Thomas Desautels

According to our database, Thomas Desautels authored at least 9 papers between 2012 and 2025.

Collaborative distances:

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

2025

Language model-accelerated deep symbolic optimization.

Felipe Leno da Silva, Andre R. Goncalves, Sam Nguyen, Denis Vashchenko, Ruben Glatt, Thomas Desautels, Mikel Landajuela, Daniel M. Faissol, Brenden K. Petersen

Neural Comput. Appl., November, 2025

Deep Symbolic Optimization: Reinforcement Learning for Symbolic Mathematics.

Conor F. Hayes, Felipe Leno da Silva, Jiachen Yang, T. Nathan Mundhenk, Chak Shing Lee, Jacob F. Pettit, Claudio Santiago, Sookyung Kim, Joanne Taery Kim, Ignacio Aravena Solis, Ruben Glatt, Andre R. Goncalves, Alexander Ladd, Ahmet Can Solak, Thomas Desautels, Daniel M. Faissol, Brenden K. Petersen, Mikel Landajuela

CoRR, May, 2025

Design of cross-reactive antigens with machine learning and high-throughput experimental evaluation.

Chelsy Chesterman, Thomas Desautels, Luz-Jeannette Sierra, Kathryn T. Arrildt, Adam T. Zemla, Edmond Y. Lau, Shivshankar Sundaram, Jason Laliberte, Lynn Chen, Aaron Ruby, Mark Mednikov, Sylvie Bertholet, Dong Yu, Kate Luisi, Enrico Malito, Corey P. Mallett, Matthew J. Bottomley, Robert A. van den Berg, Daniel M. Faissol

Frontiers Bioinform., 2025

Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition.

Fengxue Zhang, Thomas Desautels, Yuxin Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Practical Bayesian Algorithm Execution via Posterior Sampling.

Chu Xin Cheng, Raul Astudillo, Thomas A. Desautels, Yisong Yue

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation.

Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen

Proceedings of the International Conference on Machine Learning, 2023

2016

A computational approach to mortality prediction of alcohol use disorder inpatients.

Jacob S. Calvert, Qingqing Mao, Angela J. Rogers, Christopher W. Barton, Melissa Jay, Thomas Desautels, Hamid Mohamadlou, Jasmine Jan, Ritankar Das

Comput. Biol. Medicine, 2016

2015

An Active Learning Algorithm for Control of Epidural Electrostimulation.

Thomas A. Desautels, JaeHoon Choe, Parag Gad, Mandheerej S. Nandra, Roland R. Roy, Hui Zhong, Yu-Chong Tai, V. Reggie Edgerton, Joel W. Burdick

IEEE Trans. Biomed. Eng., 2015

2012

Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization.

Thomas Desautels, Andreas Krause, Joel W. Burdick

Proceedings of the 29th International Conference on Machine Learning, 2012