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Benchmarking Quantum Hardware for Training of Fully Visible Boltzmann Machines., , , , , , and . CoRR, (2016)Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks., , , and . CVPR, page 12712-12722. Computer Vision Foundation / IEEE, (2020)DVAE#: Discrete Variational Autoencoders with Relaxed Boltzmann Priors., , and . NeurIPS, page 1869-1878. (2018)Tailoring Mutation to Landscape Properties.. Evolutionary Programming, volume 1447 of Lecture Notes in Computer Science, page 355-364. Springer, (1998)Improved Gradient-Based Optimization Over Discrete Distributions., , and . CoRR, (2018)DVAE++: Discrete Variational Autoencoders with Overlapping Transformations., , , and . CoRR, (2018)Solving SAT and MaxSAT with a Quantum Annealer: Foundations, Encodings, and Preliminary Results., , , , , and . CoRR, (2018)No free lunch theorems for optimization., and . IEEE Trans. Evol. Comput., 1 (1): 67-82 (1997)Coevolutionary free lunches., and . IEEE Trans. Evol. Comput., 9 (6): 721-735 (2005)Investigating the Performance of an Adiabatic Quantum Optimization Processor, , , , , , , , and . CoRR, (2010)