Scalable and accurate deep learning for electronic health records. - Alvin Rajkomar; Eyal Oren; Kai Chen 010; Andrew M. Dai; Nissan Hajaj; Peter J. Liu; Xiaobing Liu; Mimi Sun; Patrik Sundberg; Hector Yee; Kun Zhang 043; Gavin E. Duggan; et al. (CoRR, 2018)

Scalable and accurate deep learning with electronic health records. - Alvin Rajkomar; Eyal Oren; Kai Chen 010; Andrew M. Dai; Nissan Hajaj; Michaela Hardt; Peter J. Liu; Xiaobing Liu; Jake Marcus; Mimi Sun; Patrik Sundberg; Hector Yee; et al. (npj Digit. Medicine, 2018)

Modelling EHR timeseries by restricting feature interaction. - Kun Zhang 043; Yuan Xue; Gerardo Flores; Alvin Rajkomar; Claire Cui; Andrew M. Dai (CoRR, 2019)

Deep Physiological State Space Model for Clinical Forecasting. - Yuan Xue; Denny Zhou; Nan Du 002; Andrew M. Dai; Zhen Xu 006; Kun Zhang 043; Claire Cui (CoRR, 2019)

Deep State-Space Generative Model For Correlated Time-to-Event Predictions. - Yuan Xue; Denny Zhou; Nan Du 002; Andrew M. Dai; Zhen Xu 006; Kun Zhang 043; Claire Cui (KDD, 2020)

GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. - Nan Du 002; Yanping Huang; Andrew M. Dai; Simon Tong; Dmitry Lepikhin; Yuanzhong Xu; Maxim Krikun; Yanqi Zhou; Adams Wei Yu; Orhan Firat; Barret Zoph; Liam Fedus; et al. (ICML, 2022)