On NeuroSymbolic Solutions for PDEs. - Ritam Majumdar; Vishal Jadhav; Anirudh Deodhar; Shirish Karande 001; Lovekesh Vig (CoRR, 2022)

Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs. - Ritam Majumdar; Vishal Jadhav; Anirudh Deodhar; Shirish Karande 001; Lovekesh Vig; Venkataramana Runkana (CoRR, 2022)

Symbolic Regression for PDEs using Pruned Differentiable Programs. - Ritam Majumdar; Vishal Jadhav; Anirudh Deodhar; Shirish Karande 001; Lovekesh Vig; Venkataramana Runkana (CoRR, 2023)

DeepEpiSolver: Unravelling Inverse problems in Covid, HIV, Ebola and Disease Transmission. - Ritam Majumdar; Shirish Karande 001; Lovekesh Vig (CoRR, 2023)

HyperLoRA for PDEs. - Ritam Majumdar; Vishal Jadhav; Anirudh Deodhar; Shirish Karande 001; Lovekesh Vig; Venkataramana Runkana (CoRR, 2023)

How important are specialized transforms in Neural Operators? - Ritam Majumdar; Shirish Karande 001; Lovekesh Vig (CoRR, 2023)

Redefining Super-Resolution: Fine-mesh PDE predictions without classical simulations. - Rajat Kumar Sarkar; Ritam Majumdar; Vishal Jadhav; Sakhinana Sagar Srinivas 001; Venkataramana Runkana (CoRR, 2023)

Can Physics Informed Neural Operators Self Improve? - Ritam Majumdar; Amey Varhade; Shirish S. Karande; Lovekesh Vig (CoRR, 2023)

Concept-driven Off Policy Evaluation. - Ritam Majumdar; Jack Teversham; Sonali Parbhoo (CoRR, 2024)

Improving ARDS Diagnosis Through Context-Aware Concept Bottleneck Models. - Anish Narain; Ritam Majumdar; Nikita Narayanan; Dominic Marshall; Sonali Parbhoo (CoRR, 2025)