Hung-Hsu Chou

collaborators

3 papers

cs.IT2026

Compressive Sensing - Introduction and Relations to Deep Learning

Hung-Hsu Chou, Johannes Maly, Holger Rauhut

Compressive sensing predicts that sparse vectors (signals) can be recovered from a small number of linear measurements via efficient algorithms. This finding, which dates back two…

cs.LG2026

Latent Structure Emergence in Diffusion Models via Confidence-Based Filtering

Wei Wei, Yizhou Zeng, Kuntian Chen +3

Diffusion models rely on a high-dimensional latent space of initial noise seeds, yet it remains unclear whether this space contains sufficient structure to predict properties of th…

cs.IT2025

Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Approximately Low-Rank Matrices? Yes, $M A M^{*}$ !

Edem Boahen, Simone Brugiapaglia, Hung-Hsu Chou +2

Motivated by applications such as sparse PCA, in this paper we present provably-accurate one-pass algorithms for the sparse approximation of the top eigenvectors of extremely massi…

Compressive Sensing - Introduction and Relations to Deep Learning

Latent Structure Emergence in Diffusion Models via Confidence-Based Filtering

Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Approximately Low-Rank Matrices? Yes, MAM∗!

Fast One-Pass Sparse Approximation of the Top Eigenvectors of Huge Approximately Low-Rank Matrices? Yes, $M A M^{*}$ !