Garrett Bingham
Ph.D. Student
Garrett is a first-year Ph.D. student. His research utilizes evolutionary algorithms and meta-learning to optimize deep learning workflows. Prior to UT Austin, Garrett received a B.S. in Computer Science and Mathematics from Yale University.
Discovering Parametric Activation Functions Garrett Bingham and Risto Miikkulainen In arXiv:2006.03179, June 2020. 2020

Evolutionary Optimization of Deep Learning Activation Functions Garrett Bingham, William Macke, and Risto Miikkulainen To Appear In Genetic and Evolutionary Computation Conference (GECCO '20), Cancun, Mexico, 2... 2020