Deep k-svd denoising M Scetbon, M Elad, P Milanfar
IEEE Transactions on Image Processing 30, 5944-5955, 2021
132 2021 Low-rank sinkhorn factorization M Scetbon, M Cuturi, G Peyré
International Conference on Machine Learning, 9344-9354, 2021
62 2021 Linear-time gromov wasserstein distances using low rank couplings and costs M Scetbon, G Peyré, M Cuturi
International Conference on Machine Learning, 19347-19365, 2022
59 2022 Mixed nash equilibria in the adversarial examples game L Meunier, M Scetbon, RB Pinot, J Atif, Y Chevaleyre
International Conference on Machine Learning, 7677-7687, 2021
36 2021 A spectral analysis of dot-product kernels M Scetbon, Z Harchaoui
International conference on artificial intelligence and statistics, 3394-3402, 2021
27 2021 Linear time Sinkhorn divergences using positive features M Scetbon, M Cuturi
Advances in neural information processing systems 33, 13468-13480, 2020
25 2020 Low-rank optimal transport: Approximation, statistics and debiasing M Scetbon, M Cuturi
Advances in Neural Information Processing Systems 35, 6802-6814, 2022
18 2022 Triangular flows for generative modeling: Statistical consistency, smoothness classes, and fast rates NJ Irons, M Scetbon, S Pal, Z Harchaoui
International Conference on Artificial Intelligence and Statistics, 10161-10195, 2022
15 2022 Comparing distributions: M Scetbon, G Varoquaux
Advances in Neural Information Processing Systems 32, 2019
11 * 2019 Equitable and optimal transport with multiple agents M Scetbon, L Meunier, J Atif, M Cuturi
International Conference on Artificial Intelligence and Statistics, 2035-2043, 2021
10 * 2021 Harmonic decompositions of convolutional networks M Scetbon, Z Harchaoui
International Conference on Machine Learning, 8522-8532, 2020
8 2020 The Essential Role of Causality in Foundation World Models for Embodied AI T Gupta, W Gong, C Ma, N Pawlowski, A Hilmkil, M Scetbon, A Famoti, ...
arXiv preprint arXiv:2402.06665, 2024
6 2024 An asymptotic test for conditional independence using analytic kernel embeddings M Scetbon, L Meunier, Y Romano
International Conference on Machine Learning, 19328-19346, 2022
5 2022 Robust linear regression: Gradient-descent, early-stopping, and beyond M Scetbon, E Dohmatob
International Conference on Artificial Intelligence and Statistics, 11583-11607, 2023
3 2023 Unbalanced low-rank optimal transport solvers M Scetbon, M Klein, G Palla, M Cuturi
Advances in Neural Information Processing Systems 36, 2024
2 2024 FiP: a Fixed-Point Approach for Causal Generative Modeling M Scetbon, J Jennings, A Hilmkil, C Zhang, C Ma
arXiv preprint arXiv:2404.06969, 2024
1 2024 Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms E Dohmatob, M Scetbon
arXiv preprint arXiv:2308.00556, 2023
1 2023 Polynomial-Time Solvers for the Discrete M Scetbon
arXiv preprint arXiv:2304.13467, 2023
2023 Advances in Optimal Transport: Low-Rank Structures and Applications in Machine Learning M Scetbon
Institut Polytechnique de Paris, 2023
2023 A Fixed-Point Approach for Causal Generative Modeling M Scetbon, J Jennings, A Hilmkil, C Zhang, C Ma
Forty-first International Conference on Machine Learning, 0
Marco CuturiApple / CREST-ENSAE.Adresse e-mail validée de apple.com
