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ORCIDSantiago Gonzalez
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2020 – today
- 2021
[c8]Santiago Gonzalez, Risto Miikkulainen:
Optimizing loss functions through multi-variate taylor polynomial parameterization. GECCO 2021: 305-313- [c7]Jason Zhi Liang, Santiago Gonzalez, Hormoz Shahrzad, Risto Miikkulainen:
Regularized evolutionary population-based training. GECCO 2021: 323-331 - [i6]Santiago Gonzalez, Mohak Kant, Risto Miikkulainen:
Evolving GAN Formulations for Higher Quality Image Synthesis. CoRR abs/2102.08578 (2021) - 2020
- [j1]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:
The evolutionary history of 2,658 cancers. Nat. 578(7793): 122-128 (2020) - [c6]Santiago Gonzalez, Risto Miikkulainen:
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. CEC 2020: 1-8 - [c5]Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad:
Effective reinforcement learning through evolutionary surrogate-assisted prescription. GECCO 2020: 814-822 - [i5]Santiago Gonzalez, Risto Miikkulainen:
Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations. CoRR abs/2002.00059 (2020) - [i4]Jason Zhi Liang, Santiago Gonzalez, Risto Miikkulainen:
Population-Based Training for Loss Function Optimization. CoRR abs/2002.04225 (2020) - [i3]Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad:
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription. CoRR abs/2002.05368 (2020) - [i2]Santiago Gonzalez, Risto Miikkulainen:
Effective Regularization Through Loss-Function Metalearning. CoRR abs/2010.00788 (2020)
2010 – 2019
- 2019
- [c4]Santiago Gonzalez, Joshua Landgraf, Risto Miikkulainen:
Faster Training by Selecting Samples Using Embeddings. IJCNN 2019: 1-7 - [i1]Santiago Gonzalez, Risto Miikkulainen:
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. CoRR abs/1905.11528 (2019) - 2017
- [c3]Santiago Gonzalez, Vijay Chidambaram, Jivko Sinapov, Peter Stone:
CC-Log: Drastically Reducing Storage Requirements for Robots Using Classification and Compression. HotStorage 2017 - [c2]Santiago Gonzalez, Tracy Camp, Katia Jaffrès-Runser:
The Sticking Heartbeat Aperture Resynchronization Protocol. ICCCN 2017: 1-8 - 2015
- [c1]Tracy Camp, Marc J. Rubin, Santiago Gonzalez:
Challenges in developing intelligent geosystems (and the pros/cons of interdisciplinary research). ICNC 2015: 591-597
Coauthor Index
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