Garrett Bingham
Ph.D. Student
Garrett is a third-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 Neural Networks, 148:48-65, 2022. 2022

AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks Garrett Bingham and Risto Miikkulainen In arXiv:2109.08958, 2021. 2021

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