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Learning Generative Models with Sinkhorn Divergences

1 June 2017

Papers citing "Learning Generative Models with Sinkhorn Divergences"

50 / 382 papers shown

Title
Domain Adaptation for Time Series Under Feature and Label Shifts Huan He Owen Queen Teddy Koker Consuelo Cuevas Theodoros Tsiligkaridis Marinka Zitnik AI4TS 112 72 0 06 Feb 2023
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 144 308 0 01 Feb 2023
Self-Consistent Velocity Matching of Probability Flows Lingxiao Li Samuel Hurault Justin Solomon 108 15 0 31 Jan 2023
Extremal Domain Translation with Neural Optimal Transport Milena Gazdieva Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 78 12 0 30 Jan 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 131 15 0 27 Jan 2023
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case Aram-Alexandre Pooladian Vincent Divol Jonathan Niles-Weed OT 79 21 0 26 Jan 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction Khai Nguyen Dang Nguyen N. Ho 80 9 0 12 Jan 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections Khai Nguyen Zhaolin Ren Nhat Ho 82 8 0 10 Jan 2023
Optimal transport map estimation in general function spaces Vincent Divol Jonathan Niles-Weed Aram-Alexandre Pooladian OT 94 24 0 07 Dec 2022
Estimating Regression Predictive Distributions with Sample Networks Ali Harakeh Jordan S. K. Hu Naiqing Guan Steven L. Waslander Liam Paull BDL UQCV 46 4 0 24 Nov 2022
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes Marin Ballu Quentin Berthet 114 8 0 18 Nov 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 104 49 0 16 Nov 2022
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data Hyemin Gu Panagiota Birmpa Yannis Pantazis Luc Rey-Bellet Markos A. Katsoulakis 103 2 0 31 Oct 2022
Minimum Kernel Discrepancy Estimators Chris J. Oates 73 10 0 28 Oct 2022
Budget-Constrained Bounds for Mini-Batch Estimation of Optimal Transport David Alvarez-Melis Nicolò Fusi Lester W. Mackey Tal Wagner OT 103 1 0 24 Oct 2022
Partial Identification of Treatment Effects with Implicit Generative Models Vahid Balazadeh Meresht Vasilis Syrgkanis Rahul G. Krishnan CML 80 19 0 14 Oct 2022
On the potential benefits of entropic regularization for smoothing Wasserstein estimators Jérémie Bigot Paul Freulon B. Hejblum Arthur Leclaire OT 64 2 0 13 Oct 2022
Gaussian Processes on Distributions based on Regularized Optimal Transport François Bachoc Louis Bethune Alberto González Sanz Jean-Michel Loubes GP OT 66 8 0 12 Oct 2022
VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment Shraman Pramanick Li Jing Sayan Nag Jiachen Zhu Hardik Shah Yann LeCun Ramalingam Chellappa 82 22 0 09 Oct 2022
Improving Generative Flow Networks with Path Regularization A. Do Duy-Tung Dinh T. Nguyen Khuong N. Nguyen Stanley Osher Nhat Ho AI4CE 72 4 0 29 Sep 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Zhaolin Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 89 22 0 27 Sep 2022
Wasserstein $K$ -means for clustering probability distributions Yubo Zhuang Xiaohui Chen Yun Yang 88 25 0 14 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences S. Roy Yan Han Mehrtash Harandi L. Petersson 72 0 0 14 Sep 2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions Zhenyi Wang Li Shen Le Fang Qiuling Suo Dongling Zhan Tiehang Duan Mingchen Gao OOD CLL 66 16 0 03 Sep 2022
Discovering Conservation Laws using Optimal Transport and Manifold Learning Peter Y. Lu Rumen Dangovski M. Soljavcić 82 18 0 31 Aug 2022
Multiview Regenerative Morphing with Dual Flows Chih-Jung Tsai Cheng Sun Hwann-Tzong Chen 3DH 55 1 0 02 Aug 2022
The derivatives of Sinkhorn-Knopp converge Edouard Pauwels Samuel Vaiter 79 6 0 26 Jul 2022
Weak limits of entropy regularized Optimal Transport; potentials, plans and divergences Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 50 23 0 15 Jul 2022
Transferability-Guided Cross-Domain Cross-Task Transfer Learning Yang Tan Enming Zhang Yang Li Shao-Lun Huang Xiaoping Zhang OT 118 12 0 12 Jul 2022
Multisymplectic Formulation of Deep Learning Using Mean--Field Type Control and Nonlinear Stability of Training Algorithm Nader Ganaba 63 0 0 07 Jul 2022
Diffeomorphic Registration using Sinkhorn Divergences Lucas de Lara Alberto González Sanz Jean-Michel Loubes FedML 80 9 0 28 Jun 2022
On Certifying and Improving Generalization to Unseen Domains Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm OOD 106 4 0 24 Jun 2022
Approximating 1-Wasserstein Distance with Trees M. Yamada Yuki Takezawa Ryoma Sato Hang Bao Zornitsa Kozareva Sujith Ravi 121 9 0 24 Jun 2022
On making optimal transport robust to all outliers Kilian Fatras OT 60 0 0 23 Jun 2022
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation Kilian Fatras Hiroki Naganuma Ioannis Mitliagkas OOD 49 6 0 22 Jun 2022
Rethinking Initialization of the Sinkhorn Algorithm James Thornton Marco Cuturi OT 90 12 0 15 Jun 2022
Loss Functions for Classification using Structured Entropy B. Lucena 40 3 0 14 Jun 2022
Asymptotics of smoothed Wasserstein distances in the small noise regime Yunzi Ding Jonathan Niles-Weed OT 71 2 0 13 Jun 2022
Meta Optimal Transport Brandon Amos Samuel N. Cohen Giulia Luise I. Redko OT 109 24 0 10 Jun 2022
Causality Learning With Wasserstein Generative Adversarial Networks H. Petkov Colin Hanley Feng Dong CML GAN OOD 27 0 0 03 Jun 2022
Distributional Convergence of the Sliced Wasserstein Process Jiaqi Xi Jonathan Niles-Weed 57 7 0 01 Jun 2022
Hilbert Curve Projection Distance for Distribution Comparison Tao Li Cheng Meng Hongteng Xu Jun Yu 106 14 0 30 May 2022
Low-rank Optimal Transport: Approximation, Statistics and Debiasing M. Scetbon Marco Cuturi OT 86 16 0 24 May 2022
Time-series Transformer Generative Adversarial Networks Padmanaba Srinivasan William J. Knottenbelt AI4TS 75 14 0 23 May 2022
A Unified Framework for Implicit Sinkhorn Differentiation Marvin Eisenberger Aysim Toker Laura Leal-Taixé Florian Bernard Zorah Lähner AI4CE 100 24 0 13 May 2022
Domain Adaptation meets Individual Fairness. And they get along Debarghya Mukherjee Felix Petersen Mikhail Yurochkin Yuekai Sun FaML 82 16 0 01 May 2022
An improved central limit theorem and fast convergence rates for entropic transportation costs E. del Barrio Alberto González Sanz Jean-Michel Loubes Jonathan Niles-Weed OT 71 36 0 19 Apr 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets A. Yeaton Rahul G. Krishnan Rebecca J. Mieloszyk David Alvarez-Melis G. Huynh OT 77 9 0 18 Apr 2022
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding Eric Lei Hamed Hassani Shirin Saeedi Bidokhti 67 20 0 04 Apr 2022
DAG-WGAN: Causal Structure Learning With Wasserstein Generative Adversarial Networks H. Petkov Colin Hanley Feng Dong GAN OOD CML 67 6 0 01 Apr 2022