Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
NeurIPS 2024 | August 2024
Javier González
Principal Researcher
Publications
Publications by Year
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A whole-slide foundation model for digital pathology from real-world data
Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
Nature | May 2024
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Predicting the impact of treatments over time with uncertainty aware neural differential equations
Edward De Brouwer, Javier González, Stephanie Hyland
International Conference on Artificial Intelligence and Statistics (AISTATS 2022) | February 2022
Learning Inconsistent Preferences with Gaussian Processes
Siu Lun Chau, Javier González, Dino Sejdinovic
International Conference on Artificial Intelligence and Statistics (AISTATS 2022) | January 2022
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BayesIMP: Uncertainty Quantification for Causal Data Fusion
Siu Lun Chau, Jean-Francois Ton, Javier González, Yee The, Dino Sejdinovic
Neural Information Processing Systems (NeurIPS 2021) | December 2021
Dynamic Causal Bayesian Optimization
Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
Neural Information Processing Systems (NeurIPS 2021) | November 2021
GIBBON: General-purpose Information-Based Bayesian Optimisation
Henry B. Moss, David S. Leslie, Javier González, Paul Rayson
Journal of Machine Learning Research | October 2021, Vol 22(235): pp. 1-49
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Multi-task Causal Learning with Gaussian Processes
Virgina Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González
Neural Information Processing Systems (NeurIPS 2020) | October 2020
BOSS: Bayesian Optimization over String Spaces
Henry B. Moss, Daniel Beck, Javier González, David S. Leslie, Paul Rayson
Neural Information Processing Systems (NeurIPS 2020) | August 2020
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design
Roman Garnett, Henry Chai, Javier González, Shali Jiang
International Conference on Machine Learning (ICML 2020) | June 2020
Publications by Research Area
-
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
NeurIPS 2024 | August 2024
A whole-slide foundation model for digital pathology from real-world data
Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
Nature | May 2024
Predicting the impact of treatments over time with uncertainty aware neural differential equations
Edward De Brouwer, Javier González, Stephanie Hyland
International Conference on Artificial Intelligence and Statistics (AISTATS 2022) | February 2022
Learning Inconsistent Preferences with Gaussian Processes
Siu Lun Chau, Javier González, Dino Sejdinovic
International Conference on Artificial Intelligence and Statistics (AISTATS 2022) | January 2022
BayesIMP: Uncertainty Quantification for Causal Data Fusion
Siu Lun Chau, Jean-Francois Ton, Javier González, Yee The, Dino Sejdinovic
Neural Information Processing Systems (NeurIPS 2021) | December 2021
Dynamic Causal Bayesian Optimization
Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
Neural Information Processing Systems (NeurIPS 2021) | November 2021
GIBBON: General-purpose Information-Based Bayesian Optimisation
Henry B. Moss, David S. Leslie, Javier González, Paul Rayson
Journal of Machine Learning Research | October 2021, Vol 22(235): pp. 1-49
Multi-task Causal Learning with Gaussian Processes
Virgina Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González
Neural Information Processing Systems (NeurIPS 2020) | October 2020
BOSS: Bayesian Optimization over String Spaces
Henry B. Moss, Daniel Beck, Javier González, David S. Leslie, Paul Rayson
Neural Information Processing Systems (NeurIPS 2020) | August 2020
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design
Roman Garnett, Henry Chai, Javier González, Shali Jiang
International Conference on Machine Learning (ICML 2020) | June 2020
-
A whole-slide foundation model for digital pathology from real-world data
Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
Nature | May 2024
Publications by Type
-
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
NeurIPS 2024 | August 2024
Predicting the impact of treatments over time with uncertainty aware neural differential equations
Edward De Brouwer, Javier González, Stephanie Hyland
International Conference on Artificial Intelligence and Statistics (AISTATS 2022) | February 2022
Learning Inconsistent Preferences with Gaussian Processes
Siu Lun Chau, Javier González, Dino Sejdinovic
International Conference on Artificial Intelligence and Statistics (AISTATS 2022) | January 2022
BayesIMP: Uncertainty Quantification for Causal Data Fusion
Siu Lun Chau, Jean-Francois Ton, Javier González, Yee The, Dino Sejdinovic
Neural Information Processing Systems (NeurIPS 2021) | December 2021
Dynamic Causal Bayesian Optimization
Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
Neural Information Processing Systems (NeurIPS 2021) | November 2021
Multi-task Causal Learning with Gaussian Processes
Virgina Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González
Neural Information Processing Systems (NeurIPS 2020) | October 2020
BOSS: Bayesian Optimization over String Spaces
Henry B. Moss, Daniel Beck, Javier González, David S. Leslie, Paul Rayson
Neural Information Processing Systems (NeurIPS 2020) | August 2020
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design
Roman Garnett, Henry Chai, Javier González, Shali Jiang
International Conference on Machine Learning (ICML 2020) | June 2020
-
A whole-slide foundation model for digital pathology from real-world data
Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, Sheng Zhang, Rajesh Rao, Tristan Naumann, Cliff Wong, Zelalem Gero, Javier González, Yu Gu, Yanbo Xu, Mu-Hsin Wei, Wenhui Wang, Shuming Ma, Furu Wei, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Jaylen Rosemon, Tucker Bower, Soohee Lee, R. Weerasinghe, Bill Wright, Ari Robicsek, Brian Piening, Carlo Bifulco, Sheng Wang, Hoifung Poon
Nature | May 2024
GIBBON: General-purpose Information-Based Bayesian Optimisation
Henry B. Moss, David S. Leslie, Javier González, Paul Rayson
Journal of Machine Learning Research | October 2021, Vol 22(235): pp. 1-49