Papers citing 'Wasserstein-2 Generative Networks'

Title
Physics-Informed Design of Input Convex Neural Networks for Consistency Optimal Transport Flow Matching Fanghui Song Zhongjian Wang Jiebao Sun 80 0 0 08 Nov 2025
Expert or not? assessing data quality in offline reinforcement learning Arip Asadulaev Fakhri Karray Martin Takáč OffRL 60 0 0 14 Oct 2025
Neural Hamilton--Jacobi Characteristic Flows for Optimal Transport Yesom Park Shu Liu Mo Zhou Stanley Osher OT 164 0 0 30 Sep 2025
Neural Optimal Transport Meets Multivariate Conformal Prediction Vladimir Kondratyev Alexander Fishkov Nikita Kotelevskii Mahmoud Hegazy Remi Flamary Maxim Panov Eric Moulines 124 0 0 29 Sep 2025
What is a good matching of probability measures? A counterfactual lens on transport maps Lucas De Lara Luca Ganassali 124 0 0 19 Sep 2025
Constrained Sliced Wasserstein Embedding Navid Naderializadeh Darian Salehi Hengrong Du Soheil Kolouri 152 4 0 02 Jun 2025
ReinFlow: Fine-tuning Flow Matching Policy with Online Reinforcement Learning Tonghe Zhang Chao Yu Sichang Su Yu Wang 445 9 0 28 May 2025
Input Convex Kolmogorov Arnold Networks Thomas Deschatre Xavier Warin 187 1 0 27 May 2025
Embedding Empirical Distributions for Computing Optimal Transport MapsInternational Symposium on Information Theory (ISIT), 2025 Mingchen Jiang Peng Xu Xichen Ye Xiaohui Chen Yun Yang Yifan Chen OT 272 1 0 24 Apr 2025
GMapLatent: Geometric Mapping in Latent Space Wei Zeng Xuebin Chang Jianghao Su X. Gu Jian Sun Zongben Xu 205 1 0 30 Mar 2025
Sample and Map from a Single Convex Potential: Generation using Conjugate Moment Measures Nina Vesseron Louis Béthune Marco Cuturi 291 2 0 13 Mar 2025
Non-geodesically-convex optimization in the Wasserstein spaceNeural Information Processing Systems (NeurIPS), 2024 Hoang Phuc Hau Luu Hanlin Yu Bernardo Williams Petrus Mikkola Marcelo Hartmann Kai Puolamaki Arto Klami 297 3 0 08 Jan 2025
A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equations Shu Liu Stanley Osher Wuchen Li 233 3 0 09 Nov 2024
Optimal Transport Maps are Good Voice Converters Arip Asadulaev Rostislav Korst V. Shutov Alexander Korotin Yaroslav Grebnyak Vahe Egiazarian Evgeny Burnaev OT 222 5 0 17 Oct 2024
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal TransportInternational Conference on Learning Representations (ICLR), 2024 Milena Gazdieva Jaemoo Choi Alexander Kolesov Jaewoong Choi Petr Mokrov Alexander Korotin OT 359 5 0 04 Oct 2024
Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces Athina Sotiropoulou David Alvarez-Melis OT 190 2 0 20 Jul 2024
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights Zeqin Yang Weilin Chen Ruichu Cai Yuguang Yan Zhifeng Hao Zhipeng Yu Zhichao Zou Jixing Xu Zhen Peng Jiecheng Guo 306 3 0 27 Jun 2024
Differentiable Cost-Parameterized Monge Map Estimators Samuel Howard George Deligiannidis Patrick Rebeschini James Thornton OT 226 1 0 12 Jun 2024
Neural Optimal Transport with Lagrangian Costs Aram-Alexandre Pooladian Carles Domingo-Enrich Ricky T. Q. Chen Brandon Amos OT 316 19 0 01 Jun 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step Nikita Kornilov Petr Mokrov Alexander Gasnikov Alexander Korotin 189 32 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 284 5 0 06 Mar 2024
On a Neural Implementation of Brenier's Polar Factorization Nina Vesseron Marco Cuturi 393 2 0 05 Mar 2024
Analysis of Kernel Mirror Prox for Measure Optimization Pavel Dvurechensky Jia Jie Zhu 324 5 0 29 Feb 2024
Estimating Barycenters of Distributions with Neural Optimal TransportInternational Conference on Machine Learning (ICML), 2024 Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Evgeny Burnaev Alexander Korotin OT 272 10 0 06 Feb 2024
Unsupervised Solution Operator Learning for Mean-Field Games via Sampling-Invariant Parametrizations Han Huang Rongjie Lai 259 2 0 27 Jan 2024
Point Cloud Classification via Deep Set Linearized Optimal Transport Scott Mahan Caroline Moosmüller A. Cloninger 3DPC OT 119 1 0 02 Jan 2024
Unbalancedness in Neural Monge Maps Improves Unpaired Domain TranslationInternational Conference on Learning Representations (ICLR), 2023 L. Eyring Dominik Klein Théo Uscidda Giovanni Palla Niki Kilbertus Zeynep Akata Fabian J. Theis OT 220 23 0 25 Nov 2023
Monotone Generative Modeling via a Gromov-Monge EmbeddingSIAM Journal on Mathematics of Data Science (SIMODS), 2023 Wonjun Lee Yifei Yang Dongmian Zou Gilad Lerman GAN 313 2 0 02 Nov 2023
A Specialized Semismooth Newton Method for Kernel-Based Optimal TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Tianyi Lin Marco Cuturi Michael I. Jordan OT 265 1 0 21 Oct 2023
Entropic (Gromov) Wasserstein Flow Matching with GENOT Dominik Klein Théo Uscidda Fabian J. Theis Marco Cuturi OT 290 2 0 13 Oct 2023
Light Schrödinger BridgeInternational Conference on Learning Representations (ICLR), 2023 Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 364 13 0 02 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General CostsNeural Information Processing Systems (NeurIPS), 2023 Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 554 3 0 02 Oct 2023
Wasserstein Geodesic Generator for Conditional Distributions Young-geun Kim Kyungbok Lee Youngwon Choi Joong-Ho Won M. Paik 355 4 0 20 Aug 2023
Conditional Perceptual Quality Preserving Image Compression Tongda Xu Qian Zhang Yanghao Li Dailan He Zhe Wang Yuanyuan Wang Hongwei Qin Yan Wang Jingjing Liu Ya-Qin Zhang 172 8 0 16 Aug 2023
Vector Quantile Regression on ManifoldsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Marco Pegoraro S. Vedula Aviv A. Rosenberg Irene Tallini Emanuele Rodolà A. Bronstein 274 2 0 03 Jul 2023
Recent Advances in Optimal Transport for Machine LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 209 66 0 28 Jun 2023
Learning Elastic Costs to Shape Monge DisplacementsNeural Information Processing Systems (NeurIPS), 2023 Stephen Zhang Aram-Alexandre Pooladian Pierre Ablin Eugène Ndiaye Jonathan Niles-Weed Marco Cuturi 190 6 0 20 Jun 2023
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport BenchmarkNeural Information Processing Systems (NeurIPS), 2023 Nikita Gushchin Alexander Kolesov Petr Mokrov Polina Karpikova A. Spiridonov Evgeny Burnaev Alexander Korotin OT DiffM 347 18 0 16 Jun 2023
Training generative models from privatized dataIEEE Journal on Selected Areas in Information Theory (JSAIT), 2023 Daria Reshetova Wei-Ning Chen Ayfer Özgür FedML 197 5 0 15 Jun 2023
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image RestorationNeural Information Processing Systems (NeurIPS), 2023 Theo Adrai Guy Ohayon T. Michaeli Michael Elad DiffM 152 15 0 04 Jun 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2023 Z. Y. Wan Ricardo Baptista Yi-fan Chen John R. Anderson Anudhyan Boral Fei Sha Leonardo Zepeda-Núñez DiffM 189 31 0 24 May 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal TransportNeural Information Processing Systems (NeurIPS), 2023 Jaemoo Choi Jaewoong Choi Myung-joo Kang OT 577 27 0 24 May 2023
Computing high-dimensional optimal transport by flow neural networksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Chen Xu Xiuyuan Cheng Yao Xie OT 557 7 0 19 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 395 29 0 08 May 2023
Energy-guided Entropic Neural Optimal TransportInternational Conference on Learning Representations (ICLR), 2023 Petr Mokrov Alexander Korotin Alexander Kolesov Nikita Gushchin Evgeny Burnaev OT 506 27 0 12 Apr 2023
Keypoint-Guided Optimal Transport Xiang Gu Yucheng Yang Weizhen Zeng Jian Sun Zongben Xu 179 1 0 23 Mar 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem Xavier Aramayo Carrasco Maksim Nekrashevich Petr Mokrov Evgeny Burnaev Alexander Korotin OT 387 7 0 10 Mar 2023
The Monge Gap: A Regularizer to Learn All Transport MapsInternational Conference on Machine Learning (ICML), 2023 Théo Uscidda Marco Cuturi OT 179 34 0 09 Feb 2023
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse MapsInternational Conference on Machine Learning (ICML), 2023 Marco Cuturi Stephen Zhang Pierre Ablin OT 198 18 0 08 Feb 2023
Stochastic optimal transport in Banach Spaces for regularized estimation of multivariate quantilesSIAM Journal on Mathematics of Data Science (SIMODS), 2023 Bernard Bercu Jérémie Bigot Gauthier Thurin 416 2 0 02 Feb 2023