2 citations · 4 across the 4 of their papers we have counts for
5 papers
A kernel-independent precorrected-FFT method
Tristan Goodwill, Owen Melia
The precorrected-FFT has been used to rapidly evaluate -body sums arising in electromagnetics and acoustics settings. It has, however, been historically limited to kernels that…
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…
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…
Rotation-Invariant Random Features Provide a Strong Baseline for Machine Learning on 3D Point Clouds
Owen Melia, Eric Jonas, Rebecca Willett
Rotational invariance is a popular inductive bias used by many fields in machine learning, such as computer vision and machine learning for quantum chemistry. Rotation-invariant ma…