Ellington, Caleb

8 publications

NeurIPSW 2024 A Large-Scale Foundation Model for RNA Function and Structure Prediction Shuxian Zou, Tianhua Tao, Sazan Mahbub, Caleb Ellington, Robin Jonathan Algayres, Dian Li, Yonghao Zhuang, Hongyi Wang, Le Song, Eric P. Xing

NeurIPSW 2024 Accurate and General DNA Representations Emerge from Genome Foundation Models at Scale Caleb Ellington, Ning Sun, Nicholas Ho, Tianhua Tao, Sazan Mahbub, Dian Li, Yonghao Zhuang, Hongyi Wang, Eric P. Xing, Le Song

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 2024 Scaling Dense Representations for Single Cell Gene Expression with Transcriptome-Scale Context Nicholas Ho, Caleb Ellington, Jinyu Hou, Sohan Addagudi, Shentong Mo, Tianhua Tao, Dian Li, Yonghao Zhuang, Hongyi Wang, Xingyi Cheng, Le Song, 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 Multi-Task Learning of Order-Consistent Causal Graphs Xinshi Chen, Haoran Sun, Caleb Ellington, Eric P. Xing, Le Song