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Papers
Our Publications
11 papers across AI, ML, Scientific Computing, and more.
2026
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ICLR 2026 Workshop on AI and Partial Differential Equations
When Does Physics Help? A Systematic Study of Physics-Guided Learning for Robotic Contact Dynamics
CHINMAYEE PRABHAKAR, Prathamesh Dinesh Joshi, Raj Dandekar, Rajat Dandekar, Sreedath Panat
2025
Second Workshop on XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge
CLIMASIM—Climate Simulation with Scientific Machine Learning
Tirtha Tilak Pani, Prathamesh Dinesh Joshi, Raj Dandekar, Sreedath Panat, Rajat Dandekar
Research Square
A Comparative Study of Neural ODE and Universal ODE Approaches to Solving the SIQRDV Epidemiological Model
Banashree Ghosh, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
Second Workshop on XAI4Science: From Understanding Model Behavior to Discovering New Scientific Knowledge
Forecasting N-Body Dynamics: A Comparative Study of Neural Ordinary Differential Equations and Universal Differential Equations
RS Suriya, Prathamesh Dinesh Joshi, Rajat Dandekar, Raj Dandekar, Sreedath Panat
NeurIPS 2025 ML4PS Workshop
PI-NAV: Physics-Informed Universal Differential Equations for Enhanced Nanorobot Navigation through Complex Bio-environments
NS Tarushri, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
NeurIPS 2025 AI for Science Workshop
Physics-Informed Learning Near Critical Transitions: A Comparative Study of UDEs and Neural ODEs
Urvi Mahendra Bora, Prathamesh Dinesh Joshi, Raj Dandekar, Rajat Dandekar, Sreedath Panat
2025 IEEE International Conference on eScience (eScience)
A Novel Scientific Machine Learning Method for Epidemiological Modelling
Tirtha Tilak Pani, Raj Abhijit Dandekar, Prathamesh Dinesh Joshi, Rajat Dandekar, Sreedath Panat
NeurIPS 2025 AI for Science Workshop
Scientific Machine Learning for Symbolic Recovery of Relativistic Effects in Black Hole Orbits
Pothuraju Naveen Yadav, Prathamesh Dinesh Joshi, Raj Dandekar, Rajat Dandekar, Sreedath Panat, Dinesh Kumar Vishwakarma
JuliaCon 2025, arXiv
Adaptive tumor growth forecasting via neural & universal ODEs
Kavya Subramanian, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
2022
SAND2022
Model-form epistemic uncertainty quantification for modeling with differential equations: Application to epidemiology
Erin Acquesta, Teresa Portone, Raj Dandekar, Chris Rackauckas, Rileigh Bandy, Gabriel Huerta
2021
Research Article Implications of Delayed Reopening in Controlling the COVID-19 Surge in Southern and West-Central USA
Raj Dandekar, Emma Wang, George Barbastathis, Chris Rackauckas