Santiago Gonzalez

According to our database, Santiago Gonzalez authored at least 15 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs.

Santiago Gonzalez, Alireza Amiri Bavandpour, Peter Ye, Edward Zhang, Ruslans Aleksejevs, Todor Antic, Polina Baron, Sujeet Bhalerao, Shubhrajit Bhattacharya, Zachary Burton, John Byrne, Hyungjun Choi, Nujhat Ahmed Disha, Koppány István Encz, Yuchen Fang, Robert Joseph George, Ebrahim Ghorbani, Alan Goldfarb, Jing Guo, Meghal Gupta, Stefano Huber, Annika Kanckos, Minjung Kang, Hyun Jong Kim, Dino Lorenzini, Levi Lorenzo, Tianyi Mao, Giovanni Marzenta, Ariane M. Masuda, Lukas Mauth, Ana Mickovic, Andres Miniguano-Trujillo, Antoine Moulin, Wenqi Ni, Tomos Parry, Kevin Ren, Hossein Roodbarani, Mathieu Rundström, Manjil Saikia, Detchat Samart, Rebecca Steiner, Connor Stewart, Dhara Thakkar, Jeffrey Tse, Vasiliki Velona, Yunhai Xiang, Sibel Yalçin, Jun Yan, Ji Zeng, Arman Cohan, Quanquan C. Liu

CoRR, February, 2026

2025

Effective Regularization Through Evolutionary Loss-Function Metalearning.

Santiago Gonzalez, Xin Qiu, Risto Miikkulainen

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2021

Evolving GAN Formulations for Higher Quality Image Synthesis.

Santiago Gonzalez, Mohak Kant, Risto Miikkulainen

CoRR, 2021

Regularized evolutionary population-based training.

Jason Zhi Liang, Santiago Gonzalez, Hormoz Shahrzad, Risto Miikkulainen

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Optimizing loss functions through multi-variate taylor polynomial parameterization.

Santiago Gonzalez, Risto Miikkulainen

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

The evolutionary history of 2,658 cancers.

Moritz Gerstung, Clemency Jolly, Ignaty Leshchiner, Stefan C. Dentro, Santiago Gonzalez, Thomas J. Mitchell, Yulia Rubanova, Pavana Anur, Kaixian Yu, Maxime Tarabichi, Amit G. Deshwar, Jeff Wintersinger, Kortine Kleinheinz, Ignacio Vázquez-García, Kerstin Haase, Lara Jerman, Subhajit Sengupta, Geoff MacIntyre, Salem Malikic, Nilgun Donmez, Dimitri G. Livitz, Marek Cmero, Jonas Demeulemeester, Steven E. Schumacher, Yu Fan, Xiaotong Yao, Juhee Lee, Matthias Schlesner, Paul C. Boutros, David D. L. Bowtell, Hongtu Zhu, Gad Getz, Marcin Imielinski, Rameen Beroukhim, Süleyman Cenk Sahinalp, Yuan Ji, Martin Peifer, Florian Markowetz, Ville Mustonen, Ke Yuan, Wenyi Wang, Quaid D. Morris, David J. Adams, Peter J. Campbell, Shaolong Cao, Elizabeth L. Christie, Yupeng Cun, Kevin J. Dawson, Ruben M. Drews, Roland Eils, Matthew Fittall, Dale W. Garsed, Gavin Ha, Henry Lee-Six, Iñigo Martincorena, Layla Oesper, Myron Peto, Benjamin J. Raphael, Daniel T. Rosebrock, Adriana Salcedo, Ruian Shi, Seung Jun Shin, Oliver Spiro, Lincoln D. Stein, Shankar Vembu, David A. Wheeler, Tsun-Po Yang, Paul T. Spellman, David C. Wedge, Peter Van Loo

Nat., 2020

Effective Regularization Through Loss-Function Metalearning.

Santiago Gonzalez, Risto Miikkulainen

CoRR, 2020

Population-Based Training for Loss Function Optimization.

Jason Zhi Liang, Santiago Gonzalez, Risto Miikkulainen

CoRR, 2020

Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations.

Santiago Gonzalez, Risto Miikkulainen

CoRR, 2020

Effective reinforcement learning through evolutionary surrogate-assisted prescription.

Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization.

Santiago Gonzalez, Risto Miikkulainen

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Faster Training by Selecting Samples Using Embeddings.

Santiago Gonzalez, Joshua Landgraf, Risto Miikkulainen

Proceedings of the International Joint Conference on Neural Networks, 2019

2017

The Sticking Heartbeat Aperture Resynchronization Protocol.

Santiago Gonzalez, Tracy Camp, Katia Jaffrès-Runser

Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

CC-Log: Drastically Reducing Storage Requirements for Robots Using Classification and Compression.

Santiago Gonzalez, Vijay Chidambaram, Jivko Sinapov, Peter Stone

Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems, 2017

2015

Challenges in developing intelligent geosystems (and the pros/cons of interdisciplinary research).

Tracy Camp, Marc J. Rubin, Santiago Gonzalez

Proceedings of the International Conference on Computing, Networking and Communications, 2015