Improving GANs Using Optimal Transport

International Conference on Learning Representations (ICLR), 2018

15 March 2018

Papers citing "Improving GANs Using Optimal Transport"

50 / 203 papers shown

Title
A Multi-domain Image Translative Diffusion StyleGAN for Iris Presentation Attack Detection Shivangi Yadav Arun Ross 64 0 0 16 Oct 2025
Federated Flow Matching Zifan Wang Anqi Dong Mahmoud Selim Michael M. Zavlanos Karl H. Johansson FedML 188 0 0 25 Sep 2025
Generic Event Boundary Detection via Denoising Diffusion Jaejun Hwang Dayoung Gong Manjin Kim Minsu Cho DiffM 109 0 0 16 Aug 2025
Joint stochastic localization and applications Tom Alberts Yiming Xu Qiang Ye 176 0 0 19 May 2025
Tree-Sliced Wasserstein Distance with Nonlinear Projection T. Tran Viet-Hoang Tran Thanh T. Chu Trang Pham Laurent El Ghaoui Tam Le T. Nguyen 263 5 0 02 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
Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion Sandipan Dhar Md. Tousin Akhter N. D. Jana Swagatam Das 207 1 0 18 Apr 2025
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap Alice Driessen Benedek Harsanyi Marianna Rapsomaniki Jannis Born AI4CE 215 1 0 11 Apr 2025
Bandit Optimal Transport Lorenzo Croissant 248 0 0 11 Feb 2025
All You Need is Resistance: On the Equivalence of Effective Resistance and Certain Optimal Transport Problems on Graphs Sawyer Robertson Zhengchao Wan Alexander Cloninger OT 289 2 0 28 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal TransportKnowledge Discovery and Data Mining (KDD), 2025 Yuqi Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 663 2 0 10 Jan 2025
Auditing and Enforcing Conditional Fairness via Optimal TransportAAAI Conference on Artificial Intelligence (AAAI), 2024 Mohsen Ghassemi Alan Mishler Niccolò Dalmasso Luhao Zhang Vamsi K. Potluru T. Balch Manuela Veloso 230 1 0 17 Oct 2024
Optimal Transport for Probabilistic CircuitsConference on Uncertainty in Artificial Intelligence (UAI), 2024 Adrian Ciotinga YooJung Choi TPM OT 404 1 0 16 Oct 2024
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on PerformanceKnowledge Discovery and Data Mining (KDD), 2024 Thomas Decker Alexander Koebler Michael Lebacher Ingo Thon Volker Tresp Florian Buettner 224 2 0 24 Aug 2024
Plug-in estimation of Schrödinger bridges Aram-Alexandre Pooladian Jonathan Niles-Weed DiffM OT 230 6 0 21 Aug 2024
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation Yuhan Zhu Yuyang Ji Zhiyu Zhao Gangshan Wu Limin Wang VLM 265 22 0 05 Jul 2024
FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm Xiaobao Wu Thong Nguyen Delvin Ce Zhang William Yang Wang Anh Tuan Luu 268 4 0 28 May 2024
A New Robust Partial $p$ -Wasserstein-Based Metric for Comparing DistributionsInternational Conference on Machine Learning (ICML), 2024 S. Raghvendra Pouyan Shirzadian Kaiyi Zhang 281 5 0 06 May 2024
Gaussian-Smoothed Sliced Probability Divergences Mokhtar Z. Alaya A. Rakotomamonjy Maxime Bérar Gilles Gasso 157 0 0 04 Apr 2024
A Sinkhorn-type Algorithm for Constrained Optimal Transport Xun Tang Holakou Rahmanian Michael Shavlovsky K. K. Thekumparampil Tesi Xiao Lexing Ying 135 3 0 08 Mar 2024
Align Your Intents: Offline Imitation Learning via Optimal Transport Maksim Bobrin N. Buzun Dmitrii Krylov Dmitry V. Dylov OffRL 277 7 0 20 Feb 2024
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass EstimationInternational Conference on Learning Representations (ICLR), 2024 Pablo Lemos Sammy N. Sharief Nikolay Malkin Salma Salhi Connor Stone Laurence Perreault Levasseur Y. Hezaveh 414 7 0 06 Feb 2024
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent Benjamin Gess Sebastian Kassing Nimit Rana 172 3 0 02 Feb 2024
Sliced Wasserstein with Random-Path Projecting DirectionsInternational Conference on Machine Learning (ICML), 2024 Khai Nguyen Shujian Zhang Tam Le Nhat Ho OT DiffM 270 16 0 29 Jan 2024
On the Affinity, Rationality, and Diversity of Hierarchical Topic ModelingAAAI Conference on Artificial Intelligence (AAAI), 2024 Xiaobao Wu Fengjun Pan Thong Nguyen Yichao Feng Chaoqun Liu Cong-Duy Nguyen Anh Tuan Luu 339 32 0 25 Jan 2024
Tyche: Stochastic In-Context Learning for Medical Image SegmentationComputer Vision and Pattern Recognition (CVPR), 2024 Marianne Rakic Hallee E. Wong Jose Javier Gonzalez Ortiz Beth Cimini John Guttag Adrian V. Dalca 249 22 0 24 Jan 2024
Accelerating Sinkhorn Algorithm with Sparse Newton IterationsInternational Conference on Learning Representations (ICLR), 2024 Xun Tang Michael Shavlovsky Holakou Rahmanian Elisa Tardini K. K. Thekumparampil Tesi Xiao Lexing Ying OT 154 9 0 20 Jan 2024
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video RecognitionComputer Vision and Pattern Recognition (CVPR), 2023 Tom Tongjia Chen Hongshan Yu Zhengeng Yang Zechuan Li Wei Sun Chen Chen 335 13 0 30 Nov 2023
Structured Transforms Across Spaces with Cost-Regularized Optimal TransportInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Othmane Sebbouh Marco Cuturi Gabriel Peyré OT 287 7 0 09 Nov 2023
Sample Complexity Bounds for Estimating Probability Divergences under InvariancesInternational Conference on Machine Learning (ICML), 2023 B. Tahmasebi Stefanie Jegelka 250 9 0 06 Nov 2023
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch Tim Z. Xiao Johannes Zenn Kushagra Pandey 197 3 0 30 Oct 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
On Unsupervised Image-to-image translation and GAN stability BahaaEddin AlAila Zahra Jandaghi Abolfazl Farahani M. Al-Saad GAN 118 1 0 18 Oct 2023
Sampling via Gradient Flows in the Space of Probability Measures Yifan Chen Daniel Zhengyu Huang Jiaoyang Huang Sebastian Reich Andrew M. Stuart 264 19 0 05 Oct 2023
SE(3)-Stochastic Flow Matching for Protein Backbone GenerationInternational Conference on Learning Representations (ICLR), 2023 A. Bose Tara Akhound-Sadegh Guillaume Huguet Kilian Fatras Jarrid Rector-Brooks Cheng-Hao Liu A. Nica Maksym Korablyov Michael M. Bronstein Alexander Tong DiffM 463 132 0 03 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning Xiao Zhang Michael Maire 362 2 0 30 Sep 2023
Flow Factorized Representation LearningNeural Information Processing Systems (NeurIPS), 2023 Yue Song Thomas Anderson Keller Andrii Zadaianchuk Max Welling DRL OOD 302 5 0 22 Sep 2023
Quasi-Monte Carlo for 3D Sliced WassersteinInternational Conference on Learning Representations (ICLR), 2023 Khai Nguyen Nicola Bariletto Nhat Ho OT 3DPC 241 24 0 21 Sep 2023
Few-Shot Object Detection via Synthetic Features with Optimal TransportComputer Vision and Image Understanding (CVIU), 2023 Anh-Khoa Nguyen Vu Thanh-Toan Do Vinh-Tiep Nguyen Tam Le M. Tran Tam V. Nguyen 254 3 0 29 Aug 2023
Simulation-free Schrödinger bridges via score and flow matchingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Alexander Tong Nikolay Malkin Kilian Fatras Lazar Atanackovic Yanlei Zhang G. Huguet Guy Wolf Yoshua Bengio DiffM OT 288 58 0 07 Jul 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed SourcesNeural Information Processing Systems (NeurIPS), 2023 Feiyang Kang H. Just Anit Kumar Sahu R. Jia 253 15 0 05 Jul 2023
SoK: Privacy-Preserving Data SynthesisIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Yuzheng Hu Fan Wu Yue Liu Yunhui Long Gonzalo Munilla Garrido Chang Ge Bolin Ding David A. Forsyth Yue Liu Basel Alomair 299 48 0 05 Jul 2023
On a Relation Between the Rate-Distortion Function and Optimal Transport Eric Lei Hamed Hassani Shirin Saeedi Bidokhti OT 150 4 0 01 Jul 2023
Effective Neural Topic Modeling with Embedding Clustering RegularizationInternational Conference on Machine Learning (ICML), 2023 Xiaobao Wu Xinshuai Dong Thong Nguyen Anh Tuan Luu BDL 211 66 0 07 Jun 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUsNeural Information Processing Systems (NeurIPS), 2023 Jacob Lindbäck Zesen Wang Mikael Johansson OT 258 2 0 29 May 2023
ComGAN: Toward GANs Exploiting Multiple Samples Hae-Hwan Lee GAN 155 0 0 24 Apr 2023
Ambiguous Medical Image Segmentation using Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023 Aimon Rahman Jeya Maria Jose Valanarasu Ilker Hacihaliloglu V. Patel MedIm DiffM 208 159 0 10 Apr 2023
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport Mukul Bhutani J. Zico Kolter OT AI4TS 131 0 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 407 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