most citedMulti-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network

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math.NA2021★ 6 cited

Multi-variance replica exchange stochastic gradient MCMC for inverse and forward Bayesian physics-informed neural network

Guang Lin, Yating Wang, Zecheng Zhang

Physics-informed neural network (PINN) has been successfully applied in solving a variety of nonlinear non-convex forward and inverse problems. However, the training is challenging…