Emonet, Rémi

24 publications

ICML 2025 A Bregman Proximal Viewpoint on Neural Operators Abdel-Rahim Mezidi, Jordan Patracone, Saverio Salzo, Amaury Habrard, Massimiliano Pontil, Rémi Emonet, Marc Sebban

NeurIPS 2025 On the Closed-Form of Flow Matching: Generalization Does Not Arise from Target Stochasticity Quentin Bertrand, Anne Gagneux, Mathurin Massias, Rémi Emonet

ECML-PKDD 2025 Provably Accurate Adaptive Sampling for Collocation Points in Physics-Informed Neural Networks Antoine Caradot, Rémi Emonet, Amaury Habrard, Abdel-Rahim Mezidi, Marc Sebban

ECML-PKDD 2024 Approximation Error of Sobolev Regular Functions with Tanh Neural Networks: Theoretical Impact on PINNs Benjamin Girault, Rémi Emonet, Amaury Habrard, Jordan Patracone, Marc Sebban

AISTATS 2024 Length Independent PAC-Bayes Bounds for Simple RNNs Volodimir Mitarchuk, Clara Lacroce, Rémi Eyraud, Rémi Emonet, Amaury Habrard, Guillaume Rabusseau

AISTATS 2024 Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures Paul Viallard, Rémi Emonet, Amaury Habrard, Emilie Morvant, Valentina Zantedeschi

TMLR 2024 On the Theoretical Limit of Gradient Descent for Simple Recurrent Neural Networks with Finite Precision Volodimir Mitarchuk, Rémi Emonet, Remi Eyraud, Amaury Habrard

ECML-PKDD 2023 Is My Neural Net Driven by the MDL Principle? Eduardo Brandao, Stefan Duffner, Rémi Emonet, Amaury Habrard, François Jacquenet, Marc Sebban

AAAI 2022 Optimal Tensor Transport Tanguy Kerdoncuff, Rémi Emonet, Michaël Perrot, Marc Sebban

NeurIPS 2021 Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj

MLJ 2021 Sampled Gromov Wasserstein Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban

ICML 2020 A Swiss Army Knife for Minimax Optimal Transport Sofien Dhouib, Ievgen Redko, Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban

IJCAI 2020 Learning from Few Positives: A Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban

IJCAI 2020 Metric Learning in Optimal Transport for Domain Adaptation Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban

AISTATS 2019 From Cost-Sensitive Classification to Tight F-Measure Bounds Kevin Bascol, Rémi Emonet, Elisa Fromont, Amaury Habrard, Guillaume Metzler, Marc Sebban

ECML-PKDD 2018 Fast and Provably Effective Multi-View Classification with Landmark-Based SVM Valentina Zantedeschi, Rémi Emonet, Marc Sebban

WACV 2018 Micro-Expression Spotting Using the Riesz Pyramid Carlos Arango Duque, Olivier Alata, Rémi Emonet, Anne-Claire Legrand, Hubert Konik

NeurIPS 2016 Beta-Risk: A New Surrogate Risk for Learning from Weakly Labeled Data Valentina Zantedeschi, Rémi Emonet, Marc Sebban

CVPR 2016 Metric Learning as Convex Combinations of Local Models with Generalization Guarantees Valentina Zantedeschi, Remi Emonet, Marc Sebban

CVPR 2015 Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation Rahaf Aljundi, Remi Emonet, Damien Muselet, Marc Sebban

CVPR 2012 Bridging the past, Present and Future: Modeling Scene Activities from Event Relationships and Global Rules Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez

ECCV 2012 Unsupervised Activity Analysis and Monitoring Algorithms for Effective Surveillance Systems Jean-Marc Odobez, Cyril Carincotte, Rémi Emonet, Erwan Jouneau, Sofia Zaidenberg, Bertrand Ravera, François Brémond, Andrea Grifoni

ECCVW 2012 Unsupervised Activity Analysis and Monitoring Algorithms for Effective Surveillance Systems Jean-Marc Odobez, Cyril Carincotte, Rémi Emonet, Erwan Jouneau, Sofia Zaidenberg, Bertrand Ravera, François Brémond, Andrea Grifoni

CVPR 2011 Extracting and Locating Temporal Motifs in Video Scenes Using a Hierarchical Non Parametric Bayesian Model Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez