Operationally-Informed Hospital-Wide Discharge Prediction Using Machine Learning. - Andrew Ward; Ariana J. Mann; Jacqueline Vallon; Gabriel J. Escobar; Nicholas Bambos; Alejandro Schuler (HealthCom, 2020)

Distributed Distillation for On-Device Learning. - Ilai Bistritz; Ariana J. Mann; Nicholas Bambos (NeurIPS, 2020)

Power-Optimized Processor Slowdown Control. - Ariana J. Mann; Nicholas Bambos (CDC, 2022)

Framed Projective Cone Scheduling: Latency vs. Context-Switching Tradeoff in Data Centers. - Emi Zeger; Ariana J. Mann; Nicholas Bambos (GLOBECOM, 2022)

Weak-Supervision for Prolonged Hospital Length of Stay Prediction. - Ariana J. Mann; Nicholas Bambos (HealthCom, 2022)

Active Testing for an Emerging Epidemic. - Ariana J. Mann; Ilai Bistritz; Nicholas Bambos (HealthCom, 2022)

Power-Controlled Job Slowdown in Data Centers. - Ariana J. Mann; Nicholas Bambos (ICC, 2022)

Exploratory analysis of novel electronic health record variables for quantification of healthcare delivery strain, prediction of mortality, and prediction of imminent discharge. - Catherine Lee; Brian L. Lawson; Ariana J. Mann; Vincent X. Liu; Laura C. Myers; Alejandro Schuler; Gabriel J. Escobar (J. Am. Medical Informatics Assoc., 2022)