3 citations · 8 across the 5 of their papers we have counts for
5 papers
How important are specialized transforms in Neural Operators?
Ritam Majumdar, Shirish Karande, Lovekesh Vig
Simulating physical systems using Partial Differential Equations (PDEs) has become an indispensible part of modern industrial process optimization. Traditionally, numerical solvers…
DeepEpiSolver: Unravelling Inverse problems in Covid, HIV, Ebola and Disease Transmission
Ritam Majumdar, Shirish Karande, Lovekesh Vig
The spread of many infectious diseases is modeled using variants of the SIR compartmental model, which is a coupled differential equation. The coefficients of the SIR model determi…
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs
Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar +3
We demonstrate a Physics-informed Neural Network (PINN) based model for real-time health monitoring of a heat exchanger, that plays a critical role in improving energy efficiency o…
Physics Informed Symbolic Networks
Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar +3
We introduce Physics Informed Symbolic Networks (PISN) which utilize physics-informed loss to obtain a symbolic solution for a system of Partial Differential Equations (PDE). Given…
On the Capacity Improvement of Multicast Traffic with Network Coding
Zheng Wang, Shirish Karande, Hamid R. Sadjadpour +1
In this paper, we study the contribution of network coding (NC) in improving the multicast capacity of random wireless ad hoc networks when nodes are endowed with multi-packet tran…