papers
Publications (2)
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…
#constraint solving#diffusion models#graph neural networks#continuous algebraic systems
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…