2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Eradicating Negative Transfer in Multi-Physics Foundation Models via Sparse Mixture-of-Experts Routing
Ellwil Sharma, Arastu Sharma
Scaling Scientific Machine Learning (SciML) toward universal foundation models is bottlenecked by negative transfer: the simultaneous co-training of disparate partial differential…
cs.CL2024
Can LLMs Compute with Reasons?
Harshit Sandilya, Peehu Raj, Jainit Sushil Bafna +7
Large language models (LLMs) often struggle with complex mathematical tasks, prone to "hallucinating" incorrect answers due to their reliance on statistical patterns. This limitati…
physics.med-ph2021★ 2 cited
Design of an Efficient, Ease-of-use and Affordable Artificial Intelligence based Nucleic Acid Amplification Diagnosis Technology for Tuberculosis and Multi-drug Resistant Tuberculosis
Arastu Sharma, Rakesh Jain
Current technologies that facilitate diagnosis for simultaneous detection of Mycobacterium tuberculosis and its resistance to first-line anti-tuberculosis drugs (Isoniazid and Rifa…