Mark A. Novotny
According to our database1, Mark A. Novotny authored at least 20 papers between 1998 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.
An evaluation of the performance of Restricted Boltzmann Machines as a model for anomaly network intrusion detection.
Comput. Networks, 2018
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
Scalability, Random Surfaces, and Synchronized Computing Networks.
Proceedings of the Computational Complexity and Statistical Physics., 2006
Desynchronization and Speedup in an Asynchronous Conservative Parallel Update Protocol
Update statistics in conservative parallel discrete event simulations of asynchronous systems
Algorithmic scalability in globally constrained conservative parallel discrete event simulations of asynchronous systems
Statistical properties of the simulated time horizon in conservative parallel discrete-event simulations.
Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002
Going through Rough Times: from Non-Equilibrium Surface Growth to Algorithmic Scalability
Non-equilibrium Surface Growth and Scalability of Parallel Algorithms for Large Asynchronous Systems
From Massively Parallel Algorithms and Fluctuating Time Horizons to Non-equilibrium Surface Growth
Parallelization of a Dynamic Monte Carlo Algorithm: a Partially Rejection-Free Conservative Approach