Neural Optimal Transport

28 January 2022

Papers citing "Neural Optimal Transport"

25 / 25 papers shown

Title
Discrete Optimal Transport and Voice Conversion Anton Selitskiy Maitreya Kocharekar OT 75 0 0 07 May 2025
A Physics-preserved Transfer Learning Method for Differential Equations Hao-Ran Yang Chuan-Xian Ren 130 0 0 02 May 2025
Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence Wenzhe Yin Zehao Xiao Pan Zhou Shujian Yu Jiayi Shen J. Sonke E. Gavves 37 0 0 24 Feb 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 44 0 0 04 Oct 2024
Improving Neural Optimal Transport via Displacement Interpolation Jaemoo Choi Yongxin Chen Jaewoong Choi OT 43 0 0 03 Oct 2024
Generative Conditional Distributions by Neural (Entropic) Optimal Transport Bao Nguyen Binh Nguyen Hieu Trung Nguyen Viet Anh Nguyen OT 42 1 0 04 Jun 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport Maksim Bobrin N. Buzun Dmitrii Krylov Dmitry V. Dylov OffRL 41 3 0 20 Feb 2024
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 29 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 37 2 0 02 Oct 2023
Generating Synthetic Datasets by Interpolating along Generalized Geodesics JiaoJiao Fan David Alvarez-Melis 19 10 0 12 Jun 2023
Consistent Optimal Transport with Empirical Conditional Measures Piyushi Manupriya Rachit Keerti Das Sayantan Biswas S. Jagarlapudi OT 26 3 0 25 May 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 23 19 0 24 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 35 4 0 19 May 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 27 1 0 18 Apr 2023
The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda Marco Cuturi OT 50 26 0 09 Feb 2023
Extremal Domain Translation with Neural Optimal Transport Milena Gazdieva Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 23 11 0 30 Jan 2023
Scalable multi-class sampling via filtered sliced optimal transport Corentin Salaün Iliyan Georgiev Hans-Peter Seidel Gurprit Singh 14 21 0 08 Nov 2022
Entropic Neural Optimal Transport via Diffusion Processes Nikita Gushchin Alexander Kolesov Alexander Korotin Dmitry Vetrov Evgeny Burnaev OT DiffM 35 36 0 02 Nov 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
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 35 842 0 07 Sep 2022
Algorithms for Weak Optimal Transport with an Application to Economics Franccois-Pierre Paty Philippe Choné F. Kramarz OT 11 2 0 19 May 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 72 54 0 04 Dec 2021
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 125 100 0 28 Sep 2019
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 178 598 0 22 Sep 2016