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Nathanaël Cuvelle-Magar

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#machine learning Feb 2026

MGD: Moment Guided Diffusion for Maximum Entropy Generation

Generating samples from limited information is a fundamental problem across scientific domains. Classical maximum entropy methods provide principled uncertainty quantification from moment constraints but require sampling via MCMC or Langevin dynamics, which typically exhibit exponential slowdown in high dimensions. In...

Etienne Lempereur, Nathanaël Cuvelle-Magar, Florentin Coeurdoux et al. · arXiv.org · 1 citation