Muralidhar, Nikhil

6 publications

ICLR 2025 Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout Bharat Srikishan, Daniel O'Malley, Mohamed Mehana, Nicholas Lubbers, Nikhil Muralidhar

AAAI 2024 Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation Bharat Srikishan, Anika Tabassum, Srikanth Allu, Ramakrishnan Kannan, Nikhil Muralidhar

NeurIPSW 2022 Knowledge-Guided Transfer Learning for Modeling Subsurface Phenomena Under Data Paucity Nikhil Muralidhar, Nicholas Lubbers, Mohamed Mehana, Naren Ramakrishnan, Anuj Karpatne

NeurIPSW 2022 Li-Ion Battery Material Phase Prediction Through Hierarchical Curriculum Learning Anika Tabassum, Nikhil Muralidhar, Ramakrishnan Kannan, Srikanth Allu

AAAI 2021 Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19 Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash

IJCAI 2019 DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan