Generalized sliced wasserstein distances S Kolouri, K Nadjahi, U Simsekli, R Badeau, G Rohde Advances in neural information processing systems 32, 2019 | 290 | 2019 |
Statistical and topological properties of sliced probability divergences K Nadjahi, A Durmus, L Chizat, S Kolouri, S Shahrampour, U Simsekli Advances in Neural Information Processing Systems 33, 20802-20812, 2020 | 73 | 2020 |
Asymptotic guarantees for learning generative models with the sliced-Wasserstein distance K Nadjahi, A Durmus, U Simsekli, R Badeau Advances in Neural Information Processing Systems 32, 2019 | 65 | 2019 |
Approximate Bayesian computation with the sliced-Wasserstein distance K Nadjahi, V De Bortoli, A Durmus, R Badeau, U ªimºekli ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 36 | 2020 |
Safe policy improvement with soft baseline bootstrapping K Nadjahi, R Laroche, R Tachet des Combes Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020 | 35 | 2020 |
Fast approximation of the sliced-Wasserstein distance using concentration of random projections K Nadjahi, A Durmus, PE Jacob, R Badeau, U Simsekli Advances in Neural Information Processing Systems 34, 12411-12424, 2021 | 33 | 2021 |
Sliced-Wasserstein distance for large-scale machine learning: theory, methodology and extensions K Nadjahi Institut polytechnique de Paris, 2021 | 12 | 2021 |
Generalized sliced probability metrics S Kolouri, K Nadjahi, S Shahrampour, U ªimºekli ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 8 | 2022 |
Generalized sliced distances for probability distributions S Kolouri, K Nadjahi, U Simsekli, S Shahrampour arXiv preprint arXiv:2002.12537, 2020 | 6 | 2020 |
Shedding a PAC-Bayesian light on adaptive sliced-Wasserstein distances R Ohana, K Nadjahi, A Rakotomamonjy, L Ralaivola International Conference on Machine Learning, 26451-26473, 2023 | 5 | 2023 |
Unbalanced optimal transport meets sliced-Wasserstein T Séjourné, C Bonet, K Fatras, K Nadjahi, N Courty arXiv preprint arXiv:2306.07176, 2023 | 5 | 2023 |
ekli, and R K Nadjahi, A Durmus, U Sims Badeau,“Asymptotic Guarantees for Learning Generative Models with the Sliced …, 2019 | 4 | 2019 |
Federated Wasserstein Distance A Rakotomamonjy, K Nadjahi, L Ralaivola arXiv preprint arXiv:2310.01973, 2023 | 2 | 2023 |
Asymmetry in Low-Rank Adapters of Foundation Models J Zhu, K Greenewald, K Nadjahi, HSO Borde, RB Gabrielsson, L Choshen, ... arXiv preprint arXiv:2402.16842, 2024 | 1 | 2024 |
Slicing Mutual Information Generalization Bounds for Neural Networks K Nadjahi, K Greenewald, RB Gabrielsson, J Solomon | | 2023 |
Soft Safe Policy Improvement with Baseline Bootstrapping K Nadjahi, R Laroche, RT des Combes | | |