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Found 4 papers, 0 papers with code
Matching via Distance Profiles
In this paper, we introduce and study matching methods based on distance profiles.
Generative Modeling via Tree Tensor Network States
In this paper, we present a density estimation framework based on tree tensor-network states.
Online Learning to Transport via the Minimal Selection Principle
Motivated by robust dynamic resource allocation in operations research, we study the \textit{Online Learning to Transport} (OLT) problem where the decision variable is a probability measure, an infinite-dimensional object.
Reversible Gromov-Monge Sampler for Simulation-Based Inference
Motivated by the seminal work on distance and isomorphism between metric measure spaces, we propose a new notion called the Reversible Gromov-Monge (RGM) distance and study how RGM can be used to design new transform samplers to perform simulation-based inference.
