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Rectified deep neural networks overcome the curse of dimensionality when approximating solutions of McKean-Vlasov stochastic differential equations.

Ariel NeufeldTuan Anh Nguyen
Published in: CoRR (2023)
Keyphrases
  • stochastic differential equations
  • neural network
  • maximum a posteriori estimation
  • brownian motion
  • image processing
  • additive gaussian noise
  • supply chain