On Local Entropy, Stochastic Control, and Deep Neural Networks

Michele Pavon

Research output: Contribution to journalArticlepeer-review

Abstract

In this letter, we connect some recent papers on smoothing of energy landscapes and scored-based generative models of machine learning to classical work in stochastic control. We clarify these connections providing rigorous statements and representations which may serve as guidelines for further learning models.

Original languageEnglish (US)
Pages (from-to)437-441
Number of pages5
JournalIEEE Control Systems Letters
Volume7
DOIs
StatePublished - 2023

Keywords

  • machine learning
  • neural networks
  • Stochastic optimal control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization

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