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Rémi Emonet

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Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures

Feb 19, 2024
Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi

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Fair Text Classification with Wasserstein Independence

Nov 21, 2023
Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier

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Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound

Jun 23, 2021
Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj

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Mean Oriented Riesz Features for Micro Expression Classification

May 13, 2020
Carlos Arango Duque, Olivier Alata, Rémi Emonet, Hubert Konik, Anne-Claire Legrand

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An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data

Sep 02, 2019
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Sébastien Riou, Marc Sebban

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Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization

Jun 12, 2019
Yichang Wang, Rémi Emonet, Elisa Fromont, Simon Malinowski, Etienne Menager, Loïc Mosser, Romain Tavenard

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End-to-end Learning for Early Classification of Time Series

Jan 30, 2019
Marc Rußwurm, Sébastien Lefèvre, Nicolas Courty, Rémi Emonet, Marco Körner, Romain Tavenard

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IoU is not submodular

Sep 03, 2018
Tanguy Kerdoncuff, Rémi Emonet

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Residual Conv-Deconv Grid Network for Semantic Segmentation

Jul 26, 2017
Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Alain Tremeau, Christian Wolf

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