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.
Homepage:
https://garrettbingham.com
Publications
Discovering Parametric Activation Functions 2021
Garrett Bingham and Risto Miikkulainen, arXiv:2006.03179 (2021).
Evolutionary Optimization of Deep Learning Activation Functions 2020
Garrett Bingham, William Macke, and Risto Miikkulainen, To Appear In Genetic and Evolutionary Computation Conference (GECCO '20), Cancun, Mexico, 2020.
Areas of Interest
Evolutionary Computation Neuroevolution Supervised Learning
Labs
Currently affiliated with Neural Networks