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Author

Sparsh Roy

Massachusetts Institute of Technology

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#machine learning Preprint Sep 2026

Matched-Input Estimates Differ in Sign Across Architectures: Auditing EEG Foundation Models on Motor Imagery

Sign differences suggest that a single comparator may not provide an architecture-invariant decomposition of a pretrained-versus-supervised performance gap, and validation-fitted temperature scaling returns foundation-model calibration error to the supervised range despite substantially lower four-class accuracy.

Ke-Tian Zhou, Sparsh Roy · 0 citations
Preprint Jul 2026

Belief-Space Perception Routing under Coupled Sensor Faults and Compute Contention

A robot that has to see and react on a fixed clock runs into two problems at once. Its cameras degrade in rain, mud, fog, and darkness. And the single onboard processor it runs on is shared with planning and control, so the compute left over for perception moves around from second to second. Most systems model the two...

Sparsh Roy, Vihan Aggarwal, Davin Yin · 0 citations
Jul 2026

KAISEN: Reproducible Subgroup Fairness Auditing for Clinical Risk Models

KAISEN, a five-phase audit pipeline covering subgroup stratification, disparity measurement, mechanism diagnostics, post-hoc mitigation, and drift monitoring, is evaluated to the point of failure on a synthetic benchmark of 16 disease tasks, 15 social-determinant axes from Healthy People 2030, and three prespecified in...

Sparsh Roy, Samuel Girmachew, Nishita Chavan · 0 citations

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