Solving partial differential equations (PDEs) is a central task in scien...
We present a dimension-reduced KRnet map approach (DR-KRnet) for
high-di...
In this work we propose a deep adaptive sampling (DAS) method for solvin...
In this work, we have proposed augmented KRnets including both discrete ...
In this paper we present a novel adaptive deep density approximation str...
In this work, we have proposed a generative model for density estimation...
In this work, we develop an importance sampling estimator by coupling th...
Compressive sensing has become a powerful addition to uncertainty
quanti...