Learning normalizing flows from Entropy-Kantorovich potentials

10 June 2020

Chris Finlay

Augusto Gerolin

Adam M. Oberman

Aram-Alexandre Pooladian

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Papers citing "Learning normalizing flows from Entropy-Kantorovich potentials"

21 / 21 papers shown

Title
Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Rafał Karczewski Markus Heinonen Vikas K. Garg DiffM 44 0 0 09 Feb 2025
Scalable Simulation-free Entropic Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi OT 23 0 0 03 Oct 2024
Plug-in estimation of Schrödinger bridges Aram-Alexandre Pooladian Jonathan Niles-Weed DiffM OT 46 1 0 21 Aug 2024
Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian Carles Domingo-Enrich Ricky T. Q. Chen Brandon Amos OT 40 15 0 01 Jun 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 29 7 0 05 Dec 2023
Normalizing flows as approximations of optimal transport maps via linear-control neural ODEs A. Scagliotti Sara Farinelli 23 3 0 02 Nov 2023
Nearly Minimax Optimal Wasserstein Conditional Independence Testing Matey Neykov Larry A. Wasserman Ilmun Kim Sivaraman Balakrishnan 16 1 0 16 Aug 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings Aram-Alexandre Pooladian Heli Ben-Hamu Carles Domingo-Enrich Brandon Amos Y. Lipman Ricky T. Q. Chen 60 126 0 28 Apr 2023
Energy-guided Entropic Neural Optimal Transport Petr Mokrov Alexander Korotin Alexander Kolesov Nikita Gushchin Evgeny Burnaev OT 49 21 0 12 Apr 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 56 65 0 29 Mar 2023
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case Aram-Alexandre Pooladian Vincent Divol Jonathan Niles-Weed OT 25 20 0 26 Jan 2023
Optimal transport map estimation in general function spaces Vincent Divol Jonathan Niles-Weed Aram-Alexandre Pooladian OT 38 22 0 07 Dec 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 28 6 0 22 Sep 2022
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps Aram-Alexandre Pooladian Marco Cuturi Jonathan Niles-Weed OT 29 16 0 17 Feb 2022
Entropic estimation of optimal transport maps Aram-Alexandre Pooladian Jonathan Niles-Weed OT 82 105 0 24 Sep 2021
Plugin Estimation of Smooth Optimal Transport Maps Tudor Manole Sivaraman Balakrishnan Jonathan Niles-Weed Larry A. Wasserman OT 23 92 0 26 Jul 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 30 428 0 01 Jun 2021
Learning High Dimensional Wasserstein Geodesics Shu Liu Shaojun Ma Yongxin Chen H. Zha Haomin Zhou 17 8 0 05 Feb 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 117 95 0 10 Dec 2020
Sliced Iterative Normalizing Flows B. Dai U. Seljak 6 36 0 01 Jul 2020
Stable Neural Flows Stefano Massaroli Michael Poli Michelangelo Bin Jinkyoo Park Atsushi Yamashita Hajime Asama 43 30 0 18 Mar 2020