| Deep k-svd denoising M Scetbon, M Elad, P Milanfar IEEE Transactions on Image Processing 30, 5944-5955, 2021 | 114 | 2021 |
| Low-rank sinkhorn factorization M Scetbon, M Cuturi, G Peyré International Conference on Machine Learning, 9344-9354, 2021 | 53 | 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 | 46 | 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 | 31 | 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 | 16 | 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 | 14 | 2022 |
| 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 |
| Comparing distributions: geometry improves kernel two-sample testing M Scetbon, G Varoquaux Advances in Neural Information Processing Systems 32, 2019 | 8* | 2019 |
| An asymptotic test for conditional independence using analytic kernel embeddings M Scetbon, L Meunier, Y Romano International Conference on Machine Learning, 19328-19346, 2022 | 7 | 2022 |
| Harmonic decompositions of convolutional networks M Scetbon, Z Harchaoui International Conference on Machine Learning, 8522-8532, 2020 | 7 | 2020 |
| Unbalanced Low-rank Optimal Transport Solvers M Scetbon, M Klein, G Palla, M Cuturi Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond M Scetbon, E Dohmatob International Conference on Artificial Intelligence and Statistics, 11583-11607, 2023 | 1 | 2023 |
| 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 | | 2024 |
| 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 | | 2024 |
| Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms E Dohmatob, M Scetbon arXiv preprint arXiv:2308.00556, 2023 | | 2023 |
| Polynomial-Time Solvers for the Discrete -Optimal Transport Problems 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 |
| Triangular Flows for Generative Modeling F Rates, NJ Irons, M Scetbon, S Pal, Z Harchaoui | | |
Marco CuturiApple / CREST-ENSAE.Verified email at apple.com
