According to our database1, Yaroslav Koshka authored at least 7 papers between 2016 and 2021.
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Comparison of Use of a 2000 Qubit D-Wave Quantum Annealer and MCMC for Sampling, Image Reconstruction, and Classification.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
Toward sampling from undirected probabilistic graphical models using a D-Wave quantum annealer.
Quantum Inf. Process., 2020
Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination.
IEEE J. Sel. Areas Inf. Theory, 2020
Towards Sampling from Nondirected Probabilistic Graphical models using a D-Wave Quantum Annealer.
2000 Qubit D-Wave Quantum Computer Replacing MCMC for RBM Image Reconstruction and Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Determination of the Lowest-Energy States for the Model Distribution of Trained Restricted Boltzmann Machines Using a 1000 Qubit D-Wave 2X Quantum Computer.
Neural Comput., 2017
Empirical investigation of the low temperature energy function of the Restricted Boltzmann Machine using a 1000 qubit D-Wave 2X.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016