Richard, Gaël

13 publications

NeurIPS 2024 Annealed Multiple Choice Learning: Overcoming Limitations of Winner-Takes-All with Annealing David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickael Chen, Slim Essid, Gaël Richard

ICML 2024 Winner-Takes-All Learners Are Geometry-Aware Conditional Density Estimators Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Perez

NeurIPS 2023 Resilient Multiple Choice Learning: A Learned Scoring Scheme with Application to Audio Scene Analysis Victor Letzelter, Mathieu Fontaine, Mickael Chen, Patrick Pérez, Slim Essid, Gaël Richard

NeurIPS 2022 Listen to Interpret: Post-Hoc Interpretability for Audio Networks with NMF Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard

COLT 2022 Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms Milad Sefidgaran, Amin Gohari, Gaël Richard, Umut Simsekli

NeurIPS 2021 Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks Melih Barsbey, Milad Sefidgaran, Murat A Erdogdu, Gaël Richard, Umut Simsekli

ICML 2021 Relative Positional Encoding for Transformers with Linear Complexity Antoine Liutkus, Ondřej Cı́fka, Shih-Lun Wu, Umut Simsekli, Yi-Hsuan Yang, Gael Richard

NeurIPS 2019 First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise Thanh Huy Nguyen, Umut Simsekli, Mert Gurbuzbalaban, Gaël Richard

ICML 2019 Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization Than Huy Nguyen, Umut Simsekli, Gael Richard

ICML 2018 Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization Umut Simsekli, Cagatay Yildiz, Than Huy Nguyen, Taylan Cemgil, Gael Richard

CVPRW 2018 Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard

NeurIPS 2016 Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo Alain Durmus, Umut Simsekli, Eric Moulines, Roland Badeau, Gaël Richard

ICML 2016 Stochastic Quasi-Newton Langevin Monte Carlo Umut Simsekli, Roland Badeau, Taylan Cemgil, Gaël Richard