2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.PL2026
RESOLVE: Language-Agnostic Validation of GPU Kernels Through Testing, Reduction, and Proof
Ashkan Vedadi Gargary, Guido Martínez, Sebastian Burckhardt +4
AI systems can now write and optimize production GPU kernels, but validating them remains an important challenge. Evaluating the kernel on a few random inputs and checking that its…
cs.LG2024★ 2 cited
A Systematic Review of Federated Generative Models
Ashkan Vedadi Gargary, Emiliano De Cristofaro
Federated Learning (FL) has emerged as a solution for distributed systems that allow clients to train models on their data and only share models instead of local data. Generative M…