Javier González Hernández

According to our database, Javier González Hernández authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects.

Isabel Chien, Cliff Wong, Zelalem Gero, Jaspreet Bagga, Risa Ueno, Richard E. Turner, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon, Javier González Hernández

Proceedings of the Machine Learning for Healthcare Conference, 2024

Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants.

Isabel Chien, Wessel P. Bruinsma, Javier González Hernández, Richard E. Turner

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

Javier González Hernández, Cliff Wong, Zelalem Gero, Jass Bagga, Risa Ueno, Isabel Chien, Eduard Oravkin, Emre Kiciman, Aditya V. Nori, Roshanthi Weerasinghe, Rom S. Leidner, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon

CoRR, 2023

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires.

Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Max Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds

CoRR, 2023

Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants.

Isabel Chien, Javier González Hernández, Richard E. Turner

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires.

Melanie F. Pradier, Niranjani Prasad, Paidamoyo Chapfuwa, Sahra Ghalebikesabi, Maximilian Ilse, Steven Woodhouse, Rebecca Elyanow, Javier Zazo, Javier González Hernández, Julia Greissl, Edward Meeds

Proceedings of the Machine Learning for Healthcare Conference, 2023

Precision Health in the Age of Large Language Models.

Hoifung Poon, Tristan Naumann, Sheng Zhang, Javier González Hernández

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Predicting the impact of treatments over time with uncertainty aware neural differential equations.

Edward De Brouwer, Javier González Hernández, Stephanie L. Hyland

CoRR, 2022