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Santiago Gonzalez
Ph.D. Alumni
Santiago Gonzalez was a PhD student interested in the intersection of evolution and metalearning who graduated from UT Austin in December 2020. Before coming to UT Austin, Gonzalez got a BS and an MS in Computer Science from the Colorado School of Mines.
Email:
slgonzalez [at] utexas edu
Homepage:
slgonzalez.com
Publications
Evolving GAN Formulations for Higher Quality Image Synthesis
2023
Santiago Gonzalez, Mohak Kant, and Risto Miikkulainen, To Appear In
Artificial Intelligence in the Age of Neural Networks and Brain Computing (second edition)
, R. Kozma, C. Alippi, Y. Choe, and F. C. Morabito (Eds.), New York, 2023. Elsevier. Als...
Effective Regularization Through Loss-Function Metalearning
2021
Santiago Gonzalez and Risto Miikkulainen,
arXiv:2010.00788
(2021).
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization
2021
Santiago Gonzalez and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 305-313, 2021.
Regularized Evolutionary Population-Based Training
2021
Jason Liang, Santiago Gonzalez, Hormoz Shahrzad, and Risto Miikkulainen, In
Proceedings of the Genetic and Evolutionary Computation Conference
, pp. 323-331, 2021.
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription
2020
Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad, In
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020)
, 2020.
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization
2020
Santiago Gonzalez and Risto Miikkulainen, In
Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC)
, pp. 1-8, July 2020.
Improving Deep Learning Through Loss-Function Evolution
2020
Santiago Gonzalez, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
Faster Training by Selecting Samples Using Embeddings
2019
Santiago Gonzalez, Joshua Landgraf, and Risto Miikkulainen,
Proceedings of the 2019 International Joint Conference on Neural Networks
(2019), pp. 1-7.
Software/Data
SwiftCMA
Download on GitHub
SwiftCMA is a pure-Swift implementation of Co...
2019
SwiftGenetics
Download on GitHub
SwiftGenetics is a genetic algor...
2019
Labs
Formerly affiliated with
Neural Networks