Garrett Bingham
Ph.D. Alumni, Collaborator
Garrett's PhD research focused on automatic machine learning. Prior to UT Austin, Garrett received a B.S. in Computer Science and Mathematics from Yale University.
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks Garrett Bingham and Risto Miikkulainen In Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023. (also arXiv:20... 2023

Efficient Activation Function Optimization through Surrogate Modeling Garrett Bingham and Risto Miikkulainen In Proceedings of the 23rd Conference on Neural Information Processing Systems (NeurIPS 2023)... 2023

Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization Garrett Bingham PhD Thesis, Department of Computer Science, The University of Texas at Austin, May 2023. 2023

Discovering Parametric Activation Functions Garrett Bingham and Risto Miikkulainen Neural Networks, 148:48-65, 2022. 2022

Evolutionary Optimization of Deep Learning Activation Functions Garrett Bingham, William Macke, and Risto Miikkulainen In Genetic and Evolutionary Computation Conference (GECCO '20), 289-296, Cancun, Mexico, 20... 2020