Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances

4 June 2013

Papers citing "Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances"

44 / 94 papers shown

Title
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 343 0 0 11 Oct 2024
Calibrating Expressions of Certainty Peiqi Wang Barbara D. Lam Yingcheng Liu Ameneh Asgari-Targhi Yikang Shen W. Wells Tina Kapur Polina Golland 63 1 0 06 Oct 2024
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport Siqi Zeng Sixian Du M. Yamada Han Zhao OT 64 1 0 04 Oct 2024
OW-Rep: Open World Object Detection with Instance Representation Learning Sunoh Lee Minsik Jeon Jihong Min Junwon Seo ObjD 361 0 0 24 Sep 2024
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling Mohammad R. Rezaei Rahul G. Krishnan Milos R. Popovic M. Lankarany DiffM 40 0 0 22 Sep 2024
Partial Distribution Matching via Partial Wasserstein Adversarial Networks Zi-Ming Wang Nan Xue Ling Lei Rebecka Jörnsten Gui-Song Xia OOD 86 0 0 16 Sep 2024
Randomized Transport Plans via Hierarchical Fully Probabilistic Design Sarah Boufelja Anthony Quinn Robert Shorten OT 66 0 0 04 Aug 2024
Importance Corrected Neural JKO Sampling Johannes Hertrich Robert Gruhlke 68 2 0 29 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 90 3 0 27 Jun 2024
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Models Alireza Ganjdanesh Reza Shirkavand Shangqian Gao Heng Huang DiffM VLM 96 4 0 17 Jun 2024
Fine-Grained Domain Generalization with Feature Structuralization Wenlong Yu Dongyue Chen Qilong Wang Qinghua Hu 68 0 0 13 Jun 2024
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior Anming Gu Edward Chien Kristjan Greenewald 58 7 0 11 Jun 2024
Submodular Framework for Structured-Sparse Optimal Transport Piyushi Manupriya Pratik Jawanpuria Karthik S. Gurumoorthy SakethaNath Jagarlapudi Bamdev Mishra OT 118 0 0 07 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 114 0 0 03 Jun 2024
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark Li Lin Santosh Xin Eric Wang Shu Hu Shu Hu EGVM 108 12 0 02 Jun 2024
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging Amartya Banerjee Harlin Lee Nir Sharon Caroline Moosmüller 56 1 0 30 May 2024
Stochastic Learning of Computational Resource Usage as Graph Structured Multimarginal Schrödinger Bridge Georgiy A. Bondar Robert Gifford Linh Thi Xuan Phan Abhishek Halder 57 0 0 21 May 2024
General Place Recognition Survey: Towards Real-World Autonomy Peng Yin Jianhao Jiao Shiqi Zhao Lingyun Xu Guoquan Huang Howie Choset Sebastian A. Scherer Jianda Han 69 7 0 08 May 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OT 86 1 0 18 Mar 2024
What is different between these datasets? Varun Babbar Zhicheng Guo Cynthia Rudin 69 1 0 08 Mar 2024
Imitation-regularized Optimal Transport on Networks: Provable Robustness and Application to Logistics Planning Koshi Oishi Yota Hashizume Tomohiko Jimbo Hirotaka Kaji Kenji Kashima OOD 58 2 0 28 Feb 2024
Functional SDE approximation inspired by a deep operator network architecture Martin Eigel Charles Miranda 36 1 0 05 Feb 2024
Distributional Counterfactual Explanations With Optimal Transport Lei You Lele Cao Mattias Nilsson Bo Zhao Lei Lei OT OffRL 66 1 0 23 Jan 2024
Enhancing selectivity using Wasserstein distance based reweighing Pratik Worah OOD 81 0 0 21 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 62 1 0 05 Jan 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 55 7 0 05 Dec 2023
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm Stephan Eckstein 41 7 0 07 Nov 2023
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries Haitz Sáez de Ocáriz Borde Anastasis Kratsios 103 4 0 23 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 81 6 0 20 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 70 2 0 02 Oct 2023
On Sinkhorn's Algorithm and Choice Modeling Zhaonan Qu Alfred Galichon Johan Ugander Johan Ugander 45 3 0 30 Sep 2023
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel M. Khamlich F. Pichi G. Rozza 46 4 0 26 Aug 2023
Efficient and Accurate Optimal Transport with Mirror Descent and Conjugate Gradients Mete Kemertas Allan D. Jepson Amir-massoud Farahmand OT 62 3 0 17 Jul 2023
Measure transfer via stochastic slicing and matching Shiying Li Caroline Moosmueller 47 3 0 11 Jul 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment Qijie Ding Jie Yin Daokun Zhang Junbin Gao 82 4 0 05 Jul 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 83 10 0 11 Feb 2023
Deep Optimal Transport for Domain Adaptation on SPD Manifolds Ce Ju Cuntai Guan 80 3 0 15 Jan 2022
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 62 37 0 24 Sep 2021
Labelling unlabelled videos from scratch with multi-modal self-supervision Yuki M. Asano Mandela Patrick Christian Rupprecht Andrea Vedaldi SSL 45 152 0 24 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 146 4,032 0 17 Jun 2020
Sinkhorn Divergences for Unbalanced Optimal Transport Thibault Séjourné Jean Feydy Franccois-Xavier Vialard A. Trouvé Gabriel Peyré OT 57 74 0 28 Oct 2019
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition Vincent Dorie J. Hill Uri Shalit M. Scott D. Cervone CML 101 284 0 09 Jul 2017
Parallel Streaming Wasserstein Barycenters Matthew Staib Sebastian Claici Justin Solomon Stefanie Jegelka 27 89 0 21 May 2017
DOTmark - A Benchmark for Discrete Optimal Transport Jörn Schrieber Dominic Schuhmacher C. Gottschlich OT 33 40 0 11 Oct 2016