2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
Active Learning on Synthons for Molecular Design
Tom George Grigg, Mason Burlage, Oliver Brook Scott +3
Exhaustive virtual screening is highly informative but often intractable against the expensive objective functions involved in modern drug discovery. This problem is exacerbated in…
cs.CV2021★ 2 cited
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
Tom George Grigg, Dan Busbridge, Jason Ramapuram +1
Despite the success of a number of recent techniques for visual self-supervised deep learning, there has been limited investigation into the representations that are ultimately lea…