Aram-Alexandre Pooladian

According to our database1, Aram-Alexandre Pooladian authored at least 17 papers between 2019 and 2024.

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Timeline

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2024
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Bibliography

2024
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps.
CoRR, 2024

Wasserstein Flow Matching: Generative modeling over families of distributions.
CoRR, 2024

Plug-in estimation of Schrödinger bridges.
CoRR, 2024

Neural Optimal Transport with Lagrangian Costs.
CoRR, 2024

Learning Elastic Costs to Shape Monge Displacements.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Progressive Entropic Optimal Transport Solvers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow.
Trans. Mach. Learn. Res., 2023

Learning Costs for Structured Monge Displacements.
CoRR, 2023

Minimax estimation of discontinuous optimal transport maps: The semi-discrete case.
Proceedings of the International Conference on Machine Learning, 2023

Multisample Flow Matching: Straightening Flows with Minibatch Couplings.
Proceedings of the International Conference on Machine Learning, 2023

2022
A study of one-parameter regularization methods for mathematical programs with vanishing constraints.
Optim. Methods Softw., 2022

Debiaser Beware: Pitfalls of Centering Regularized Transport Maps.
Proceedings of the International Conference on Machine Learning, 2022

2020
Learning normalizing flows from Entropy-Kantorovich potentials.
CoRR, 2020

A principled approach for generating adversarial images under non-smooth dissimilarity metrics.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Farkas layers: don't shift the data, fix the geometry.
CoRR, 2019

The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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