Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data

DOI10.1137/23M1587841MaRDI QIDQ6664473

Hyemin Gu, Yannis Pantazis, L. Rey-Bellet, Markos A. Katsoulakis, P. Birmpa

Publication date: 16 January 2025

Published in: SIAM Journal on Mathematics of Data Science (Search for Journal in Brave)

zbMATH Keywords

gradient flowinformation theorydata integrationoptimal transportparticle algorithmsgenerative modeling

Mathematics Subject Classification ID

Computational learning theory (68Q32) Artificial neural networks and deep learning (68T07) Flows in porous media; filtration; seepage (76S05) Measures of information, entropy (94A17) Statistical aspects of information-theoretic topics (62B10) Stochastic particle methods (65C35) Fokker-Planck equations (35Q84) Optimal transportation (49Q22)

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