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Time-Aware Deep Sequential Models for In-Hospital Code Blue Prediction using Monitor Alarms
Nirbhay Modhe, Ran Xiao, Matthew Clark, Cheng Ding, Duc Do, Randall Lee, Timothy Ruchti, Xiao Hu
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Time-Aware Deep Sequential Models for In-Hospital Code Blue Prediction using Monitor Alarms
Assessing the Generalizability of Pre-trained Predictive Models for Hemorrhage, Emergent Intubation, and Sepsis to Predict In-hospital Cardiac Arrest
Ran Xiao, Matthew Clark, Delgersuren Bold, Cheng Ding, Nirbhay Modhe, Timothy Ruchti, Xiao Hu
Characterizing trending features in time-series prediction of clinical event onset
Ran Xiao, Matthew Clark, Nirbhay Modhe, Cheng Ding, Delgersuren Bold, Timothy Ruchti, Xiao Hu
Bridging Worlds in Reinforcement Learning with Model-Advantage
Nirbhay Modhe, Harish Kamath, Dhruv Batra, Ashwin Kalyan
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Bridging Worlds in Reinforcement Learning with Model-Advantage
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra
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IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
Scalable Generative Models for Multi-label Learning with Missing Labels
Nirbhay Modhe, Vikas Jain, Piyush Rai
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Scalable Generative Models for Multi-label Learning with Missing Labels