Fatras, Kilian

18 publications

TMLR 2025 Slicing Unbalanced Optimal Transport Clément Bonet, Kimia Nadjahi, Thibault Sejourne, Kilian Fatras, Nicolas Courty

AISTATS 2024 Generating and Imputing Tabular Data via Diffusion and Flow-Based Gradient-Boosted Trees Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman

TMLR 2024 Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio

ICML 2024 No Wrong Turns: The Simple Geometry of Neural Networks Optimization Paths Charles Guille-Escuret, Hiroki Naganuma, Kilian Fatras, Ioannis Mitliagkas

TMLR 2024 PopulAtion Parameter Averaging (PAPA) Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien

ICLR 2024 SE(3)-Stochastic Flow Matching for Protein Backbone Generation Joey Bose, Tara Akhound-Sadegh, Guillaume Huguet, Kilian Fatras, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong

NeurIPS 2024 Sequence-Augmented SE(3)-Flow Matching for Conditional Protein Generation Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael Bronstein, Alexander Tong, Avishek Joey Bose

AISTATS 2024 Simulation-Free Schrödinger Bridges via Score and Flow Matching Alexander Y. Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio

TMLR 2023 A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods Tiago Salvador, Kilian Fatras, Ioannis Mitliagkas, Adam M Oberman

ICMLW 2023 Improving and Generalizing Flow-Based Generative Models with Minibatch Optimal Transport Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, Yoshua Bengio

ICMLW 2023 Simulation-Free Schrödinger Bridges via Score and Flow Matching Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio

ICMLW 2023 Unbalanced Optimal Transport Meets Sliced-Wasserstein Thibault Sejourne, Clément Bonet, Kilian Fatras, Kimia Nadjahi, Nicolas Courty

NeurIPSW 2022 A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods Tiago Salvador, Kilian Fatras, Ioannis Mitliagkas, Adam M Oberman

CoLLAs 2022 Optimal Transport Meets Noisy Label Robust Loss and MixUp Regularization for Domain Adaptation Kilian Fatras, Hiroki Naganuma, Ioannis Mitliagkas

MLOSS 2021 POT: Python Optimal Transport Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T.H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer

ICML 2021 Unbalanced Minibatch Optimal Transport; Applications to Domain Adaptation Kilian Fatras, Thibault Sejourne, Rémi Flamary, Nicolas Courty

AISTATS 2020 Learning with Minibatch Wasserstein : Asymptotic and Gradient Properties Kilian Fatras, Younes Zine, Rémi Flamary, Remi Gribonval, Nicolas Courty

AISTATS 2019 Proximal Splitting Meets Variance Reduction Fabian Pedregosa, Kilian Fatras, Mattia Casotto