Optimal transport mapping via input convex neural networks

28 August 2019

Ashok Vardhan Makkuva

Papers citing "Optimal transport mapping via input convex neural networks"

20 / 70 papers shown

Title
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 82 55 0 04 Dec 2021
Near-optimal estimation of smooth transport maps with kernel sums-of-squares Boris Muzellec A. Vacher Francis R. Bach Franccois-Xavier Vialard Alessandro Rudi OT 32 20 0 03 Dec 2021
Joint inference and input optimization in equilibrium networks Swaminathan Gurumurthy Shaojie Bai Zachary Manchester J. Zico Kolter 52 19 0 25 Nov 2021
Input Convex Gradient Networks Jack Richter-Powell Jonathan Lorraine Brandon Amos 19 15 0 23 Nov 2021
Learning PSD-valued functions using kernel sums-of-squares Boris Muzellec Francis R. Bach Alessandro Rudi 11 8 0 22 Nov 2021
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis Sloan Nietert Rachel Cummings Ziv Goldfeld OT 31 26 0 02 Nov 2021
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 140 65 0 06 Oct 2021
Reversible Gromov-Monge Sampler for Simulation-Based Inference Y. Hur Wenxuan Guo Tengyuan Liang 38 9 0 28 Sep 2021
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences William Torous F. Gunsilius Philippe Rigollet OT 60 15 0 12 Aug 2021
Plugin Estimation of Smooth Optimal Transport Maps Tudor Manole Sivaraman Balakrishnan Jonathan Niles-Weed Larry A. Wasserman OT 33 92 0 26 Jul 2021
Riemannian Convex Potential Maps Samuel N. Cohen Brandon Amos Y. Lipman 25 22 0 18 Jun 2021
Proximal Optimal Transport Modeling of Population Dynamics Charlotte Bunne Laetitia Meng-Papaxanthos Andreas Krause Marco Cuturi OT 51 83 0 11 Jun 2021
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis Yair Schiff Youssef Mroueh 49 53 0 01 Jun 2021
Large-Scale Wasserstein Gradient Flows Petr Mokrov Alexander Korotin Lingxiao Li Aude Genevay Justin Solomon Evgeny Burnaev 39 72 0 01 Jun 2021
Low-Rank Sinkhorn Factorization M. Scetbon Marco Cuturi Gabriel Peyré 31 59 0 08 Mar 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization Alexander Korotin Lingxiao Li Justin Solomon Evgeny Burnaev 33 48 0 02 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 119 96 0 10 Dec 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 42 57 0 08 Jul 2020
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin Evgeny Burnaev GAN 131 101 0 28 Sep 2019
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 605 0 22 Sep 2016