Published several preprints, such as 'Variational inference and density estimation with non-negative tensor train', 'Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach', and more.
Research Experience
Currently a Professor of Mathematics at Stanford University, advising multiple PhD students and postdocs. Research projects include variational inference and density estimation with non-negative tensor train, solving inverse problems via diffusion-based priors, and initialization and training of matrix product state probabilistic models, etc.
Education
Insufficient information
Background
Professor of Mathematics at Stanford University, with research interests including quantum algorithms, sparse recovery, multimodal sampling, quantum pseudo-differential operators, numerical analysis, deep learning, and stochastic gradient descent, among others.
Miscellany
Contact: Phone 650-723-2221, Email lexing at stanford dot edu, Address 450 Jane Stanford Way, Bldg 380, Stanford, CA 94305-2125.