Tag: Gaussian Process

ScientificML

Proposes NeSTR method that learns the S-Transform on a finite dimensional subspace of white noise test space to reconstruct stochastic solutions for Gaussian SPDEs.

ScientificML

Proposes a triply-scalable equivariant Gaussian process method that encodes symmetries while maintaining probabilistic predictions and uncertainty quantification for large-scale scientific computing.