Rajat Dandekar

According to our database, Rajat Dandekar authored at least 27 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Beyond Passive Viewing: A Pilot Study of a Hybrid Learning Platform Augmenting Video Lectures with Conversational AI.

Mohammed Abraar, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, April, 2026

2025

Forecasting N-Body Dynamics: A Comparative Study of Neural Ordinary Differential Equations and Universal Differential Equations.

Suriya R. S, Prathamesh Dinesh Joshi, Rajat Dandekar, Raj Dandekar, Sreedath Panat

CoRR, December, 2025

Three methods, one problem: Classical and AI approaches to no-three-in-line.

Pranav Ramanathan, Thomas Prellberg, Matthew Lewis, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, December, 2025

Adaptive tumor growth forecasting via neural & universal ODEs.

Kavya Subramanian, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, November, 2025

Physics-Informed Neural ODEs with Scale-Aware Residuals for Learning Stiff Biophysical Dynamics.

Kamalpreet Singh Kainth, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedat Panat

CoRR, November, 2025

Simulating Misinformation Propagation in Social Networks using Large Language Models.

Raj Gaurav Maurya, Vaibhav Shukla, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, November, 2025

EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations.

Miheer Salunke, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, October, 2025

Muon: Training and Trade-offs with Latent Attention and MoE.

Sushant Mehta, Raj Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, September, 2025

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

CoRR, September, 2025

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

CoRR, September, 2025

Decoders Laugh as Loud as Encoders.

Eli Borodach, Raj Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, September, 2025

Vision-Language Models display a strong gender bias.

Aiswarya Konavoor, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, August, 2025

Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models.

Sushant Mehta, Raj Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, August, 2025

Physical Informed Neural Networks for modeling ocean pollutant.

Karishma Battina, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, July, 2025

Understanding Malware Propagation Dynamics through Scientific Machine Learning.

Karthik Pappu, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, July, 2025

Latent Multi-Head Attention for Small Language Models.

Sushant Mehta, Raj Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, June, 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, April, 2025

NanoVLMs: How small can we go and still make coherent Vision Language Models?

Mukund Agarwalla, Himanshu Kumar, Raj Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, February, 2025

Regional-TinyStories: A Small Language Model Framework for Evaluating Language Learning, Tokenizers, and Datasets.

Nirvan Patil, Malhar Abhay Inamdar, Agnivo Gosai, Guruprasad Pathak, Anish Joshi, Anish Joshirao, Raj Dandekar, Rajat Dandekar, Sreedath Panat

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

A Novel Scientific Machine Learning Method for Epidemiological Modelling.

Tirtha Tilak Pani, Raj Abhijit Dandekar, Prathamesh Dinesh Joshi, Rajat Dandekar, Sreedath Panat

Proceedings of the IEEE International Conference on eScience, 2025

2024

CBEval: A framework for evaluating and interpreting cognitive biases in LLMs.

Ammar Shaikh, Raj Abhijit Dandekar, Sreedath Panat, Rajat Dandekar

CoRR, 2024

Scientific machine learning in ecological systems: A study on the predator-prey dynamics.

Ranabir Devgupta, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, 2024

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

CoRR, 2024

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

CoRR, 2024

Modeling chaotic Lorenz ODE System using Scientific Machine Learning.

Sameera S. Kashyap, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, 2024

Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English.

Fiifi Dawson, Zainab Mosunmola, Sahil Pocker, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, 2024

HULLMI: Human vs LLM identification with explainability.

Prathamesh Dinesh Joshi, Sahil Pocker, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat

CoRR, 2024