3 papers
stat.ML2021
Uncertainty quantification for ptychography using normalizing flows
Agnimitra Dasgupta, Zichao Wendy Di
Ptychography, as an essential tool for high-resolution and nondestructive material characterization, presents a challenging large-scale nonlinear and non-convex inverse problem; ho…
math.NA2019
Centroidal Voronoi Tessellation Based Methods for Optimal Rain Gauge Location Prediction
Zichao Wendy Di, Viviana Maggioni, Yiwen Mei +3
With more satellite and model precipitation data becoming available, new analytical methods are needed that can take advantage of emerging data patterns to make well informed predi…
eess.IV2019
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography
Harbir Antil, Zichao Di, Ratna Khatri
In this work we consider a generalized bilevel optimization framework for solving inverse problems. We introduce fractional Laplacian as a regularizer to improve the reconstruction…