Imputing KCs with Representations of Problem Content and Context. - Zachary A. Pardos; Anant Dadu (UMAP, 2017)

GenoML: Automated Machine Learning for Genomics. - Mary B. Makarious; Hampton L. Leonard; Dan Vitale; Hirotaka Iwaki; David Saffo; Lana Sargent; Anant Dadu; Eduardo Salmerón Castaño; John F. Carter; Melina Maleknia; Juan A. Botía; Cornelis Blauwendraat; et al. (CoRR, 2021)

Application of Aligned-UMAP to longitudinal biomedical studies. - Anant Dadu; Vipul Satone; Rachneet Kaur; Mathew J. Koretsky; Hirotaka Iwaki; Yue A. Qi; Daniel M. Ramos; Brian B. Avants; Jacob Hesterman; Roger Gunn; Mark R. Cookson; Michael E. Ward; et al. (Patterns, 2023)

Multimodal Patient Representation Learning with Missing Modalities and Labels. - Zhenbang Wu; Anant Dadu; Nicholas J. Tustison; Brian B. Avants; Mike A. Nalls; Jimeng Sun 001; Faraz Faghri (ICLR, 2024)

Instruction Tuning Large Language Models to Understand Electronic Health Records. - Zhenbang Wu; Anant Dadu; Mike A. Nalls; Faraz Faghri; Jimeng Sun 001 (NeurIPS, 2024)

Federated learning for multi-omics: A performance evaluation in Parkinson's disease. - Benjamin P. Danek; Mary B. Makarious; Anant Dadu; Dan Vitale; Paul Suhwan Lee; Andrew B. Singleton; Mike A. Nalls; Jimeng Sun 001; Faraz Faghri (Patterns, 2024)

SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation. - Brandon Theodorou; Anant Dadu; Mike A. Nalls; Faraz Faghri; Jimeng Sun 001 (Patterns, 2025)