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Aram-Alexandre Pooladian
Aram-Alexandre Pooladian
New York University
Adresse e-mail validée de nyu.edu - Page d'accueil
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Entropic estimation of optimal transport maps
AA Pooladian, J Niles-Weed
arXiv preprint arXiv:2109.12004, 2021
702021
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
392023
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
332019
Learning normalizing flows from Entropy-Kantorovich potentials
C Finlay, A Gerolin, AM Oberman, AA Pooladian
arXiv preprint arXiv:2006.06033, 2020
222020
An entropic generalization of Caffarelli’s contraction theorem via covariance inequalities
S Chewi, AA Pooladian
Comptes Rendus. Mathématique 361 (G9), 1471-1482, 2023
162023
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
142023
Optimal transport map estimation in general function spaces
V Divol, J Niles-Weed, AA Pooladian
arXiv preprint arXiv:2212.03722, 2022
142022
Debiaser beware: Pitfalls of centering regularized transport maps
AA Pooladian, M Cuturi, J Niles-Weed
International Conference on Machine Learning, 17830-17847, 2022
92022
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
62022
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
62020
Learning costs for structured monge displacements
M Klein, AA Pooladian, P Ablin, E Ndiaye, J Niles-Weed, M Cuturi
arXiv preprint arXiv:2306.11895, 2023
32023
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Y Jiang, S Chewi, AA Pooladian
arXiv preprint arXiv:2312.02849, 2023
22023
Neural optimal transport with lagrangian costs
AA Pooladian, C Domingo-Enrich, RTQ Chen, B Amos
ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, 2023
22023
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
22023
Tight stability bounds for entropic Brenier maps
V Divol, J Niles-Weed, AA Pooladian
arXiv preprint arXiv:2404.02855, 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
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