Lengerich, Ben

7 publications

ICML 2024 Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning Jannik Deuschel, Caleb Ellington, Yingtao Luo, Ben Lengerich, Pascal Friederich, Eric P. Xing

NeurIPSW 2024 From One to Zero: RAG-IM Adapts Language Models for Interpretable Zero-Shot Clinical Predictions Sazan Mahbub, Caleb Ellington, Sina Alinejad, Kevin Wen, Yingtao Luo, Ben Lengerich, Eric P. Xing

NeurIPSW 2024 From One to Zero: RAG-IM Adapts Language Models for Interpretable Zero-Shot Predictions on Clinical Tabular Data Sazan Mahbub, Caleb Ellington, Sina Alinejad, Kevin Wen, Yingtao Luo, Ben Lengerich, Eric P. Xing

NeurIPSW 2023 Contextualized Networks Reveal Heterogeneous Transcriptomic Regulation in Tumors at Sample-Specific Resolution Caleb Ellington, Ben Lengerich, Thomas Watkins, Jiekun Yang, Hanxi Xiao, Manolis Kellis, Eric Xing

NeurIPS 2021 Neural Additive Models: Interpretable Machine Learning with Neural Nets Rishabh Agarwal, Levi Melnick, Nicholas Frosst, Xuezhou Zhang, Ben Lengerich, Rich Caruana, Geoffrey E. Hinton

ICMLW 2019 Every Sample a Task: Pushing the Limits of Heterogeneous Models with Personalized Regression Ben Lengerich, Bryon Aragam, Eric Xing

NeurIPS 2019 Learning Sample-Specific Models with Low-Rank Personalized Regression Ben Lengerich, Bryon Aragam, Eric P Xing