2 citations · 4 across the 5 of their papers we have counts for
5 papers
A Model-Guided Neural Network Method for the Inverse Scattering Problem
Olivia Tsang, Owen Melia, Vasileios Charisopoulos +3
Inverse medium scattering is an ill-posed, nonlinear wave-based imaging problem arising in medical imaging, remote sensing, and non-destructive testing. Machine learning (ML) metho…
Hardware Acceleration for HPS Algorithms in Two and Three Dimensions
Owen Melia, Daniel Fortunato, Jeremy Hoskins +1
We provide a flexible, open-source framework for hardware acceleration, namely massively-parallel execution on general-purpose graphics processing units (GPUs), applied to the hier…
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…
Multi-Frequency Progressive Refinement for Learned Inverse Scattering
Owen Melia, Olivia Tsang, Vasileios Charisopoulos +3
Interpreting scattered acoustic and electromagnetic wave patterns is a computational task that enables remote imaging in a number of important applications, including medical imagi…
Generative modeling via tensor train sketching
YH. Hur, J. G. Hoskins, M. Lindsey +2
In this paper, we introduce a sketching algorithm for constructing a tensor train representation of a probability density from its samples. Our method deviates from the standard re…