It is known that standard stochastic Galerkin methods encounter challeng...
We present a dimension-reduced KRnet map approach (DR-KRnet) for
high-di...
The Bayesian streaming tensor decomposition method is a novel method to
...
Solving high-dimensional Bayesian inverse problems (BIPs) with the
varia...
In many Bayesian inverse problems the goal is to recover a spatially var...
We present a reduced basis stochastic Galerkin method for partial
differ...
In this paper, we present a deep neural network based adaptive learning
...
In this paper we present a Fourier feature based deep domain decompositi...
In this paper we present a novel adaptive deep density approximation str...
This work proposes a novel tensor train random projection (TTRP) method ...
A state-of-the-art deep domain decomposition method (D3M) based on the
v...
Failure probability evaluation for complex physical and engineering syst...