Niranjani Prasad

According to our database, Niranjani Prasad authored at least 11 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task.

Alicia Curth, Rachel Lawrence, Sushrut Karmalkar, Niranjani Prasad

CoRR, April, 2026

Better Think Thrice: Learning to Reason Causally with Double Counterfactual Consistency.

Victoria Lin, Xinnuo Xu, Rachel Lawrence, Risa Ueno, Amit Sharma, Javier González, Niranjani Prasad

CoRR, February, 2026

2025

Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing.

Iskander Azangulov, Teodora Pandeva, Niranjani Prasad, Javier Zazo, Sushrut Karmalkar

CoRR, October, 2025

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

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

Proceedings of the Machine Learning for Healthcare Conference, 2023

2020

Methods for Reinforcement Learning in Clinical Decision Support

Niranjani Prasad

PhD thesis, 2020

Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning.

Niranjani Prasad, Barbara E. Engelhardt, Finale Doshi-Velez

Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019

Defining Admissible Rewards for High Confidence Policy Evaluation.

Niranjani Prasad, Barbara E. Engelhardt, Finale Doshi-Velez

CoRR, 2019

An Optimal Policy for Patient Laboratory Tests in Intensive Care Units.

Li-Fang Cheng, Niranjani Prasad, Barbara E. Engelhardt

Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

2017

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

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2015

Scaling recurrent neural network language models.

Will Williams, Niranjani Prasad, David Mrva, Tom Ash, Tony Robinson

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015