:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Huang, Jianming, Su, Xun, Fang, Zhongxi, Kasai, Hiroyuki
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2310.16123
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Navigating the Exploration-Exploitation Tradeoff in Inference-Time Scaling of Diffusion Models
by: Su, Xun, et al.
Published: (2025)

Self-supervised Subgraph Neural Network With Deep Reinforcement Walk Exploration
by: Huang, Jianming, et al.
Published: (2025)

Noise is All You Need: Solving Linear Inverse Problems by Noise Combination Sampling with Diffusion Models
by: Su, Xun, et al.
Published: (2025)

Neural Optimal Transport in Hilbert Spaces: Characterizing Spurious Solutions and Gaussian Smoothing
by: Choi, Jae-Hwan, et al.
Published: (2026)

On the Equivalence of Optimal Transport Problem and Action Matching with Optimal Vector Fields
by: Kornilov, Nikita, et al.
Published: (2025)

Regularity of Solutions to Beckmann's Parametric Optimal Transport
by: Gottschalk, Hanno, et al.
Published: (2026)

Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
by: Choi, Jaemoo, et al.
Published: (2025)

A Sinkhorn-type Algorithm for Constrained Optimal Transport
by: Tang, Xun, et al.
Published: (2024)

UOTIP: Unbalanced Optimal Transport Map for Unpaired Inverse Problems
by: Lee, Donggyu, et al.
Published: (2026)

Strongly Isomorphic Neural Optimal Transport Across Incomparable Spaces
by: Sotiropoulou, Athina, et al.
Published: (2024)

Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport
by: Zeng, Siqi, et al.
Published: (2024)

Light Unbalanced Optimal Transport
by: Gazdieva, Milena, et al.
Published: (2023)

Transformer Fusion with Optimal Transport
by: Imfeld, Moritz, et al.
Published: (2023)

Sliced-Regularized Optimal Transport
by: Nguyen, Khai
Published: (2026)

Variational Entropic Optimal Transport
by: Dyachenko, Roman, et al.
Published: (2026)

Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
by: Ponnoprat, Donlapark, et al.
Published: (2026)

Fast and Interpretable Protein Substructure Alignment via Optimal Transport
by: Wang, Zhiyu, et al.
Published: (2025)

Geometry-Aware Optimal Transport: Fast Intrinsic Dimension and Wasserstein Distance Estimation
by: Genans, Ferdinand, et al.
Published: (2026)

Fast Log-Domain Sinkhorn Optimal Transport with Warp-Level GPU Reductions
by: Xiao, Hao
Published: (2026)

ENOT: Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
by: Buzun, Nazar, et al.
Published: (2024)

Slicing Unbalanced Optimal Transport
by: Bonet, Clément, et al.
Published: (2023)

Streaming Sliced Optimal Transport
by: Nguyen, Khai
Published: (2025)

Riemannian Neural Optimal Transport
by: Micheli, Alessandro, et al.
Published: (2026)

Decentralized and Equitable Optimal Transport
by: Lau, Ivan, et al.
Published: (2024)

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods
by: Li, Gen, et al.
Published: (2023)

Neural Optimal Transport with Lagrangian Costs
by: Pooladian, Aram-Alexandre, et al.
Published: (2024)

Progressive Entropic Optimal Transport Solvers
by: Kassraie, Parnian, et al.
Published: (2024)

Geometric Operator Learning with Optimal Transport
by: Li, Xinyi, et al.
Published: (2025)

Optimal Transport Group Counterfactual Explanations
by: Valero-Leal, Enrique, et al.
Published: (2026)

Optimal Transport-based Conformal Prediction
by: Thurin, Gauthier, et al.
Published: (2025)

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
by: Goh, Yong Liang, et al.
Published: (2022)

Transport Clustering: Solving Low-Rank Optimal Transport via Clustering
by: Schmidt, Henri, et al.
Published: (2026)

Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport
by: Croissant, Lorenzo
Published: (2025)

Optimal Transport for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2023)

Conditional Optimal Transport on Function Spaces
by: Hosseini, Bamdad, et al.
Published: (2023)

Entropic Riemannian Neural Optimal Transport
by: Micheli, Alessandro, et al.
Published: (2026)

Fast filtering of non-Gaussian models using Amortized Optimal Transport Maps
by: Al-Jarrah, Mohammad, et al.
Published: (2025)

SpecTr: Fast Speculative Decoding via Optimal Transport
by: Sun, Ziteng, et al.
Published: (2023)

An Introduction to Sliced Optimal Transport
by: Nguyen, Khai
Published: (2025)

Optimal Transport for Probabilistic Circuits
by: Ciotinga, Adrian, et al.
Published: (2024)