Aram-Alexandre Pooladian

30 papers A* 8A 3Journal 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
Blind denoising diffusion models and the blessings of dimensionality.
CoRR
Zahra Kadkhodaie, Aram-Alexandre Pooladian, Sinho Chewi, Eero P. Simoncelli
2026 J jnl
Variational inference via radial transport.
CoRR
Luca Ghafourpour, Sinho Chewi, Alessio Figalli, Aram-Alexandre Pooladian
2025 A conf
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps.
AISTATS
Ricardo Baptista, Aram-Alexandre Pooladian, Michael Brennan, Youssef Marzouk, Jonathan Niles-Weed
2025 J jnl
Plug-in Estimation of Schrödinger Bridges.
SIAM J. Math. Data Sci.
Aram-Alexandre Pooladian, Jonathan Niles-Weed
2025 J jnl
Stability of the Kim-Milman flow map.
CoRR
Sinho Chewi, Aram-Alexandre Pooladian, Matthew S. Zhang
2025 J jnl
Theory and computation for structured variational inference.
CoRR
Shunan Sheng, Bohan Wu, Bennett Zhu, Sinho Chewi, Aram-Alexandre Pooladian
2025 A* conf
Wasserstein Flow Matching: Generative Modeling Over Families of Distributions.
ICML
Doron Haviv, Aram-Alexandre Pooladian, Dana Pe'er, Brandon Amos
2024 A* conf
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space.
COLT
Yiheng Jiang, Sinho Chewi, Aram-Alexandre Pooladian
2024 J jnl
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps.
CoRR
Ricardo Baptista, Aram-Alexandre Pooladian, Michael Brennan, Youssef M. Marzouk, Jonathan Niles-Weed
2024 A* conf
Learning Elastic Costs to Shape Monge Displacements.
NeurIPS
Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi
2024 A conf
Neural Optimal Transport with Lagrangian Costs.
UAI
Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos
2024 J jnl
Neural Optimal Transport with Lagrangian Costs.
CoRR
Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos
2024 J jnl
Plug-in estimation of Schrödinger bridges.
CoRR
Aram-Alexandre Pooladian, Jonathan Niles-Weed
2024 A* conf
Progressive Entropic Optimal Transport Solvers.
NeurIPS
Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi
2024 J jnl
Progressive Entropic Optimal Transport Solvers.
CoRR
Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi
2024 J jnl
Wasserstein Flow Matching: Generative modeling over families of distributions.
CoRR
Doron Haviv, Aram-Alexandre Pooladian, Dana Pe'er, Brandon Amos
2023 J jnl
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space.
CoRR
Yiheng Jiang, Sinho Chewi, Aram-Alexandre Pooladian
2023 J jnl
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow.
Trans. Mach. Learn. Res.
Carles Domingo-Enrich, Aram-Alexandre Pooladian
2023 J jnl
Learning Costs for Structured Monge Displacements.
CoRR
Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi
2023 A* conf
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case.
ICML
Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed
2023 A* conf
Multisample Flow Matching: Straightening Flows with Minibatch Couplings.
ICML
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
2023 J jnl
Multisample Flow Matching: Straightening Flows with Minibatch Couplings.
CoRR
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
2022 J jnl
A study of one-parameter regularization methods for mathematical programs with vanishing constraints.
Optim. Methods Softw.
Tim Hoheisel, Blanca Pablos, Aram-Alexandre Pooladian, Alexandra Schwartz, Luke Steverango
2022 A* conf
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps.
ICML
Aram-Alexandre Pooladian, Marco Cuturi, Jonathan Niles-Weed
2020 A conf
A principled approach for generating adversarial images under non-smooth dissimilarity metrics.
AISTATS
Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman
2020 J jnl
Learning normalizing flows from Entropy-Kantorovich potentials.
CoRR
Chris Finlay, Augusto Gerolin, Adam M. Oberman, Aram-Alexandre Pooladian
2019 J jnl
A principled approach for generating adversarial images under non-smooth dissimilarity metrics.
CoRR
Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman
2019 J jnl
Farkas layers: don't shift the data, fix the geometry.
CoRR
Aram-Alexandre Pooladian, Chris Finlay, Adam M. Oberman
2019 A* conf
The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information.
ICCV
Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman
2019 J jnl
The LogBarrier adversarial attack: making effective use of decision boundary information.
CoRR
Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman