2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
Compressing Heavy-Tailed Weight Matrices for Non-Vacuous Generalization Bounds
John Y. Shin
Heavy-tailed distributions have been studied in statistics, random matrix theory, physics, and econometrics as models of correlated systems, among other domains. Further, heavy-tai…
cs.LG2021
An Energy-Based View of Graph Neural Networks
John Y. Shin, Prathamesh Dharangutte
Graph neural networks are a popular variant of neural networks that work with graph-structured data. In this work, we consider combining graph neural networks with the energy-based…
physics.comp-ph2018
Dictionary Learning in Fourier Transform Scanning Tunneling Spectroscopy
Sky C. Cheung, John Y. Shin, Yenson Lau +5
Modern high-resolution microscopes, such as the scanning tunneling microscope, are commonly used to study specimens that have dense and aperiodic spatial structure. Extracting mean…