Computational Optimal Transport

1 March 2018

Papers citing "Computational Optimal Transport"

50 / 255 papers shown

Title
Metric Similarity and Manifold Learning of Circular Dichroism Spectra of Proteins Gionni Marchetti 26 0 0 27 Apr 2025
Deep Cut-informed Graph Embedding and Clustering Zhiyuan Ning Zaitian Wang Ran Zhang Ping Xu Kunpeng Liu ... Chong Chen Pengfei Wang Yuanchun Zhou Erik Cambria C. L. P. Chen GNN 76 1 0 09 Mar 2025
Fractional Correspondence Framework in Detection Transformer Masoumeh Zareapoor Pourya Shamsolmoali Huiyu Zhou Yue Lu Salvador García 52 0 0 06 Mar 2025
Multivariate Conformal Prediction using Optimal Transport Michal Klein Louis Béthune Eugène Ndiaye Marco Cuturi OT 61 3 0 05 Feb 2025
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices Thibault de Surrel Fabien Lotte Sylvain Chevallier Florian Yger 60 0 0 03 Feb 2025
Improved learning theory for kernel distribution regression with two-stage sampling F. Bachoc Louis Bethune Alberto González Sanz Jean-Michel Loubes 96 1 0 28 Jan 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 47 2 0 28 Jan 2025
AI-powered virtual tissues from spatial proteomics for clinical diagnostics and biomedical discovery Johann Wenckstern Eeshaan Jain Kiril Vasilev Matteo Pariset Andreas Wicki Gabriele Gut Charlotte Bunne 34 1 0 10 Jan 2025
Using Linearized Optimal Transport to Predict the Evolution of Stochastic Particle Systems Nicholas Karris Evangelos A. Nikitopoulos Ioannis G. Kevrekidis Seungjoon Lee Alexander Cloninger OT 45 0 0 10 Jan 2025
GloCOM: A Short Text Neural Topic Model via Global Clustering Context Quang Duc Nguyen Tung Nguyen Duc Anh Nguyen L. Van Sang Dinh T. Nguyen 66 0 0 30 Nov 2024
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions Jake Buzhardt C. Ricardo Constante-Amores Michael D. Graham 63 2 0 20 Nov 2024
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications Matthew Werenski Brendan Mallery Shuchin Aeron James M. Murphy 38 0 0 31 Oct 2024
Zero-Shot Offline Imitation Learning via Optimal Transport Thomas Rupf Marco Bagatella Nico Gürtler Jonas Frey Georg Martius OffRL 127 0 0 11 Oct 2024
Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport Siqi Zeng Sixian Du M. Yamada Han Zhao OT 41 0 0 04 Oct 2024
$BM$^2$: Coupled Schr\"{o}dinger Bridge Matching$ BM $^2$ : Coupled Schr\"{o}dinger Bridge Matching Stefano Peluchetti OT 30 0 0 14 Sep 2024
One-Shot Imitation under Mismatched Execution K. Kedia Prithwish Dan Sanjiban Choudhury Maximus Adrian Pace Sanjiban Choudhury 40 2 0 10 Sep 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 49 0 0 31 Aug 2024
Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong Kirill Neklyudov 36 5 0 26 Aug 2024
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment Théo Gnassounou Antoine Collas Rémi Flamary Karim Lounici Alexandre Gramfort 43 2 0 19 Jul 2024
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration Hangting Ye Wei Fan Xiaozhuang Song Shun Zheng He Zhao Dandan Guo Yi Chang OOD 40 18 0 07 Jul 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters Hao Liu Junze Tony Ye Ye Jose H. Blanchet DiffM FedML 36 1 0 28 Jun 2024
Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior Anming Gu Edward Chien Kristjan Greenewald 46 4 0 11 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 53 0 0 03 Jun 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng Alexandre H. Thiery Harold Soh 51 1 0 20 May 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions Khai Nguyen Nhat Ho 42 3 0 23 Apr 2024
Matching Non-Identical Objects Yusuke Marumo Kazuhiko Kawamoto Hiroshi Kera 29 0 0 13 Mar 2024
Decentralized and Equitable Optimal Transport Ivan Lau Shiqian Ma César A. Uribe OT 33 0 0 07 Mar 2024
Collective Counterfactual Explanations via Optimal Transport A. Ehyaei Ali Shirali Samira Samadi OffRL OT 23 1 0 07 Feb 2024
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations Xun Tang Michael Shavlovsky Holakou Rahmanian Elisa Tardini K. K. Thekumparampil Tesi Xiao Lexing Ying OT 36 4 0 20 Jan 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework Fangyikang Wang Huminhao Zhu Chao Zhang Han Zhao Hui Qian 24 5 0 27 Dec 2023
A New Perspective On Denoising Based On Optimal Transport Nicolas García Trillos Bodhisattva Sen OOD OT 38 0 0 13 Dec 2023
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 29 7 0 05 Dec 2023
Manifold learning in Wasserstein space Keaton Hamm Caroline Moosmüller Bernhard Schmitzer Matthew Thorpe 43 4 0 14 Nov 2023
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm Stephan Eckstein 26 7 0 07 Nov 2023
Toward Stronger Textual Attack Detectors Pierre Colombo Marine Picot Nathan Noiry Guillaume Staerman Pablo Piantanida 44 5 0 21 Oct 2023
Optimal Transport for Measures with Noisy Tree Metric Tam Le Truyen V. Nguyen Kenji Fukumizu OT 32 4 0 20 Oct 2023
Neural domain alignment for spoken language recognition based on optimal transport Xugang Lu Peng Shen Yu Tsao Hisashi Kawai OT 30 0 0 20 Oct 2023
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport Quentin Bouniot I. Redko Anton Mallasto Charlotte Laclau Karol Arndt Oliver Struckmeier Markus Heinonen Ville Kyrki Samuel Kaski 54 2 0 17 Oct 2023
A Kernel Perspective on Behavioural Metrics for Markov Decision Processes P. S. Castro Tyler Kastner Prakash Panangaden Mark Rowland 33 4 0 05 Oct 2023
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 29 4 0 02 Oct 2023
Partial Transport for Point-Cloud Registration Yikun Bai Huy Tran S. Damelin Soheil Kolouri 3DPC OT 32 1 0 27 Sep 2023
Density Estimation via Measure Transport: Outlook for Applications in the Biological Sciences Vanessa López-Marrero Patrick R. Johnstone Gilchan Park Xihaier Luo OT 31 1 0 27 Sep 2023
Improving Generative Model-based Unfolding with Schrödinger Bridges S. Diefenbacher Guan-Horng Liu Vinicius Mikuni Benjamin Nachman Weili Nie DiffM 14 20 0 23 Aug 2023
Unsupervised Deep Graph Matching Based on Cycle Consistency Siddharth Tourani Carsten Rother M. H. Khan Bogdan Savchynskkyy 26 3 0 18 Jul 2023
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 16 4 0 13 Jul 2023
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measures T. Besnier Sylvain Arguillere E. Pierson Mohamed Daoudi 3DH 16 8 0 27 Jun 2023
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering Lin Xi Weihai Chen Xingming Wu Zhong Liu Zhengguo Li VOS 26 9 0 21 Jun 2023
Minimum intrinsic dimension scaling for entropic optimal transport Austin J. Stromme 24 10 0 06 Jun 2023
Provable convergence guarantees for black-box variational inference Justin Domke Guillaume Garrigos Robert Mansel Gower 18 18 0 04 Jun 2023
Rectifying Group Irregularities in Explanations for Distribution Shift Adam Stein Yinjun Wu Eric Wong Mayur Naik 27 1 0 25 May 2023