011b4
https://researchportal.helsinki.fi/en/publications/498c8ced-9b82-40d8-9d31-3c07bbf6c31c