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Learning minimal representations of stochastic processes with variational autoencoders.

Gabriel Fernández-FernándezCarlo ManzoMaciej LewensteinAlexandre DauphinGorka Muñoz-Gil
Published in: CoRR (2023)
Keyphrases
  • stochastic processes
  • learning algorithm
  • active learning
  • reinforcement learning
  • supervised learning
  • higher order
  • random fields
  • bayesian inference
  • dynamic bayesian networks
  • stochastic process