Kilian Fatras

34 papers A* 4A 4Journal 24Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Slicing Unbalanced Optimal Transport.
Trans. Mach. Learn. Res.
Clément Bonet, Kimia Nadjahi, Thibault Séjourné, Kilian Fatras, Nicolas Courty
2024 A conf
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees.
AISTATS
Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman
2024 J jnl
Improving and generalizing flow-based generative models with minibatch optimal transport.
Trans. Mach. Learn. Res.
Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio
2024 A* conf
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths.
ICML
Charles Guille-Escuret, Hiroki Naganuma, Kilian Fatras, Ioannis Mitliagkas
2024 J jnl
PopulAtion Parameter Averaging (PAPA).
Trans. Mach. Learn. Res.
Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien
2024 A* conf
SE(3)-Stochastic Flow Matching for Protein Backbone Generation.
ICLR
Avishek 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
2024 J jnl
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation.
CoRR
Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael M. Bronstein, Alexander Tong, Avishek Joey Bose
2024 A* conf
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation.
NeurIPS
Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael M. Bronstein, Alexander Tong, Avishek Joey Bose
2024 A conf
Simulation-Free Schrödinger Bridges via Score and Flow Matching.
AISTATS
Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio
2023 J jnl
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods.
Trans. Mach. Learn. Res.
Tiago Salvador, Kilian Fatras, Ioannis Mitliagkas, Adam M. Oberman
2023 J jnl
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport.
CoRR
Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, Yoshua Bengio
2023 J jnl
Diffusion models with location-scale noise.
CoRR
Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman
2023 J jnl
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees.
CoRR
Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman
2023 J jnl
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths.
CoRR
Charles Guille-Escuret, Hiroki Naganuma, Kilian Fatras, Ioannis Mitliagkas
2023 J jnl
PopulAtion Parameter Averaging (PAPA).
CoRR
Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien
2023 J jnl
SE(3)-Stochastic Flow Matching for Protein Backbone Generation.
CoRR
Avishek Joey Bose, Tara Akhound-Sadegh, Kilian Fatras, Guillaume Huguet, Jarrid Rector-Brooks, Cheng-Hao Liu, Andrei Cristian Nica, Maksym Korablyov, Michael M. Bronstein, Alexander Tong
2023 J jnl
Simulation-free Schrödinger bridges via score and flow matching.
CoRR
Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio
2023 J jnl
Unbalanced Optimal Transport meets Sliced-Wasserstein.
CoRR
Thibault Séjourné, Clément Bonet, Kilian Fatras, Kimia Nadjahi, Nicolas Courty
2022 J jnl
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods.
CoRR
Tiago Salvador, Kilian Fatras, Ioannis Mitliagkas, Adam M. Oberman
2022 J jnl
Generating Natural Adversarial Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty
2022 J jnl
On making optimal transport robust to all outliers.
CoRR
Kilian Fatras
2022 — conf
Optimal Transport meets Noisy Label Robust Loss and MixUp Regularization for Domain Adaptation.
CoLLAs
Kilian Fatras, Hiroki Naganuma, Ioannis Mitliagkas
2022 J jnl
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation.
CoRR
Kilian Fatras, Hiroki Naganuma, Ioannis Mitliagkas
2022 J jnl
Wasserstein Adversarial Regularization for Learning With Label Noise.
IEEE Trans. Pattern Anal. Mach. Intell.
Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty
2021 — —
Deep learning and optimal transport: learning from one another. (Apprentissage profond et transport optimal: apprendre l'un de l'autre).
Kilian Fatras
2021 J jnl
Minibatch optimal transport distances; analysis and applications.
CoRR
Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2021 J jnl
POT: Python Optimal Transport.
J. Mach. Learn. Res.
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
2021 A* conf
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation.
ICML
Kilian Fatras, Thibault Séjourné, Rémi Flamary, Nicolas Courty
2021 J jnl
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation.
CoRR
Kilian Fatras, Thibault Séjourné, Nicolas Courty, Rémi Flamary
2020 J jnl
Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN.
CoRR
Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty
2020 A conf
Learning with minibatch Wasserstein : asymptotic and gradient properties.
AISTATS
Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2019 J jnl
Learning with minibatch Wasserstein : asymptotic and gradient properties.
CoRR
Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2019 A conf
Proximal Splitting Meets Variance Reduction.
AISTATS
Fabian Pedregosa, Kilian Fatras, Mattia Casotto
2019 J jnl
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise.
CoRR
Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty