37 citations · 42 across the 5 of their papers we have counts for
5 papers
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems
Pratyush Bhatt, Yash Kumar, Azzeddine Soulaimani
Physical systems whose dynamics are governed by partial differential equations (PDEs) find applications in numerous fields, from engineering design to weather forecasting. The proc…
Energy networks for state estimation with random sensors using sparse labels
Yash Kumar, Souvik Chakraborty
State estimation is required whenever we deal with high-dimensional dynamical systems, as the complete measurement is often unavailable. It is key to gaining insight, performing co…
ML-Based Analysis to Identify Speech Features Relevant in Predicting Alzheimer's Disease
Yash Kumar, Piyush Maheshwari, Shreyansh Joshi +1
Alzheimer's disease (AD) is a neurodegenerative disease that affects nearly 50 million individuals across the globe and is one of the leading causes of deaths globally. It is proje…
GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations
Yash Kumar, Souvik Chakraborty
The physical world is governed by the laws of physics, often represented in form of nonlinear partial differential equations (PDEs). Unfortunately, solution of PDEs is non-trivial…
State estimation with limited sensors -- A deep learning based approach
Yash Kumar, Pranav Bahl, Souvik Chakraborty
The importance of state estimation in fluid mechanics is well-established; it is required for accomplishing several tasks including design/optimization, active control, and future…