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Aram-Alexandre Pooladian
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2020 – today
- 2024
- [c6]Yiheng Jiang, Sinho Chewi, Aram-Alexandre Pooladian:
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space. COLT 2024: 2720-2721 - [i10]Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos:
Neural Optimal Transport with Lagrangian Costs. CoRR abs/2406.00288 (2024) - [i9]Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi:
Progressive Entropic Optimal Transport Solvers. CoRR abs/2406.05061 (2024) - [i8]Aram-Alexandre Pooladian, Jonathan Niles-Weed:
Plug-in estimation of Schrödinger bridges. CoRR abs/2408.11686 (2024) - 2023
- [j2]Carles Domingo-Enrich, Aram-Alexandre Pooladian:
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow. Trans. Mach. Learn. Res. 2023 (2023) - [c5]Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen:
Multisample Flow Matching: Straightening Flows with Minibatch Couplings. ICML 2023: 28100-28127 - [c4]Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed:
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case. ICML 2023: 28128-28150 - [i7]Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen:
Multisample Flow Matching: Straightening Flows with Minibatch Couplings. CoRR abs/2304.14772 (2023) - [i6]Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi:
Learning Costs for Structured Monge Displacements. CoRR abs/2306.11895 (2023) - [i5]Yiheng Jiang, Sinho Chewi, Aram-Alexandre Pooladian:
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space. CoRR abs/2312.02849 (2023) - 2022
- [j1]Tim Hoheisel, Blanca Pablos, Aram-Alexandre Pooladian, Alexandra Schwartz
, Luke Steverango:
A study of one-parameter regularization methods for mathematical programs with vanishing constraints. Optim. Methods Softw. 37(2): 503-545 (2022) - [c3]Aram-Alexandre Pooladian, Marco Cuturi, Jonathan Niles-Weed:
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps. ICML 2022: 17830-17847 - 2020
- [c2]Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman:
A principled approach for generating adversarial images under non-smooth dissimilarity metrics. AISTATS 2020: 1442-1452 - [i4]Chris Finlay, Augusto Gerolin, Adam M. Oberman, Aram-Alexandre Pooladian:
Learning normalizing flows from Entropy-Kantorovich potentials. CoRR abs/2006.06033 (2020)
2010 – 2019
- 2019
- [c1]Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman:
The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information. ICCV 2019: 4861-4869 - [i3]Chris Finlay, Aram-Alexandre Pooladian, Adam M. Oberman:
The LogBarrier adversarial attack: making effective use of decision boundary information. CoRR abs/1903.10396 (2019) - [i2]Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam M. Oberman:
A principled approach for generating adversarial images under non-smooth dissimilarity metrics. CoRR abs/1908.01667 (2019) - [i1]Aram-Alexandre Pooladian, Chris Finlay, Adam M. Oberman:
Farkas layers: don't shift the data, fix the geometry. CoRR abs/1910.02840 (2019)
Coauthor Index
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