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20162026
most citedAutocorrelation analysis for cryo-EM with sparsity constraints: Improved sample complexity and projection-based algorithms

14 citations · 31 across the 39 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.LG2026

Accelerated Learning of High Dimensional Functions with a Tensor-Featured Training Network

Karl Pierce, Yuehaw Khoo, Haizhao Yang

In this work we present a method to accelerate the optimization of learning high dimensional functions using deep neural network (DNN). This optimization procedure introduces conte…

stat.ML2026

Cluster-Aware Matching via Laplacian Optimal Transport

Gabriel Samberg, YoonHaeng Hur, Yuehaw Khoo +1

In many applications of matching, the point clouds to be matched are not merely unstructured sets of points but rather samples from distributions with an intrinsic cluster structur…

math.OC2026

Convex Relaxations for the Optimization of Markov Processes

Hongyi Zhang, Yuehaw Khoo, Tianyun Tang

In this paper, we study the problem of optimizing Markov processes that interpolate between two prescribed probability distributions while minimizing a given cost. The main computa…

stat.ME2026

Inlier Recovery for Robust Registration via Gram-Matrix Overlap

Ruizi Wu, Yuehaw Khoo, Wanjie Wang

Robust point-set registration in the presence of noise and outliers is challenging because the matched points (inliers) must be identified before reliable alignment can be performe…

quant-ph2026

Non-Uniform Quantum Fourier Transform

Junaid Aftab, Yuehaw Khoo, Haizhao Yang

The Discrete Fourier Transform (DFT) is central to the analysis of uniformly sampled signals, yet many practical applications involve non-uniform sampling, requiring the Non-Unifor…

physics.chem-ph2026

Adaptive tensor train metadynamics for high-dimensional free energy exploration

Nils E. Strand, Siyao Yang, Yuehaw Khoo +1

A key challenge for molecular dynamics simulations is efficient exploration of free energy landscapes over relevant collective variables (CV). Common methods for enhancing sampling…