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2020 – today
- 2025
[c2]Tirtha Tilak Pani, Raj Abhijit Dandekar, Prathamesh Dinesh Joshi, Rajat Dandekar, Sreedath Panat:
A Novel Scientific Machine Learning Method for Epidemiological Modelling. eScience 2025: 296-304- [c1]Nirvan Patil, Malhar Abhay Inamdar, Agnivo Gosai, Guruprasad Pathak, Anish Joshi, Anish Joshirao, Raj Dandekar, Rajat Dandekar, Sreedath Panat:
Regional-TinyStories: A Small Language Model Framework for Evaluating Language Learning, Tokenizers, and Datasets. IJCNLP-AACL (Findings) 2025: 2318-2367 - [i24]Mukund Agarwalla, Himanshu Kumar, Raj Dandekar, Rajat Dandekar, Sreedath Panat:
NanoVLMs: How small can we go and still make coherent Vision Language Models? CoRR abs/2502.07838 (2025) - [i23]Nirvan Patil, Malhar Abhay Inamdar, Agnivo Gosai, Guruprasad Pathak, Anish Joshi, Aryan Sagavekar, Anish Joshirao, Raj Dandekar, Rajat Dandekar, Sreedath Panat:
Regional Tiny Stories: Using Small Models to Compare Language Learning and Tokenizer Performance. CoRR abs/2504.07989 (2025) - [i22]Sushant Mehta, Raj Dandekar, Rajat Dandekar, Sreedath Panat:
Latent Multi-Head Attention for Small Language Models. CoRR abs/2506.09342 (2025) - [i21]Karthik Pappu, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
Understanding Malware Propagation Dynamics through Scientific Machine Learning. CoRR abs/2507.07143 (2025) - [i20]Karishma Battina, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
Physical Informed Neural Networks for modeling ocean pollutant. CoRR abs/2507.08834 (2025) - [i19]Sushant Mehta, Raj Dandekar, Rajat Dandekar, Sreedath Panat:
Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models. CoRR abs/2508.01261 (2025) - [i18]Aiswarya Konavoor, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
Vision-Language Models display a strong gender bias. CoRR abs/2508.11262 (2025) - [i17]Eli Borodach, Raj Dandekar, Rajat Dandekar, Sreedath Panat:
Decoders Laugh as Loud as Encoders. CoRR abs/2509.04779 (2025) - [i16]Nachiket N. Naik, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
BULL-ODE: Bullwhip Learning with Neural ODEs and Universal Differential Equations under Stochastic Demand. CoRR abs/2509.18105 (2025) - [i15]Satyanarayana Raju G. V. V, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
A study of Universal ODE approaches to predicting soil organic carbon. CoRR abs/2509.24306 (2025) - [i14]Sushant Mehta, Raj Dandekar, Rajat Dandekar, Sreedath Panat:
Muon: Training and Trade-offs with Latent Attention and MoE. CoRR abs/2509.24406 (2025) - [i13]Miheer Salunke, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
EARS-UDE: Evaluating Auditory Response in Sensory Overload with Universal Differential Equations. CoRR abs/2510.26804 (2025) - [i12]Raj Gaurav Maurya, Vaibhav Shukla, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
Simulating Misinformation Propagation in Social Networks using Large Language Models. CoRR abs/2511.10384 (2025) - [i11]Kamalpreet Singh Kainth, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedat Panat:
Physics-Informed Neural ODEs with Scale-Aware Residuals for Learning Stiff Biophysical Dynamics. CoRR abs/2511.11734 (2025) - [i10]Kavya Subramanian, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
Adaptive tumor growth forecasting via neural & universal ODEs. CoRR abs/2511.22292 (2025) - [i9]Pranav Ramanathan, Thomas Prellberg, Matthew Lewis, Prathamesh Dinesh Joshi, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
Three methods, one problem: Classical and AI approaches to no-three-in-line. CoRR abs/2512.11469 (2025) - [i8]Suriya R. S, Prathamesh Dinesh Joshi, Rajat Dandekar, Raj Dandekar, Sreedath Panat:
Forecasting N-Body Dynamics: A Comparative Study of Neural Ordinary Differential Equations and Universal Differential Equations. CoRR abs/2512.20643 (2025) - 2024
- [i7]Prathamesh Dinesh Joshi, Sahil Pocker, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
HULLMI: Human vs LLM identification with explainability. CoRR abs/2409.04808 (2024) - [i6]Fiifi Dawson, Zainab Mosunmola, Sahil Pocker, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English. CoRR abs/2410.01811 (2024) - [i5]Sameera S. Kashyap, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
Modeling chaotic Lorenz ODE System using Scientific Machine Learning. CoRR abs/2410.06452 (2024) - [i4]Sharv Murgai, Hrishikesh Bhagwat, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
A Scientific Machine Learning Approach for Predicting and Forecasting Battery Degradation in Electric Vehicles. CoRR abs/2410.14347 (2024) - [i3]Raymundo Vazquez Martinez, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
A comparative study of NeuralODE and Universal ODE approaches to solving Chandrasekhar White Dwarf equation. CoRR abs/2410.14998 (2024) - [i2]Ranabir Devgupta, Raj Abhijit Dandekar, Rajat Dandekar, Sreedath Panat:
Scientific machine learning in ecological systems: A study on the predator-prey dynamics. CoRR abs/2411.06858 (2024) - [i1]Ammar Shaikh, Raj Abhijit Dandekar, Sreedath Panat, Rajat Dandekar:
CBEval: A framework for evaluating and interpreting cognitive biases in LLMs. CoRR abs/2412.03605 (2024)
Coauthor Index
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