Author

Sachin Deb

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#machine learning Preprint Sep 2026

Reducing the Adaptation Gap Through Reachable Fisher Geometry

Parameter-efficient fine-tuning (PEFT) determines not only how many parameters are trained, but also which local directions a model can move in, so similar adapters can affect subgroup losses differently. Since curvature matrices are infeasible to form at adapter scale, scalar summaries such as the Fisher trace are oft...

Wasif Jalal, Sachin Deb, Asif Salekin · 0 citations

Preprint Aug 2026

Representation Is Not Enough: Body-Localized Thermal Evidence for Contactless Stress and Craving Sensing in Opioid Use Disorder

FABLE-Therm is introduced, a weakly supervised architecture that preserves localized evidence across body regions, time, and encoder-specific representations until the final decision, and shows that preserving localized evidence supports both accurate sensing and principled analysis of who a model fails and why.

Sachin Deb, Harshit Sharma, Asif Salekin · 0 citations