| Entropic estimation of optimal transport maps AA Pooladian, J Niles-Weed arXiv preprint arXiv:2109.12004, 2021 | 102 | 2021 |
| Multisample flow matching: Straightening flows with minibatch couplings AA Pooladian, H Ben-Hamu, C Domingo-Enrich, B Amos, Y Lipman, ... arXiv preprint arXiv:2304.14772, 2023 | 62 | 2023 |
| The logbarrier adversarial attack: making effective use of decision boundary information C Finlay, AA Pooladian, A Oberman Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 35 | 2019 |
| Learning normalizing flows from Entropy-Kantorovich potentials C Finlay, A Gerolin, AM Oberman, AA Pooladian arXiv preprint arXiv:2006.06033, 2020 | 28 | 2020 |
| Minimax estimation of discontinuous optimal transport maps: The semi-discrete case AA Pooladian, V Divol, J Niles-Weed International Conference on Machine Learning, 28128-28150, 2023 | 25 | 2023 |
| An entropic generalization of Caffarelli’s contraction theorem via covariance inequalities S Chewi, AA Pooladian Comptes Rendus. Mathématique 361 (G9), 1471-1482, 2023 | 25 | 2023 |
| Optimal transport map estimation in general function spaces V Divol, J Niles-Weed, AA Pooladian arXiv preprint arXiv:2212.03722, 2022 | 19 | 2022 |
| Debiaser beware: Pitfalls of centering regularized transport maps AA Pooladian, M Cuturi, J Niles-Weed International Conference on Machine Learning, 17830-17847, 2022 | 14 | 2022 |
| Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Y Jiang, S Chewi, AA Pooladian The Thirty Seventh Annual Conference on Learning Theory, 2720-2721, 2024 | 7 | 2024 |
| An explicit expansion of the Kullback-Leibler divergence along its Fisher-Rao gradient flow C Domingo-Enrich, AA Pooladian arXiv preprint arXiv:2302.12229, 2023 | 7 | 2023 |
| A principled approach for generating adversarial images under non-smooth dissimilarity metrics AA Pooladian, C Finlay, T Hoheisel, A Oberman International Conference on Artificial Intelligence and Statistics, 1442-1452, 2020 | 7 | 2020 |
| Neural optimal transport with lagrangian costs AA Pooladian, C Domingo-Enrich, RTQ Chen, B Amos arXiv preprint arXiv:2406.00288, 2024 | 6 | 2024 |
| A study of one-parameter regularization methods for mathematical programs with vanishing constraints T Hoheisel, B Pablos, A Pooladian, A Schwartz, L Steverango Optimization Methods and Software 37 (2), 503-545, 2022 | 6 | 2022 |
| Learning Elastic Costs to Shape Monge Displacements M Klein, AA Pooladian, P Ablin, E Ndiaye, J Niles-Weed, M Cuturi arXiv e-prints, arXiv: 2306.11895, 2023 | 5* | 2023 |
| Tight stability bounds for entropic Brenier maps V Divol, J Niles-Weed, AA Pooladian arXiv preprint arXiv:2404.02855, 2024 | 3 | 2024 |
| Progressive Entropic Optimal Transport Solvers P Kassraie, AA Pooladian, M Klein, J Thornton, J Niles-Weed, M Cuturi arXiv preprint arXiv:2406.05061, 2024 | 1 | 2024 |
| Plug-in estimation of Schr\" odinger bridges AA Pooladian, J Niles-Weed arXiv preprint arXiv:2408.11686, 2024 | | 2024 |
| Numerical Methods for the Fermat-Weber Problem in the Polyhedral ℓp Norms AA Pooladian McGill University (Canada), 2020 | | 2020 |
| Farkas layers: don't shift the data, fix the geometry AA Pooladian, C Finlay, AM Oberman arXiv preprint arXiv:1910.02840, 2019 | | 2019 |
Jonathan Niles-WeedNew York UniversityVerified email at cims.nyu.edu
