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Santiago 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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last updated on 2024-04-24 23:19 CEST by the dblp team
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