Bayesian Neural Ordinary Differential Equations. - Raj Dandekar; Vaibhav Dixit; Mohamed Tarek; Aslan Garcia-Valadez; Christopher Rackauckas (CoRR, 2020)

A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread. - Raj Dandekar; Christopher Rackauckas; George Barbastathis (Patterns, 2020)

Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics. - Raj Dandekar; Shane G. Henderson; Hermanus M. Jansen; Joshua McDonald; Sarat Babu Moka; Yoni Nazarathy; Christopher Rackauckas; Peter G. Taylor; Aapeli Vuorinen (Patterns, 2021)

NanoVLMs: How small can we go and still make coherent Vision Language Models? - Mukund Agarwalla; Himanshu Kumar; Raj Dandekar; Rajat Dandekar; Sreedath Panat (CoRR, 2025)

Regional Tiny Stories: Using Small Models to Compare Language Learning and Tokenizer Performance. - Nirvan Patil; Malhar Abhay Inamdar; Agnivo Gosai; Guruprasad Pathak; Anish Joshi; Aryan Sagavekar; Anish Joshirao; Raj Dandekar; Rajat Dandekar; Sreedath Panat (CoRR, 2025)

Latent Multi-Head Attention for Small Language Models. - Sushant Mehta; Raj Dandekar; Rajat Dandekar; Sreedath Panat (CoRR, 2025)

Model-Grounded Symbolic Artificial Intelligence Systems Learning and Reasoning with Model-Grounded Symbolic Artificial Intelligence Systems. - Aniruddha Chattopadhyay; Raj Dandekar; Kaushik Roy (CoRR, 2025)