Santiago Gonzalez
Ph.D. Student
Santiago Gonzalez is a PhD student interested in neuroevolution and metalearning. Before coming to UT Austin, Gonzalez got a BS and an MS in Computer Science from the Colorado School of Mines.
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.
Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations 2020
Santiago Gonzalez and Risto Miikkulainen, To Appear arXiv preprint arXiv:2002.00059 (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), July 2020.
Population-Based Training for Loss Function Optimization 2020
Jason Liang, Santiago Gonzalez, Risto Miikkulainen, To Appear In arXiv:2002.04225 (2020).
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).
SwiftCMA Download on GitHub

SwiftCMA is a pure-Swift implementati...

SwiftGenetics Download on GitHub

SwiftGenetics is a genetic algor...

Currently affiliated with Neural Networks