Multi-task learning of order-consistent causal graphs X Chen, H Sun, C Ellington, E Xing, L Song Advances in Neural Information Processing Systems 34, 11083-11095, 2021 | 13 | 2021 |
Automated interpretable discovery of heterogeneous treatment effectiveness: A COVID-19 case study BJ Lengerich, ME Nunnally, Y Aphinyanaphongs, C Ellington, R Caruana Journal of biomedical informatics 130, 104086, 2022 | 7 | 2022 |
Contextualized machine learning B Lengerich, CN Ellington, A Rubbi, M Kellis, EP Xing arXiv preprint arXiv:2310.11340, 2023 | 2 | 2023 |
NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and Parameters B Lengerich, C Ellington, B Aragam, EP Xing, M Kellis arXiv preprint arXiv:2111.01104, 2021 | 2 | 2021 |
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning J Deuschel, CN Ellington, BJ Lengerich, Y Luo, P Friederich, EP Xing arXiv preprint arXiv:2310.07918, 2023 | 1 | 2023 |
Contextualized Networks Reveal Heterogeneous Transcriptomic Regulation in Tumors at Sample-Specific Resolution CN Ellington, BJ Lengerich, TBK Watkins, J Yang, H Xiao, M Kellis, ... bioRxiv, 2023.12. 01.569658, 2023 | 1 | 2023 |
Contextualized: Heterogeneous Modeling Toolbox CN Ellington, BJ Lengerich, W Lo, A Alvarez, A Rubbi, M Kellis, EP Xing Journal of Open Source Software 9 (97), 6469, 2024 | | 2024 |
AttentionPert: Accurately Modeling Multiplexed Genetic Perturbations with Multi-scale Effects D Bai, C Ellington, S Mo, L Song, E Xing bioRxiv, 2024.02. 02.578656, 2024 | | 2024 |
Machine Learning for Health (ML4H) 2023 S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ... Machine Learning for Health (ML4H), 1-12, 2023 | | 2023 |
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium S Hegselmann, H Zhou, Y Zhou, J Chien, S Nagaraj, N Hulkund, S Bhave, ... | | |