139 citations · 188 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 49 cited
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients
Brenden K. Petersen, Mikel Landajuela, T. Nathan Mundhenk +3
Discovering the underlying mathematical expressions describing a dataset is a core challenge for artificial intelligence. This is the problem of . Des…
cs.CV2017★ 139 cited
Improvements to context based self-supervised learning
T. Nathan Mundhenk, Daniel Ho, Barry Y. Chen
We develop a set of methods to improve on the results of self-supervised learning using context. We start with a baseline of patch based arrangement context learning and go from th…