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Papers
Our Publications
10 papers across AI, ML, Scientific Computing, and more.
2025
arXiv, JuliaCon 2025
Physical Informed Neural Networks for modeling ocean pollutant
Karishma Battina, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
arXiv
BULL-ODE: Bullwhip Learning with Neural ODEs and Universal Differential Equations under Stochastic Demand
Nachiket N Naik, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
arXiv
Muon: Training and Trade-offs with Latent Attention and MoE
Sushant Mehta, Raj Dandekar, Rajat Dandekar, Sreedath Panat
arXiv, EGU'26
A study of Universal ODE approaches to predicting soil organic carbon
Satyanarayana Raju G V V, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
arXiv
Understanding Malware Propagation Dynamics through Scientific Machine Learning
Karthik Pappu, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
2024
arXiv
Scientific machine learning in ecological systems: A study on the predator-prey dynamics
Ranabir Devgupta, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
arXiv
Modeling chaotic Lorenz ODE System using Scientific Machine Learning
Sameera S Kashyap, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
arXiv
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles
Sharv Murgai, Hrishikesh Bhagwat, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
arXiv
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation
Raymundo Vazquez Martinez, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat
2020
arXiv
Bayesian neural ordinary differential equations
Raj Dandekar, Karen Chung, Vaibhav Dixit, Mohamed Tarek, Aslan Garcia-Valadez, Krishna Vishal Vemula, Chris Rackauckas