24 citations · 28 across the 3 of their papers we have counts for
3 papers
MCA: Enabling Algorithm-Hardware Co-Design for Efficient Markov Chain Monte Carlo Acceleration
Shirui Zhao, Jun Yin, Lingyun Yao +3
An increasing number of applications are exploiting sampling-based algorithms for planning, optimization, and inference. The Markov Chain Monte Carlo (MCMC) algorithms form the com…
Automated Semiconductor Defect Inspection in Scanning Electron Microscope Images: a Systematic Review
Thibault Lechien, Enrique Dehaerne, Bappaditya Dey +4
A growing need exists for efficient and accurate methods for detecting defects in semiconductor materials and devices. These defects can have a detrimental impact on the efficiency…
CHR(PRISM)-based Probabilistic Logic Learning
Jon Sneyers, Wannes Meert, Joost Vennekens +2
PRISM is an extension of Prolog with probabilistic predicates and built-in support for expectation-maximization learning. Constraint Handling Rules (CHR) is a high-level programmin…