Generative Modeling with Optimal Transport Maps

6 October 2021

Papers citing "Generative Modeling with Optimal Transport Maps"

50 / 57 papers shown

Title
Your contrastive learning problem is secretly a distribution alignment problem Zihao Chen Chi-Heng Lin Ran Liu Jingyun Xiao Eva L. Dyer 75 1 0 27 Feb 2025
Mean and Variance Estimation Complexity in Arbitrary Distributions via Wasserstein Minimization Valentio Iverson Stephen Vavasis 68 0 0 20 Jan 2025
Enhancing Path Planning Performance through Image Representation Learning of High-Dimensional Configuration Spaces Jorge Ocampo Jimenez Wael Suleiman 52 0 0 11 Jan 2025
Sum-of-Squares Programming for Ma-Trudinger-Wang Regularity of Optimal Transport Maps Sachin Shivakumar Georgiy A. Bondar Gabriel Khan Abhishek Halder OT 100 0 0 17 Dec 2024
Hamiltonian bridge: A physics-driven generative framework for targeted pattern control Vishaal Krishnan Sumit Sinha L. Mahadevan AI4CE 35 1 0 16 Oct 2024
Optimal Transport for Probabilistic Circuits Adrian Ciotinga YooJung Choi TPM OT 54 0 0 16 Oct 2024
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 58 0 0 04 Oct 2024
Unsupervised Point Cloud Completion through Unbalanced Optimal Transport Taekyung Lee Jaemoo Choi Jaewoong Choi Myungjoo Kang OT 3DPC 41 0 0 03 Oct 2024
Scalable Simulation-free Entropic Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi OT 48 1 0 03 Oct 2024
Improving Neural Optimal Transport via Displacement Interpolation Jaemoo Choi Yongxin Chen Jaewoong Choi OT 57 0 0 03 Oct 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance Thomas Decker Alexander Koebler Michael Lebacher Ingo Thon Volker Tresp Florian Buettner 48 1 0 24 Aug 2024
COT Flow: Learning Optimal-Transport Image Sampling and Editing by Contrastive Pairs Xinrui Zu Qian Tao OT DiffM 38 0 0 17 Jun 2024
Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian Carles Domingo-Enrich Ricky T. Q. Chen Brandon Amos OT 57 15 0 01 Jun 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step Nikita Kornilov Petr Mokrov Alexander Gasnikov Alexander Korotin 44 12 0 19 Mar 2024
ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport N. Buzun Maksim Bobrin Dmitry V. Dylov OT OOD 31 2 0 06 Mar 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport Maksim Bobrin N. Buzun Dmitrii Krylov Dmitry V. Dylov OffRL 56 3 0 20 Feb 2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport Jaemoo Choi Jaewoong Choi Myungjoo Kang 53 6 0 08 Feb 2024
Estimating Barycenters of Distributions with Neural Optimal Transport Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Evgeny Burnaev Alexander Korotin OT 43 5 0 06 Feb 2024
Efficient approximation of Earth Mover's Distance Based on Nearest Neighbor Search Guangyu Meng Ruyu Zhou Liu Liu Peixian Liang Fang Liu Danny Chen Michael Niemier X.Sharon Hu 41 0 0 14 Jan 2024
Conditional Optimal Transport on Function Spaces Bamdad Hosseini Alexander W. Hsu Amirhossein Taghvaei OT 50 14 0 09 Nov 2023
Normalizing flows as approximations of optimal transport maps via linear-control neural ODEs A. Scagliotti Sara Farinelli 43 3 0 02 Nov 2023
Monotone Generative Modeling via a Gromov-Monge Embedding Wonjun Lee Yifei Yang Dongmian Zou Gilad Lerman GAN 47 2 0 02 Nov 2023
Optimal Transport-Guided Conditional Score-Based Diffusion Models Xiang Gu Liwei Yang Jian Sun Zongben Xu DiffM OT 44 9 0 02 Nov 2023
Nonlinear Filtering with Brenier Optimal Transport Maps Mohammad Al-Jarrah Niyizhen Jin Bamdad Hosseini Amirhossein Taghvaei 39 2 0 21 Oct 2023
Analyzing and Improving Optimal-Transport-based Adversarial Networks Jaemoo Choi Jaewoong Choi Myungjoo Kang OT 42 4 0 04 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
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
OT-Net: A Reusable Neural Optimal Transport Solver Zezeng Li Shenghao Li Lianbao Jin Na Lei Zhongxuan Luo OT 38 4 0 14 Jun 2023
Generating Synthetic Datasets by Interpolating along Generalized Geodesics JiaoJiao Fan David Alvarez-Melis 29 10 0 12 Jun 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 37 4 0 05 Jun 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
Generative modeling of time-dependent densities via optimal transport and projection pursuit Jonah Botvinick-Greenhouse Yunan Yang R. Maulik OT 16 3 0 19 Apr 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
Energy-guided Entropic Neural Optimal Transport Petr Mokrov Alexander Korotin Alexander Kolesov Nikita Gushchin Evgeny Burnaev OT 64 21 0 12 Apr 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 48 5 0 10 Mar 2023
Extremal Domain Translation with Neural Optimal Transport Milena Gazdieva Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 42 11 0 30 Jan 2023
Normalizing flow neural networks by JKO scheme Chen Xu Xiuyuan Cheng Yao Xie 41 25 0 29 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 43 7 0 22 Dec 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
On amortizing convex conjugates for optimal transport Brandon Amos OT 81 27 0 21 Oct 2022
Neural Conservation Laws: A Divergence-Free Perspective Jack Richter-Powell Y. Lipman Ricky T. Q. Chen 56 51 0 04 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 38 20 0 27 Sep 2022
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow Xingchao Liu Chengyue Gong Qiang Liu OOD 63 868 0 07 Sep 2022
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? Alexander Korotin Alexander Kolesov Evgeny Burnaev OT 39 26 0 15 Jun 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 45 22 0 10 Jun 2022
Neural Optimal Transport with General Cost Functionals Arip Asadulaev Alexander Korotin Vage Egiazarian Petr Mokrov Evgeny Burnaev OT 88 33 0 30 May 2022
An Optimal Transport Perspective on Unpaired Image Super-Resolution Milena Gazdieva Litu Rout Alexander Korotin A. Kravchenko Alexander N. Filippov Evgeny Burnaev OT 48 11 0 02 Feb 2022
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 47 24 0 28 Jan 2022