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.
Homepage:
slgonzalez.com
Effective Regularization Through Loss-Function Metalearning Santiago Gonzalez and Risto Miikkulainen In arXiv:2010.00788, 2021. 2021

Evolving GAN Formulations for Higher Quality Image Synthesis Santiago Gonzalez, Mohak Kant, and Risto Miikkulainen arXiv:2102.08578, 2021. 2021

Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization Santiago Gonzalez and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2021. 2021

Regularized Evolutionary Population-Based Training Jason Liang, Santiago Gonzalez, Hormoz Shahrzad, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2021. 2021

Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Horm... In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020. 2020

Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization Santiago Gonzalez and Risto Miikkulainen In Proceedings of the 2020 IEEE Congress on Evolutionary Computation (CEC), July 2020. 2020

Improving Deep Learning Through Loss-Function Evolution Santiago Gonzalez PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2020. 2020

Faster Training by Selecting Samples Using Embeddings Santiago Gonzalez, Joshua Landgraf, and Risto Miikkulainen In Proceedings of the 2019 International Joint Conference on Neural Networks, Budapest, Hunga... 2019

SwiftCMA Download on GitHub

SwiftCMA is a pure-Swift implementati...
2019

SwiftGenetics Download on GitHub

SwiftGenetics is a genetic algor...
2019