Kilian Fatras

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Remote Sensing Images

Multiple Sources

Diffusion Models

Top Venues

Trans. Mach. Learn. Res.

IEEE Trans. Geosci. Remote. Sens.

Publications

Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien
PopulAtion Parameter Averaging (PAPA). Trans. Mach. Learn. Res. 2024 (2024)
Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio
Simulation-Free Schrödinger Bridges via Score and Flow Matching. AISTATS (2024)
Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees. AISTATS (2024)
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
SE(3)-Stochastic Flow Matching for Protein Backbone Generation. ICLR (2024)
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
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation. CoRR (2024)
Alexander Tong, Kilian Fatras, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Guy Wolf, Yoshua Bengio
Improving and generalizing flow-based generative models with minibatch optimal transport. Trans. Mach. Learn. Res. 2024 (2024)
Charles Guille-Escuret, Hiroki Naganuma, Kilian Fatras, Ioannis Mitliagkas
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths. CoRR (2023)
Alexander Tong, Nikolay Malkin, Kilian Fatras, Lazar Atanackovic, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Yoshua Bengio
Simulation-free Schrödinger bridges via score and flow matching. CoRR (2023)
Thibault Séjourné, Clément Bonet, Kilian Fatras, Kimia Nadjahi, Nicolas Courty
Unbalanced Optimal Transport meets Sliced-Wasserstein. CoRR (2023)
Alexia Jolicoeur-Martineau, Kilian Fatras, Ke Li, Tal Kachman
Diffusion models with location-scale noise. CoRR (2023)
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
SE(3)-Stochastic Flow Matching for Protein Backbone Generation. CoRR (2023)
Alexia Jolicoeur-Martineau, Kilian Fatras, Tal Kachman
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees. CoRR (2023)
Alexander Tong, Nikolay Malkin, Guillaume Huguet, Yanlei Zhang, Jarrid Rector-Brooks, Kilian Fatras, Guy Wolf, Yoshua Bengio
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport. CoRR (2023)
Tiago Salvador, Kilian Fatras, Ioannis Mitliagkas, Adam M. Oberman
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods. Trans. Mach. Learn. Res. 2023 (2023)
Alexia Jolicoeur-Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien
PopulAtion Parameter Averaging (PAPA). CoRR (2023)
Kilian Fatras, Hiroki Naganuma, Ioannis Mitliagkas
Optimal Transport meets Noisy Label Robust Loss and MixUp Regularization for Domain Adaptation. CoLLAs (2022)
Kilian Fatras, Hiroki Naganuma, Ioannis Mitliagkas
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation. CoRR (2022)
Jean-Christophe Burnel, Kilian Fatras, Rémi Flamary, Nicolas Courty
Generating Natural Adversarial Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Kilian Fatras
On making optimal transport robust to all outliers. CoRR (2022)
Kilian Fatras, Bharath Bhushan Damodaran, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty
Wasserstein Adversarial Regularization for Learning With Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Tiago Salvador, Kilian Fatras, Ioannis Mitliagkas, Adam M. Oberman
A Reproducible and Realistic Evaluation of Partial Domain Adaptation Methods. CoRR (2022)
Kilian Fatras, Thibault Séjourné, Nicolas Courty, Rémi Flamary
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. CoRR (2021)
Kilian Fatras, Thibault Séjourné, Rémi Flamary, Nicolas Courty
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. ICML (2021)
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
POT: Python Optimal Transport. J. Mach. Learn. Res. 22 (2021)
Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Minibatch optimal transport distances; analysis and applications. CoRR (2021)
Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS (2020)
Jean-Christophe Burnel, Kilian Fatras, Nicolas Courty
Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN. CoRR (2020)
Bharath Bhushan Damodaran, Kilian Fatras, Sylvain Lobry, Rémi Flamary, Devis Tuia, Nicolas Courty
Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. CoRR (2019)
Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
Learning with minibatch Wasserstein : asymptotic and gradient properties. CoRR (2019)
Fabian Pedregosa, Kilian Fatras, Mattia Casotto
Proximal Splitting Meets Variance Reduction. AISTATS (2019)