10 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.SE2025
Distinguishing Quantum Software Bugs from Hardware Noise: A Statistical Approach
Ahmik Virani, Devraj, Anirudh Suresh +2
Quantum computing in the Noisy Intermediate-Scale Quantum (NISQ) era presents significant challenges in differentiating quantum software bugs from hardware noise. Traditional debug…
cond-mat.mtrl-sci2022★ 2 cited
A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models
Devesh Shah, Anirudh Suresh, Alemayehu Admasu +2
The evaluation of synthetic micro-structure images is an emerging problem as machine learning and materials science research have evolved together. Typical state of the art methods…
cs.LG2019★ 10 cited
Output-Constrained Bayesian Neural Networks
Wanqian Yang, Lars Lorch, Moritz A. Graule +5
Bayesian neural network (BNN) priors are defined in parameter space, making it hard to encode prior knowledge expressed in function space. We formulate a prior that incorporates fu…