Incorporating prior information into association studies. - Gregory Darnell; Dat Duong; Buhm Han; Eleazar Eskin (Bioinform., 2012)

Adaptive Randomized Dimension Reduction on Massive Data. - Gregory Darnell; Stoyan Georgiev; Sayan Mukherjee 001; Barbara E. Engelhardt (J. Mach. Learn. Res., 2017)

Statistical tests for detecting variance effects in quantitative trait studies. - Bianca Dumitrascu; Gregory Darnell; Julien Ayroles; Barbara E. Engelhardt (Bioinform., 2019)

Generalizing Variational Autoencoders with Hierarchical Empirical Bayes. - Wei Cheng; Gregory Darnell; Sohini Ramachandran; Lorin Crawford (CoRR, 2020)

Sparse multi-output Gaussian processes for online medical time series prediction. - Li-Fang Cheng; Bianca Dumitrascu; Gregory Darnell; Corey Chivers; Michael Draugelis; Kai Li 001; Barbara E. Engelhardt (BMC Medical Informatics Decis. Mak., 2020)

PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. - Jiacheng Zhu; Gregory Darnell; Agni Kumar; Ding Zhao; Bo Li 026; XuanLong Nguyen; Shirley You Ren (CHIL, 2022)

Latent Temporal Flows for Multivariate Analysis of Wearables Data. - Magda Amiridi; Gregory Darnell; Sean Jewell (MLHC, 2022)

Modeling personalized heart rate response to exercise and environmental factors with wearables data. - Achille Nazaret; Sana Tonekaboni; Gregory Darnell; Shirley You Ren; Guillermo Sapiro; Andrew C. Miller (npj Digit. Medicine, 2023)

RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data. - Maxwell A. Xu; Jaya Narain; Gregory Darnell; Haraldur Tómas Hallgrímsson; Hyewon Jeong; Darren Forde; Richard Andres Fineman; Karthik Jayaraman Raghuram; James Matthew Rehg; Shirley You Ren (ICLR, 2025)