Zobrazeno 1 - 10 of 264 pro vyhledávání: '"Guedj, B"'
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Akademický článek
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2
Akademický článek
Discord in the voter model for complex networks.
Autor: Vendeville A; Department of Computer Science, University College London, WC1V 6LJ London, United Kingdom., Zhou S; Department of Computer Science, University College London, WC1V 6LJ London, United Kingdom., Guedj B; Department of Computer Science, University College London, WC1V 6LJ London, United Kingdom.; Inria Lille - Nord Europe, 59650 Villeneuve d'Ascq, France.
Publikováno v: Physical review. E [Phys Rev E] 2024 Feb; Vol. 109 (2-1), pp. 024312.
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3
Akademický článek
Bayesian uncertainty quantification for anaerobic digestion models.
Autor: Picard-Weibel A; SUEZ, CIRSEE, 38 rue du Président Wilson, 78230 Le Pecq, France; Laboratoire Paul Painlevé, Univ. de Lille Cité Scientifique, F-59655 Villeneuve d'Ascq, France; MODAL, Inria 40 avenue Halley, 59650 Villeneuve d'Ascq, France. Electronic address: antoine.picard.ext@suez.com., Capson-Tojo G; INRAE, Univ. Montpellier, LBE 102 avenue des étangs, 11100 Narbonne, France., Guedj B; Centre for Artificial Intelligence, UCL 90 High Holborn, WC1V 6LJ London, United Kingdom; MODAL, Inria 40 avenue Halley, 59650 Villeneuve d'Ascq, France., Moscoviz R; SUEZ, CIRSEE, 38 rue du Président Wilson, 78230 Le Pecq, France.
Publikováno v: Bioresource technology [Bioresour Technol] 2024 Feb; Vol. 394, pp. 130147. Date of Electronic Publication: 2023 Dec 02.
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5
On PAC-Bayesian reconstruction guarantees for VAEs
Autor: Cherief-Abdellatif, B-E, Shi, Y, Doucet, A, Guedj, B
Publikováno v: 25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022
25th International Conference on Artificial Intelligence and Statistics (AISTATS) 2022, Mar 2022, Valencia / Virtual, Spain
Despite its wide use and empirical successes, the theoretical understanding and study of the behaviour and performance of the variational autoencoder (VAE) have only emerged in the past few years. We contribute to this recent line of work by analysin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a65937a9f0aa496bb191e622e21cbfd6
https://inria.hal.science/hal-03587178
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6
Online k-means clustering
Autor: Cohen-Addad, V, Guedj, B, Rom, G
We study the problem of learning a clustering of an online set of points. The specific formulation we use is the k-means objective: At each time step the algorithm has to maintain a set of k candidate centers and the loss incurred by the algorithm is
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1064::18762a2a9a8766707a266d2d54fb1b41
https://ora.ox.ac.uk/objects/uuid:2dc0ce88-fc92-4ef6-9ee1-8bc8c3184620
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7
Dichotomize and Generalize:PAC-Bayesian Binary Activated Deep Neural Networks
Autor: Letarte, G. (Gaël), Germain, P. (Pascal), Guedj, B. (Benjamin), Laviolette, F. (François)
We present a comprehensive study of multilayer neural networks with binary activation, relying on the PAC-Bayesian theory. Our contributions are twofold: (i) we develop an end-to-end framework to train a binary activated deep neural network, overcomi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______4198::3611ae88290cc1831d2baed4f77102ef
http://hdl.handle.net/20.500.12210/29179
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8
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
Autor: Letarte, G., Guedj, B., Pascal Germain, Laviolette, F.
Publikováno v: NeurIPS 2019-Thirty-third Conference on Neural Information Processing Systems
NeurIPS 2019-Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada
ML with guarantees--NeurIPS 2019 workshop
ML with guarantees--NeurIPS 2019 workshop, Dec 2019, Vancouver, Canada
Scopus-Elsevier
International audience; We present a comprehensive study of multilayer neural networks with binary activation, relying on the PAC-Bayesian theory. Our contributions are twofold: (i) we develop an end-to-end framework to train a binary activated deep
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be212b483192a82465a499e0d273dfab
https://hal.inria.fr/hal-02139432v2/document
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9
Akademický článek
Still No Free Lunches: The Price to Pay for Tighter PAC-Bayes Bounds.
Autor: Guedj B; Centre for Artificial Intelligence, Department of Computer Science, University College London, London WC1V 6LJ, UK.; Inria Lille-Nord Europe Research Centre and Inria London, 59800 Lille, France., Pujol L; Laboratoire de Mathématiques d'Orsay, Université Paris-Saclay, CNRS, 91405 Orsay, France.
Publikováno v: Entropy (Basel, Switzerland) [Entropy (Basel)] 2021 Nov 18; Vol. 23 (11). Date of Electronic Publication: 2021 Nov 18.
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10
Akademický článek
Sequential Learning of Principal Curves: Summarizing Data Streams on the Fly.
Autor: Li L; Department of Statistics, Central China Normal University, Wuhan 430079, China., Guedj B; Inria, Lille-Nord Europe Research Centre and Inria London, France and Centre for Artificial Intelligence, Department of Computer Science, University College London, London WC1V 6LJ, UK.
Publikováno v: Entropy (Basel, Switzerland) [Entropy (Basel)] 2021 Nov 18; Vol. 23 (11). Date of Electronic Publication: 2021 Nov 18.
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