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Generator Matching: Generative modeling with arbitrary Markov processes
arXiv.orgWe introduce Generator Matching, a modality-agnostic framework for generative modeling using arbitrary Markov processes. Generators characterize the infinitesimal evolution of a Markov process, which we leverage for generative modeling in a similar vein ...
Peter Holderrieth +8 more
semanticscholar +1 more source
Asymptotic evaluation of certain Markov process expectations for large time
, 1975M. Donsker, S. Varadhan
semanticscholar +1 more source
The Markov Process as a Compositional Model: A Survey and Tutorial
, 2017Charles Ames
semanticscholar +1 more source
Semi-Markov Process-Based Integrated Importance Measure for Multi-State Systems
IEEE Transactions on Reliability, 2015Hongyan Dui +3 more
semanticscholar +1 more source
The Markov Process in Medical Prognosis
Medical decision making, 1983J. Beck, S. Pauker
semanticscholar +1 more source
Markov Chain Sampling Methods for Dirichlet Process Mixture Models
, 2000Radford M. Neal
semanticscholar +1 more source
A Procrustean Markov Process for Non-rigid Structure Recovery
2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014Minsik Lee, Chong-Ho Choi, Songhwai Oh
semanticscholar +1 more source

