Optimal transport mapping via input convex neural networks

28 August 2019

Ashok Vardhan Makkuva

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

50 / 68 papers shown

Title
Gradient Networks Shreyas Chaudhari Srinivasa Pranav J. M. F. Moura 74 0 0 28 Jan 2025
Fast and scalable Wasserstein-1 neural optimal transport solver for single-cell perturbation prediction Yanshuo Chen Zhengmian Hu Wei Chen Heng Huang OT 60 2 0 01 Nov 2024
Deep Generative Quantile Bayes Jungeum Kim Percy S. Zhai Veronika Rockova 53 0 0 10 Oct 2024
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 64 0 0 04 Oct 2024
Improving Neural Optimal Transport via Displacement Interpolation Jaemoo Choi Yongxin Chen Jaewoong Choi OT 57 0 0 03 Oct 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 63 9 0 26 Aug 2024
Generative Conditional Distributions by Neural (Entropic) Optimal Transport Bao Nguyen Binh Nguyen Hieu Trung Nguyen Viet Anh Nguyen OT 62 1 0 04 Jun 2024
On a Neural Implementation of Brenier's Polar Factorization Nina Vesseron Marco Cuturi 56 2 0 05 Mar 2024
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations Xun Tang Michael Shavlovsky Holakou Rahmanian Elisa Tardini K. K. Thekumparampil Tesi Xiao Lexing Ying OT 41 4 0 20 Jan 2024
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 36 11 0 22 Oct 2023
Nonlinear Filtering with Brenier Optimal Transport Maps Mohammad Al-Jarrah Niyizhen Jin Bamdad Hosseini Amirhossein Taghvaei 39 2 0 21 Oct 2023
A Computational Framework for Solving Wasserstein Lagrangian Flows Kirill Neklyudov Rob Brekelmans Alexander Tong Lazar Atanackovic Qiang Liu Alireza Makhzani OT 49 21 0 16 Oct 2023
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 48 4 0 02 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 54 2 0 02 Oct 2023
Decorrelation using Optimal Transport M. Algren J. A. Raine T. Golling OT 36 1 0 11 Jul 2023
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark Nikita Gushchin Alexander Kolesov Petr Mokrov Polina Karpikova A. Spiridonov Evgeny Burnaev Alexander Korotin OT DiffM 65 15 0 16 Jun 2023
Generating Synthetic Datasets by Interpolating along Generalized Geodesics JiaoJiao Fan David Alvarez-Melis 36 10 0 12 Jun 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models Z. Y. Wan Ricardo Baptista Yi-fan Chen John R. Anderson Anudhyan Boral Fei Sha Leonardo Zepeda-Núñez DiffM 52 24 0 24 May 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 46 19 0 24 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 47 4 0 19 May 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 37 1 0 18 Apr 2023
Keypoint-Guided Optimal Transport Xiang Gu Yucheng Yang Weizhen Zeng Jian Sun Zongben Xu 51 1 0 23 Mar 2023
Light Unbalanced Optimal Transport Milena Gazdieva Arip Asadulaev Alexander Korotin Evgeny Burnaev OT 36 1 0 14 Mar 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem Xavier Aramayo Carrasco Maksim Nekrashevich Petr Mokrov Evgeny Burnaev Alexander Korotin OT 51 5 0 10 Mar 2023
The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda Marco Cuturi OT 55 27 0 09 Feb 2023
Robust Estimation under the Wasserstein Distance Sloan Nietert Rachel Cummings Ziv Goldfeld 41 4 0 02 Feb 2023
Stochastic optimal transport in Banach Spaces for regularized estimation of multivariate quantiles Bernard Bercu Jérémie Bigot Gauthier Thurin 44 2 0 02 Feb 2023
Extremal Domain Translation with Neural Optimal Transport Milena Gazdieva Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 45 11 0 30 Jan 2023
Learning Gradients of Convex Functions with Monotone Gradient Networks Shreyas Chaudhari Srinivasa Pranav J. M. F. Moura 19 6 0 25 Jan 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 43 4 0 13 Dec 2022
Optimal transport map estimation in general function spaces Vincent Divol Jonathan Niles-Weed Aram-Alexandre Pooladian OT 45 22 0 07 Dec 2022
CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks Xuan Rao Bo Zhao Xiaosong Yi 77 4 0 11 Nov 2022
Entropic Neural Optimal Transport via Diffusion Processes Nikita Gushchin Alexander Kolesov Alexander Korotin Dmitry Vetrov Evgeny Burnaev OT DiffM 47 37 0 02 Nov 2022
A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications Tristan Milne Étienne Bilocq A. Nachman OT 29 3 0 02 Nov 2022
On amortizing convex conjugates for optimal transport Brandon Amos OT 81 27 0 21 Oct 2022
Towards Explaining Distribution Shifts Sean Kulinski David I. Inouye OffRL FAtt 47 25 0 19 Oct 2022
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 56 51 0 04 Oct 2022
Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows G. Morel Lucas Drumetz Simon Benaïchouche Nicolas Courty F. Rousseau OT 35 6 0 22 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 63 871 0 07 Sep 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 45 22 0 10 Jun 2022
Dual Convexified Convolutional Neural Networks Site Bai Chuyang Ke Jean Honorio 29 1 0 27 May 2022
Learning with Stochastic Orders Carles Domingo-Enrich Yair Schiff Youssef Mroueh 41 2 0 27 May 2022
Nonparametric Multiple-Output Center-Outward Quantile Regression E. del Barrio Alberto González Sanz Marc Hallin 32 28 0 25 Apr 2022
An Optimal Transport Formulation of Bayes' Law for Nonlinear Filtering Algorithms Amirhossein Taghvaei Bamdad Hosseini OT 41 17 0 22 Mar 2022
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression Jiacheng Zhu Gregory Darnell Agni Kumar Ding Zhao Yue Liu X. Nguyen S. Ren OOD 53 5 0 19 Mar 2022
Multivariate Quantile Function Forecaster Kelvin K. Kan Franccois-Xavier Aubet Tim Januschowski Youngsuk Park Konstantinos Benidis Lars Ruthotto Jan Gasthaus AI4TS 41 22 0 23 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 44 0 01 Feb 2022
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 47 24 0 28 Jan 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 82 54 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