Pooladian, Aram-Alexandre

12 publications

AISTATS 2025 Conditional Simulation via Entropic Optimal Transport: Toward Non-Parametric Estimation of Conditional Brenier Maps Ricardo Baptista, Aram-Alexandre Pooladian, Michael Brennan, Youssef Marzouk, Jonathan Niles-Weed

ICML 2025 Wasserstein Flow Matching: Generative Modeling over Families of Distributions Doron Haviv, Aram-Alexandre Pooladian, Dana Pe’Er, Brandon Amos

COLT 2024 Algorithms for Mean-Field Variational Inference via Polyhedral Optimization in the Wasserstein Space Yiheng Jiang, Sinho Chewi, Aram-Alexandre Pooladian

NeurIPS 2024 Learning Elastic Costs to Shape Monge Displacements Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi

UAI 2024 Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos

NeurIPS 2024 Progressive Entropic Optimal Transport Solvers Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi

TMLR 2023 An Explicit Expansion of the Kullback-Leibler Divergence Along Its Fisher-Rao Gradient Flow Carles Domingo-Enrich, Aram-Alexandre Pooladian

ICML 2023 Minimax Estimation of Discontinuous Optimal Transport Maps: The Semi-Discrete Case Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed

ICML 2023 Multisample Flow Matching: Straightening Flows with Minibatch Couplings Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen

ICMLW 2023 Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos

ICML 2022 Debiaser Beware: Pitfalls of Centering Regularized Transport Maps Aram-Alexandre Pooladian, Marco Cuturi, Jonathan Niles-Weed

AISTATS 2020 A Principled Approach for Generating Adversarial Images Under Non-Smooth Dissimilarity Metrics Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam Oberman