neural networks research group
areas
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people
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projects
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demos
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publications
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software/data
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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.
Email:
bingham [at] cs utexas edu
Homepage:
https://garrettbingham.com
Publications
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
Areas of Interest
Supervised Learning
Evolutionary Computation
Neuroevolution