Scaling recurrent neural network language models. - Will Williams; Niranjani Prasad; David Mrva; Tom Ash; Tony Robinson (ICASSP, 2015)

A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units. - Niranjani Prasad; Li-Fang Cheng; Corey Chivers; Michael Draugelis; Barbara E. Engelhardt (UAI, 2017)

An Optimal Policy for Patient Laboratory Tests in Intensive Care Units. - Li-Fang Cheng; Niranjani Prasad; Barbara E. Engelhardt (PSB, 2019)

Defining Admissible Rewards for High Confidence Policy Evaluation. - Niranjani Prasad; Barbara E. Engelhardt; Finale Doshi-Velez (CoRR, 2019)

Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning. - Niranjani Prasad; Barbara E. Engelhardt; Finale Doshi-Velez (CHIL, 2020)

Methods for Reinforcement Learning in Clinical Decision Support - Niranjani Prasad (2020)

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. - Melanie F. Pradier; Niranjani Prasad; Paidamoyo Chapfuwa; Sahra Ghalebikesabi; Maximilian Ilse; Steven Woodhouse; Rebecca Elyanow; Javier Zazo; Javier González Hernández; Julia Greissl; Edward Meeds (MLHC, 2023)

AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires. - Melanie F. Pradier; Niranjani Prasad; Paidamoyo Chapfuwa; Sahra Ghalebikesabi; Max Ilse; Steven Woodhouse; Rebecca Elyanow; Javier Zazo; Javier González Hernández; Julia Greissl; Edward Meeds (CoRR, 2023)