William G. Macready

1. A practical heuristic for finding graph minors
   2014/06/10 by Jun Liang Cai, Cai, Jun, William G. Macready +3 · 29 citations
   Computer Science · #Quantum Computing Algorithms and Architecture #Complexity and Algorithms in Graphs #Computability, Logic, AI Algorithms
2. Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines
   2016/11/14 by Dmytro Korenkevych, Yanbo Xue, Korenkevych, Dmytro +11 · 3 citations
   Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Stochastic Gradient Optimization Techniques
3. Training a Large Scale Classifier with the Quantum Adiabatic Algorithm
   2009/12/04 by Hartmut Neven, Neven, Hartmut, Vasil S. Denchev +5 · 3 citations
   Computer Science · #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)
4. DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
   2018/02/14 by Arash Vahdat, William G. Macready, Vahdat, Arash +7 · 4 citations
   Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Music and Audio Processing
5. DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors
   2018/05/18 by Arash Vahdat, Evgeny Andriyash, Vahdat, Arash +3 · 3 citations
   Computer Science · Engineering · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
6. A Near-Term Quantum Computing Approach for Hard Computational Problems in Space Exploration
   2012/04/12 by Vadim Smelyanskiy, Eleanor Rieffel, Smelyanskiy, Vadim N. +13 · 1 citation
   Computer Science · #Computational Physics and Python Applications #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph)
7. Training a Binary Classifier with the Quantum Adiabatic Algorithm
   2008/11/04 by Hartmut Neven, Vasil S. Denchev, Neven, Hartmut +5 · 1 citation
   Computer Science · #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Quantum-Dot Cellular Automata
8. Neural-Guided RuntimePrediction of Planners for Improved Motion and Task Planning with Graph Neural Networks
   2022/07/29 by Simon Odense, Kamal Gupta, Odense, Simon +3 · 1 citation
   Engineering · Computer Science · #Robot Manipulation and Learning #Robotic Path Planning Algorithms #Multimodal Machine Learning Applications