Javier González

Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation

Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González

ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025

PDF

Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models

Javier González, Aditya Nori

NeurIPS 2024 | August 2024

DOI Publication Publication

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

Publication DOI Publication

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon

ArXiv | November 2023, Vol abs/2311.01301

DOI Publication Publication

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

Publication

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

Publication

Dynamic Causal Bayesian Optimization

Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas

Neural Information Processing Systems (NeurIPS 2021) | November 2021

Publication

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

PDF Publication Publication Publication Publication

Multi-task Causal Learning with Gaussian Processes

Virgina Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González

Neural Information Processing Systems (NeurIPS 2020) | October 2020

Publication

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

Publication

BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design

Roman Garnett, Henry Chai, Javier González, Shali Jiang

International Conference on Machine Learning (ICML 2020) | June 2020

Publication

Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation

Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González

ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025

PDF

Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models

Javier González, Aditya Nori

NeurIPS 2024 | August 2024

DOI Publication Publication

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

Publication DOI Publication

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon

ArXiv | November 2023, Vol abs/2311.01301

DOI Publication Publication

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

Publication

Learning Inconsistent Preferences with Gaussian Processes

Siu Lun Chau, Javier González, Dino Sejdinovic

International Conference on Artificial Intelligence and Statistics (AISTATS 2022) | January 2022

PDF

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

Publication

Dynamic Causal Bayesian Optimization

Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas

Neural Information Processing Systems (NeurIPS 2021) | November 2021

Publication

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

PDF Publication Publication Publication Publication

Multi-task Causal Learning with Gaussian Processes

Virgina Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González

Neural Information Processing Systems (NeurIPS 2020) | October 2020

Publication

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

Publication

BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design

Roman Garnett, Henry Chai, Javier González, Shali Jiang

International Conference on Machine Learning (ICML 2020) | June 2020

Publication

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

Publication DOI Publication

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon

ArXiv | November 2023, Vol abs/2311.01301

DOI Publication Publication

Re-Imagine: Symbolic Benchmark Synthesis for Reasoning Evaluation

Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Fabian Falck, Risa Ueno, Aditya Nori, Rahul Sharma, Amit Sharma, Javier González

ICLR 2025 - Workshop on Reasoning and Planning for LLMs | March 2025

PDF

Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models

Javier González, Aditya Nori

NeurIPS 2024 | August 2024

DOI Publication Publication

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

Publication

Learning Inconsistent Preferences with Gaussian Processes

Siu Lun Chau, Javier González, Dino Sejdinovic

International Conference on Artificial Intelligence and Statistics (AISTATS 2022) | January 2022

PDF

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

Publication

Dynamic Causal Bayesian Optimization

Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas

Neural Information Processing Systems (NeurIPS 2021) | November 2021

Publication

Multi-task Causal Learning with Gaussian Processes

Virgina Aglietti, Theodoros Damoulas, Mauricio A. Álvarez, Javier González

Neural Information Processing Systems (NeurIPS 2020) | October 2020

Publication

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

Publication

BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design

Roman Garnett, Henry Chai, Javier González, Shali Jiang

International Conference on Machine Learning (ICML 2020) | June 2020

Publication

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

Publication DOI Publication

TRIALSCOPE: A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models

Javier González, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Isabel Chien, Eduard Orakvin, Emre Kiciman, Aditya Nori, R. Weerasinghe, R. Leidner, B. Piening, Tristan Naumann, C. Bifulco, Hoifung Poon

ArXiv | November 2023, Vol abs/2311.01301

DOI Publication Publication

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

PDF Publication Publication Publication Publication