Accepted paper @ NeurIPS 2019

Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette Conference on Neural Information Processing Systems (NeurIPS), 2019 [pdf]   and also a communication in a workshop: Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory Paul Viallard ; Rémi Emonet ; Pascal…

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Kick-Off Meeting

Monday, 27th May – Inria, Paris Attendees: Rémi Emonet, Léo Gautheron, Pascal Germain, Benjamin Guedj, Amaury Habrard, Vera Shalaeva, Emilie Morvant, Paul Viallard Scientific talks Vera Shalaeva, PAC-Bayesian Generalization Bounds For Dropout Neural Networks Paul Viallard, Interpreting Neural Networks as Majority Votes Pascal Germain, Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep…

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