| Generalized sliced wasserstein distances S Kolouri, K Nadjahi, U Simsekli, R Badeau, G Rohde Advances in neural information processing systems 32, 2019 | 445 | 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 | 129 | 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 | 98 | 2019 |
| Asymmetry in low-rank adapters of foundation models J Zhu, K Greenewald, K Nadjahi, HSDO Borde, RB Gabrielsson, ... arXiv preprint arXiv:2402.16842, 2024 | 81 | 2024 |
| 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 | 59 | 2021 |
| Approximate Bayesian computation with the sliced-Wasserstein distance K Nadjahi, V De Bortoli, A Durmus, R Badeau, U Şimşekli ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 47 | 2020 |
| Safe policy improvement with soft baseline bootstrapping K Nadjahi, R Laroche, R Tachet des Combes Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 42 | 2019 |
| Sliced-Wasserstein distance for large-scale machine learning: theory, methodology and extensions K Nadjahi Institut polytechnique de Paris, 2021 | 26 | 2021 |
| Generalized sliced probability metrics S Kolouri, K Nadjahi, S Shahrampour, U Şimşekli ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 25* | 2022 |
| Slicing Unbalanced Optimal Transport C Bonet, K Nadjahi, T Séjourné, K Fatras, N Courty Transactions on Machine Learning Research, 2024 | 22* | 2024 |
| Optimal transport-based conformal prediction G Thurin, K Nadjahi, C Boyer arXiv preprint arXiv:2501.18991, 2025 | 13 | 2025 |
| 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 | 12 | 2023 |
| Federated wasserstein distance A Rakotomamonjy, K Nadjahi, L Ralaivola arXiv preprint arXiv:2310.01973, 2023 | 11 | 2023 |
| Slicing mutual information generalization bounds for neural networks K Nadjahi, K Greenewald, RB Gabrielsson, J Solomon arXiv preprint arXiv:2406.04047, 2024 | 10 | 2024 |
| Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization M Sefidgaran, K Nadjahi, A Zaidi arXiv preprint arXiv:2510.23485, 2025 | | 2025 |
