2 papers
stat.ML2023
Pruning a neural network using Bayesian inference
Sunil Mathew, Daniel B. Rowe
Neural network pruning is a highly effective technique aimed at reducing the computational and memory demands of large neural networks. In this research paper, we present a novel a…
eess.IV2021
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems
William Herzberg, Daniel B. Rowe, Andreas Hauptmann +1
The majority of model-based learned image reconstruction methods in medical imaging have been limited to uniform domains, such as pixelated images. If the underlying model is solve…