The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information. - Chris Finlay; Aram-Alexandre Pooladian; Adam M. Oberman (ICCV, 2019)

Farkas layers: don't shift the data, fix the geometry. - Aram-Alexandre Pooladian; Chris Finlay; Adam M. Oberman (CoRR, 2019)

A principled approach for generating adversarial images under non-smooth dissimilarity metrics. - Aram-Alexandre Pooladian; Chris Finlay; Tim Hoheisel; Adam M. Oberman (AISTATS, 2020)

Learning normalizing flows from Entropy-Kantorovich potentials. - Chris Finlay; Augusto Gerolin; Adam M. Oberman; Aram-Alexandre Pooladian (CoRR, 2020)

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

A study of one-parameter regularization methods for mathematical programs with vanishing constraints. - Tim Hoheisel; Blanca Pablos; Aram-Alexandre Pooladian; Alexandra Schwartz; Luke Steverango (Optim. Methods Softw., 2022)

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 (ICML, 2023)

Minimax estimation of discontinuous optimal transport maps: The semi-discrete case. - Aram-Alexandre Pooladian; Vincent Divol; Jonathan Niles-Weed (ICML, 2023)

Learning Costs for Structured Monge Displacements. - Michal Klein; Aram-Alexandre Pooladian; Pierre Ablin; Eugène Ndiaye; Jonathan Niles-Weed; Marco Cuturi (CoRR, 2023)

An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow. - Carles Domingo-Enrich; Aram-Alexandre Pooladian (Trans. Mach. Learn. Res., 2023)

Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space. - Yiheng Jiang; Sinho Chewi; Aram-Alexandre Pooladian (COLT, 2024)

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

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

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

Plug-in estimation of Schrödinger bridges. - Aram-Alexandre Pooladian; Jonathan Niles-Weed (CoRR, 2024)

Wasserstein Flow Matching: Generative modeling over families of distributions. - Doron Haviv; Aram-Alexandre Pooladian; Dana Pe'er; Brandon Amos (CoRR, 2024)

Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps. - Ricardo Baptista; Aram-Alexandre Pooladian; Michael Brennan; Youssef Marzouk 001; Jonathan Niles-Weed (AISTATS, 2025)