HyperPINN: Learning parameterized differential equations with physics-informed hypernetworks.

Filipe de Avila Belbute-Peres Yi-Fan Chen Fei Sha

Published in: CoRR (2021)

Keyphrases

differential equations
learning algorithm
reinforcement learning
learning process
dynamical systems
boundary value problem
neural network
genetic algorithm
computer vision
pattern recognition
artificial neural networks
mathematical model
brownian motion