1 citations · 1 across the 5 of their papers we have counts for
5 papers
Learning Informative Prior with Infinite-Dimensional Continuous Normalizing Flow for Bayesian Inverse Problem
Yang Zhao, Junxiong Jia, Tao Zhou
This paper addresses infinite-dimensional Bayesian inference for inverse problem of partial differential equations with model parameters in infinite-dimensional Hilbert space. To e…
Physical Computing at the Data Processing Inequality Limit
Yuhang Zheng, Yang Zhao, Xiuting Zou +6
Wave-physics-based intelligent sensing has driven multidisciplinary applications from smart industries to decision-making systems. Traditional sensing paradigms transform physical…
Functional normalizing flow for statistical inverse problems of partial differential equations
Yang Zhao, Haoyu Lu, Junxiong Jia +1
Inverse problems of partial differential equations are ubiquitous across various scientific disciplines and can be formulated as statistical inference problems using Bayes' theorem…
MIMO Channel Shaping and Rate Maximization Using Beyond-Diagonal RIS
Yang Zhao, Hongyu Li, Bruno Clerckx +1
This paper investigates the limits to which a passive Reconfigurable Intelligent Surface (RIS) can reshape a point-to-point Multiple-Input Multiple-Output (MIMO) channel in terms o…
PINNsFailureRegion Localization and Refinement through White-box AdversarialAttack
Shengzhu Shi, Yao Li, Zhichang Guo +2
Physics-informed neural networks (PINNs) have shown great promise in solving partial differential equations (PDEs). However, vanilla PINNs often face challenges when solving comple…