| 2025 | AISTATS | 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 |
| 2025 | ICML | Wasserstein Flow Matching: Generative Modeling Over Families of Distributions. | Doron Haviv, Aram-Alexandre Pooladian, Dana Pe'er, Brandon Amos |
| 2024 | COLT | Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space. | Yiheng Jiang, Sinho Chewi, Aram-Alexandre Pooladian |
| 2024 | UAI | Neural Optimal Transport with Lagrangian Costs. | Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos |
| 2023 | ICML | 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 |
| 2023 | ICML | Minimax estimation of discontinuous optimal transport maps: The semi-discrete case. | Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed |
| 2022 | ICML | Debiaser Beware: Pitfalls of Centering Regularized Transport Maps. | Aram-Alexandre Pooladian, Marco Cuturi, Jonathan Niles-Weed |
| 2020 | AISTATS | A principled approach for generating adversarial images under non-smooth dissimilarity metrics. | Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman |
| 2019 | ICCV | The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information. | Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman |