14 citations · 31 across the 39 of their papers we have counts for
10 papers · 1 filter
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…
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…
Method of Moments for Estimation of Noisy Curves
Phillip Lo, Yuehaw Khoo
In this paper, we study the problem of recovering a ground truth high dimensional piecewise linear curve from a high noise Gaussian point cloud with…
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…
Solving cluster moment relaxation with hierarchical matrix
Yi Wang, Rizheng Huang, Yuehaw Khoo
Convex relaxation methods are powerful tools for studying the lowest energy of many-body problems. By relaxing the representability conditions for marginals to a set of local const…
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization
Richard L. Zhu, Mathias Oster, Yuehaw Khoo
Global polynomial optimization is an important tool across applied mathematics, with many applications in operations research, engineering, and physical sciences. In various settin…