2 citations · 2 across the 20 of their papers we have counts for
8 papers · 1 filter
Re-anchoring Quantum Monte Carlo with Tensor-Train Sketching
Ziang Yu, Shiwei Zhang, Yuehaw Khoo
We propose a novel algorithm for calculating the ground-state energy of quantum many-body systems by combining auxiliary-field quantum Monte Carlo (AFQMC) with tensor-train sketchi…
Generative Modeling via Hierarchical Tensor Sketching
Yifan Peng, Yian Chen, E. Miles Stoudenmire +1
We propose a hierarchical tensor-network approach for approximating high-dimensional probability density via empirical distribution. This leverages randomized singular value decomp…
Fast operator learning for mapping correlations
Yuehaw Khoo, Yuguan Wang, Siyao Yang
We propose a fast, optimization-free method for learning the transition operators of high-dimensional Markov processes. The central idea is to perform a Galerkin projection of the…
Combining Monte Carlo and Tensor-network Methods for Partial Differential Equations via Sketching
Yian Chen, Yuehaw Khoo, Ziang Yu
In this paper, we propose a general framework for solving high-dimensional partial differential equations with tensor networks. Our approach uses Monte-Carlo simulations to update…
Subspace method of moments for ab initio 3-D single-particle cryo-EM reconstruction
Jeremy Hoskins, Yuehaw Khoo, Oscar Mickelin +2
Cryo-electron microscopy (cryo-EM) is a widely used technique for recovering the 3-D structure of biological molecules from a large number of experimentally generated noisy 2-D tom…
Tensor Density Estimator by Convolution-Deconvolution
Yifan Peng, Siyao Yang, Yuehaw Khoo +1
We propose a linear algebraic framework for performing density estimation. It consists of three simple steps: convolving the empirical distribution with certain smoothing kernels t…