101 citations · 225 across the 9 of their papers we have counts for
9 papers
A General-Purpose Transferable Predictor for Neural Architecture Search
Fred X. Han, Keith G. Mills, Fabian Chudak +6
Understanding and modelling the performance of neural architectures is key to Neural Architecture Search (NAS). Performance predictors have seen widespread use in low-cost NAS and…
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
Keith G. Mills, Fred X. Han, Jialin Zhang +6
Predicting neural architecture performance is a challenging task and is crucial to neural architecture design and search. Existing approaches either rely on neural performance pred…
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search
Keith G. Mills, Fred X. Han, Jialin Zhang +6
Neural architecture search automates neural network design and has achieved state-of-the-art results in many deep learning applications. While recent literature has focused on desi…
Solving SAT and MaxSAT with a Quantum Annealer: Foundations, Encodings, and Preliminary Results
Zhengbing Bian, Fabian Chudak, William Macready +3
Quantum annealers (QAs) are specialized quantum computers that minimize objective functions over discrete variables by physically exploiting quantum effects. Current QA platforms a…
Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines
Dmytro Korenkevych, Yanbo Xue, Zhengbing Bian +4
Quantum annealing (QA) is a hardware-based heuristic optimization and sampling method applicable to discrete undirected graphical models. While similar to simulated annealing, QA r…
Mapping constrained optimization problems to quantum annealing with application to fault diagnosis
Zhengbing Bian, Fabian Chudak, Robert Israel +3
Current quantum annealing (QA) hardware suffers from practical limitations such as finite temperature, sparse connectivity, small qubit numbers, and control error. We propose new a…
Experimental determination of Ramsey numbers
Zhengbing Bian, Fabian Chudak, William G. Macready +2
Ramsey theory is a highly active research area in mathematics that studies the emergence of order in large disordered structures. Ramsey numbers mark the threshold at which order f…
Investigating the Performance of an Adiabatic Quantum Optimization Processor
Kamran Karimi, Neil G. Dickson, Firas Hamze +6
Adiabatic quantum optimization offers a new method for solving hard optimization problems. In this paper we calculate median adiabatic times (in seconds) determined by the minimum…
Fast optical layer mesh protection using pre-cross-connected trails
Timothy Y. Chow, Fabian Chudak, Anthony M. Ffrench
Conventional optical networks are based on SONET rings, but since rings are known to use bandwidth inefficiently, there has been much research into shared mesh protection, which pr…