Iterative and greedy algorithms for the sparsity in levels model in compressed sensing. - Ben Adcock; Simone Brugiapaglia; Matthew King-Roskamp (CoRR, 2021)

The Benefits of Acting Locally: Reconstruction Algorithms for Sparse in Levels Signals With Stable and Robust Recovery Guarantees. - Ben Adcock; Simone Brugiapaglia; Matthew King-Roskamp (IEEE Trans. Signal Process., 2021)

Do Log Factors Matter? On Optimal Wavelet Approximation and the Foundations of Compressed Sensing. - Ben Adcock; Simone Brugiapaglia; Matthew King-Roskamp (Found. Comput. Math., 2022)

Data-Driven Priors in the Maximum Entropy on the Mean Method for Linear Inverse Problems. - Matthew King-Roskamp; Rustum Choksi; Tim Hoheisel (CoRR, 2024)