Debiased Sinkhorn barycenters

3 June 2020

Papers citing "Debiased Sinkhorn barycenters"

35 / 35 papers shown

Title
Mitigating Matching Biases Through Score Calibration Mohammad Hossein Moslemi Mostafa Milani 31 0 0 03 Nov 2024
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications Matthew Werenski Brendan Mallery Shuchin Aeron James M. Murphy 41 0 0 31 Oct 2024
Can LLMs predict the convergence of Stochastic Gradient Descent? Hiroki Sakaji Abdelhakim Benechehab Wataru Kuramoto LRM 62 2 0 03 Aug 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters Hao Liu Junze Tony Ye Ye Jose H. Blanchet DiffM FedML 40 1 0 28 Jun 2024
CharacterMixer: Rig-Aware Interpolation of 3D Characters Xiao Zhan Rao Fu Daniel E. Ritchie 3DH 41 1 0 23 Feb 2024
Accelerating Motion Planning via Optimal Transport An T. Le Georgia Chalvatzaki Armin Biess Jan Peters OT 26 11 0 27 Sep 2023
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology Yasuaki Hiraoka Yusuke Imoto Killian Meehan Théo Lacombe Toshiaki Yachimura 27 5 0 15 Sep 2023
Computational Guarantees for Doubly Entropic Wasserstein Barycenters via Damped Sinkhorn Iterations Lénaïc Chizat Tomas Vaskevicius 39 1 0 25 Jul 2023
Training neural operators to preserve invariant measures of chaotic attractors Ruoxi Jiang Peter Y. Lu Elena Orlova Rebecca Willett AI4TS 29 24 0 01 Jun 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 47 13 0 08 May 2023
Wasserstein Principal Component Analysis for Circular Measures Mario Beraha M. Pegoraro 23 2 0 05 Apr 2023
Doubly Regularized Entropic Wasserstein Barycenters Lénaïc Chizat 22 12 0 21 Mar 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu Jielin Qiu Aritra Guha Zhuolin Yang X. Nguyen Bo-wen Li Ding Zhao OOD 36 2 0 04 Feb 2023
Efficient Graph Field Integrators Meet Point Clouds K. Choromanski Arijit Sehanobish Han Lin Yunfan Zhao Eli Berger ... Kumar Avinava Dubey Deepali Jain Tamás Sarlós Snigdha Chaturvedi Adrian Weller 20 5 0 02 Feb 2023
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation Peide Huang Mengdi Xu Jiacheng Zhu Laixi Shi Fei Fang Ding Zhao CLL 44 24 0 18 Oct 2022
Wasserstein $K$ -means for clustering probability distributions Yubo Zhuang Xiaohui Chen Yun Yang 26 24 0 14 Sep 2022
Discovering Conservation Laws using Optimal Transport and Manifold Learning Peter Y. Lu Rumen Dangovski M. Soljavcić 27 17 0 31 Aug 2022
Multiview Regenerative Morphing with Dual Flows Chih-Jung Tsai Cheng Sun Hwann-Tzong Chen 3DH 34 1 0 02 Aug 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction Jiacheng Zhu Jielin Qiu Zhuolin Yang Douglas Weber M. Rosenberg Emerson Liu Bo-wen Li Ding Zhao OOD 33 13 0 02 Aug 2022
Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters Tim Tsz-Kit Lau Han Liu OOD 46 2 0 23 Mar 2022
Averaging Spatio-temporal Signals using Optimal Transport and Soft Alignments H. Janati Marco Cuturi Alexandre Gramfort OT 18 2 0 11 Mar 2022
Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters Johannes von Lindheim OT 20 5 0 02 Feb 2022
An Homogeneous Unbalanced Regularized Optimal Transport model with applications to Optimal Transport with Boundary Théo Lacombe OT 18 3 0 06 Jan 2022
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe Thibault Séjourné Franccois-Xavier Vialard Gabriel Peyré OT 24 18 0 03 Jan 2022
Variational Wasserstein Barycenters with c-Cyclical Monotonicity Jinjin Chi Zhiyao Yang Jihong Ouyang Ximing Li 26 5 0 22 Oct 2021
Optimal transport weights for causal inference Eric A. Dunipace CML OT 28 9 0 05 Sep 2021
Automatic Text Evaluation through the Lens of Wasserstein Barycenters Pierre Colombo Guillaume Staerman Chloé Clavel Pablo Piantanida 27 41 0 27 Aug 2021
Landmarks Augmentation with Manifold-Barycentric Oversampling Iaroslav Bespalov N. Buzun Oleg Kachan Dmitry V. Dylov MedIm 37 4 0 02 Apr 2021
Learning to Generate Wasserstein Barycenters Julien Lacombe Julie Digne Nicolas Courty Nicolas Bonneel 19 12 0 24 Feb 2021
On the Existence of Optimal Transport Gradient for Learning Generative Models Antoine Houdard Arthur Leclaire Nicolas Papadakis Julien Rabin OT GAN 16 6 0 10 Feb 2021
Wasserstein barycenters are NP-hard to compute Jason M. Altschuler Enric Boix-Adserà OT 169 41 0 04 Jan 2021
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes M. H. Quang 29 13 0 15 Nov 2020
Entropy-Regularized $2$ -Wasserstein Distance between Gaussian Measures Anton Mallasto Augusto Gerolin H. Q. Minh 34 51 0 05 Jun 2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form H. Janati Boris Muzellec Gabriel Peyré Marco Cuturi OT 43 86 0 03 Jun 2020
Sinkhorn Divergences for Unbalanced Optimal Transport Thibault Séjourné Jean Feydy Franccois-Xavier Vialard A. Trouvé Gabriel Peyré OT 30 72 0 28 Oct 2019