Large-Scale Optimal Transport and Mapping Estimation

7 November 2017

Papers citing "Large-Scale Optimal Transport and Mapping Estimation"

50 / 51 papers shown

Title
A Physics-preserved Transfer Learning Method for Differential Equations Hao-Ran Yang Chuan-Xian Ren 143 0 0 02 May 2025
Score-Based Diffusion Policy Compatible with Reinforcement Learning via Optimal Transport Mingyang Sun Pengxiang Ding Weinan Zhang Donglin Wang OT 83 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 46 0 0 04 Oct 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OT 43 1 0 18 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 39 4 0 20 Jan 2024
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 34 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 45 2 0 02 Oct 2023
Fitted Value Iteration Methods for Bicausal Optimal Transport Erhan Bayraktar Bingyan Han OT 16 6 0 22 Jun 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 47 15 0 16 Jun 2023
Minimum intrinsic dimension scaling for entropic optimal transport Austin J. Stromme 24 10 0 06 Jun 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 24 4 0 05 Jun 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs Jacob Lindbäck Zesen Wang Mikael Johansson OT 40 1 0 29 May 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 33 19 0 24 May 2023
Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth Costs Alberto González Sanz Shayan Hundrieser OT 34 9 0 16 May 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 32 1 0 18 Apr 2023
Keypoint-Guided Optimal Transport Xiang Gu Yucheng Yang Weizhen Zeng Jian Sun Zongben Xu 39 1 0 23 Mar 2023
Extremal Domain Translation with Neural Optimal Transport Milena Gazdieva Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 25 11 0 30 Jan 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
Entropic Neural Optimal Transport via Diffusion Processes Nikita Gushchin Alexander Kolesov Alexander Korotin Dmitry Vetrov Evgeny Burnaev OT DiffM 37 37 0 02 Nov 2022
InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang Stefanie Jegelka David Alvarez-Melis OT 35 12 0 06 Oct 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 43 845 0 07 Sep 2022
On making optimal transport robust to all outliers Kilian Fatras OT 19 0 0 23 Jun 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 26 22 0 10 Jun 2022
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression Jiacheng Zhu Gregory Darnell Agni Kumar Ding Zhao Bo-wen Li X. Nguyen S. Ren OOD 35 5 0 19 Mar 2022
Stability and upper bounds for statistical estimation of unbalanced transport potentials A. Vacher Franccois-Xavier Vialard OT 30 4 0 17 Mar 2022
An entropic generalization of Caffarelli's contraction theorem via covariance inequalities Sinho Chewi Aram-Alexandre Pooladian 36 36 0 09 Mar 2022
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport Fang Wu Nicolas Courty Shuting Jin Stan Z. Li OOD OT 21 8 0 13 Feb 2022
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 29 24 0 28 Jan 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 72 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
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Estimation of Stationary Optimal Transport Plans Kevin O'Connor K. Mcgoff A. Nobel OT 22 3 0 25 Jul 2021
Large-scale optimal transport map estimation using projection pursuit Cheng Meng Y. Ke Jingyi Zhang Mengrui Zhang Wenxuan Zhong Ping Ma OT 15 38 0 09 Jun 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 41 66 0 15 Feb 2021
Minibatch optimal transport distances; analysis and applications Kilian Fatras Younes Zine Szymon Majewski Rémi Flamary Rémi Gribonval Nicolas Courty OT 66 53 0 05 Jan 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 95 0 10 Dec 2020
Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks Edmond Lezmi Jules Roche T. Roncalli Jiali Xu 26 6 0 09 Jul 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 39 56 0 08 Jul 2020
Quantum Wasserstein Generative Adversarial Networks Shouvanik Chakrabarti Yiming Huang Tongyang Li S. Feizi Xiaodi Wu GNN GAN 19 84 0 31 Oct 2019
Learning transport cost from subset correspondence Ruishan Liu Akshay Balsubramani James Zou OT 24 14 0 29 Sep 2019
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 128 100 0 28 Sep 2019
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment Alex Gabourie Mohammad Rostami Phillip E. Pope Soheil Kolouri Kyungnam Kim OOD 16 22 0 04 Jul 2019
A gradual, semi-discrete approach to generative network training via explicit Wasserstein minimization Yucheng Chen Matus Telgarsky Chao Zhang Bolton Bailey Daniel J. Hsu Jian-wei Peng GAN OT 16 17 0 08 Jun 2019
Solving graph compression via optimal transport Vikas K. Garg Tommi Jaakkola OT 18 16 0 29 May 2019
Minimax estimation of smooth optimal transport maps Jan-Christian Hütter Philippe Rigollet OT 26 28 0 14 May 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport Yujia Xie Minshuo Chen Haoming Jiang T. Zhao H. Zha OT 11 42 0 01 May 2019
2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs Amirhossein Taghvaei Amin Jalali 33 42 0 19 Feb 2019
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs Yogesh Balaji Hamed Hassani Rama Chellappa S. Feizi GAN DRL 41 20 0 09 Oct 2018
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images B. Damodaran Rémi Flamary Vivien Seguy Nicolas Courty NoLa 26 39 0 02 Oct 2018
Computation of optimal transport and related hedging problems via penalization and neural networks Stephan Eckstein Michael Kupper OT 31 49 0 23 Feb 2018