clinical risk modeling 1constraint solving 1continuous algebraic systems 1diffusion models 1drift monitoring 1evaluation methodology 1fairness auditing 1graph neural networks 1random multi-start 1subgroup disparity 1synthetic benchmark 1
From the 2 of 3 linked papers with an AI index.
3 papers
cs.RO2026
Belief-Space Perception Routing under Coupled Sensor Faults and Compute Contention
Sparsh Roy, Vihan Aggarwal, Davin Yin
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…
cs.LG2026
KAISEN: Reproducible Subgroup Fairness Auditing for Clinical Risk Models
Sparsh Roy, Samuel Girmachew, Nishita Chavan
The paper introduces KAISEN, a reproducible five‑phase pipeline for auditing subgroup fairness in clinical risk models, and evaluates its components on a synthetic benchmark coveri…
cs.LG2026
When Do Learned Diffusion Proposals Help Constraint Solving? A Controlled Study on Continuous Algebraic Systems
Quang Bui, Sparsh Roy, Akash Gundimeda +1
The paper studies when graph‑neural diffusion proposals improve solving continuous algebraic constraint systems, comparing learned proposals to random multi‑start baselines and ide…