1 citations · 1 across the 6 of their papers we have counts for
9 papers
Forecasting N-Body Dynamics: A Comparative Study of Neural Ordinary Differential Equations and Universal Differential Equations
Suriya R S, Prathamesh Dinesh Joshi, Rajat Dandekar +2
The n body problem, fundamental to astrophysics, simulates the motion of n bodies acting under the effect of their own mutual gravitational interactions. Traditional machine learni…
Adaptive tumor growth forecasting via neural & universal ODEs
Kavya Subramanian, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar +2
Forecasting tumor growth is critical for optimizing treatment. Classical growth models such as the Gompertz and Bertalanffy equations capture general tumor dynamics but may fail to…
Physics-Informed Neural ODEs with Scale-Aware Residuals for Learning Stiff Biophysical Dynamics
Kamalpreet Singh Kainth, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar +2
Neural differential equations offer a powerful framework for modeling continuous-time dynamics, but forecasting stiff biophysical systems remains unreliable. Standard Neural ODEs a…
EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations
Miheer Salunke, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar +2
Auditory sensory overload affects 50-70% of individuals with Autism Spectrum Disorder (ASD), yet existing approaches, such as mechanistic models (Hodgkin Huxley type, Wilson Cowan,…
A study of Universal ODE approaches to predicting soil organic carbon
Satyanarayana Raju G. V., Prathamesh Dinesh Joshi, Raj Abhijit Dandekar +2
Soil Organic Carbon (SOC) is a foundation of soil health and global climate resilience, yet its prediction remains difficult because of intricate physical, chemical, and biological…
BULL-ODE: Bullwhip Learning with Neural ODEs and Universal Differential Equations under Stochastic Demand
Nachiket N. Naik, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar +2
We study learning of continuous-time inventory dynamics under stochastic demand and quantify when structure helps or hurts forecasting of the bullwhip effect. BULL-ODE compares a f…