Parallelization of a Dynamic Monte Carlo Algorithm: a Partially Rejection-Free Conservative Approach - György Korniss; Mark A. Novotny; Per Arne Rikvold (CoRR, 1998)

From Massively Parallel Algorithms and Fluctuating Time Horizons to Non-equilibrium Surface Growth - György Korniss; Zoltán Toroczkai; Mark A. Novotny; Per Arne Rikvold (CoRR, 1999)

Non-equilibrium Surface Growth and Scalability of Parallel Algorithms for Large Asynchronous Systems - György Korniss; Mark A. Novotny; Zoltán Toroczkai; Per Arne Rikvold (CoRR, 2000)

Going through Rough Times: from Non-Equilibrium Surface Growth to Algorithmic Scalability - György Korniss; Mark A. Novotny; Per Arne Rikvold; Hasan Guclu; Zoltán Toroczkai (CoRR, 2001)

Statistical properties of the simulated time horizon in conservative parallel discrete-event simulations. - György Korniss; Mark A. Novotny; A. K. Kolakowska; Hasan Guclu (SAC, 2002)

Algorithmic scalability in globally constrained conservative parallel discrete event simulations of asynchronous systems - A. K. Kolakowska; Mark A. Novotny; György Korniss (CoRR, 2002)

Suppressing Roughness of Virtual Times in Parallel Discrete-Event Simulations - György Korniss; Mark A. Novotny; Hasan Guclu; Zoltán Toroczkai; Per Arne Rikvold (CoRR, 2003)

Update statistics in conservative parallel discrete event simulations of asynchronous systems - A. K. Kolakowska; Mark A. Novotny; Per Arne Rikvold (CoRR, 2003)

On the Evolution of Time Horizons in Parallel and Grid Simulations - Lev N. Shchur; Mark A. Novotny (CoRR, 2004)

Dynamics of desynchronization in a conservative parallel-update protocol - A. K. Kolakowska; Mark A. Novotny; P. S. Verma (CoRR, 2004)

Desynchronization and Speedup in an Asynchronous Conservative Parallel Update Protocol - A. K. Kolakowska; Mark A. Novotny (CoRR, 2004)

Scalability, Random Surfaces, and Synchronized Computing Networks. - Zoltán Toroczkai; György Korniss; Mark A. Novotny; Hasan Guclu (Computational Complexity and Statistical Physics, 2006)

Empirical investigation of the low temperature energy function of the Restricted Boltzmann Machine using a 1000 qubit D-Wave 2X. - Yaroslav Koshka; Dilina Perera; Spencer Hall; Mark A. Novotny (IJCNN, 2016)

Determination of the Lowest-Energy States for the Model Distribution of Trained Restricted Boltzmann Machines Using a 1000 Qubit D-Wave 2X Quantum Computer. - Yaroslav Koshka; Dilina Perera; Spencer Hall; Mark A. Novotny (Neural Comput., 2017)

2000 Qubit D-Wave Quantum Computer Replacing MCMC for RBM Image Reconstruction and Classification. - Yaroslav Koshka; Mark A. Novotny (IJCNN, 2018)

An evaluation of the performance of Restricted Boltzmann Machines as a model for anomaly network intrusion detection. - Tamer Aldwairi; Dilina Perera; Mark A. Novotny (Comput. Networks, 2018)

Towards Sampling from Nondirected Probabilistic Graphical models using a D-Wave Quantum Annealer. - Yaroslav Koshka; Mark A. Novotny (CoRR, 2019)

Comparison of D-Wave Quantum Annealing and Classical Simulated Annealing for Local Minima Determination. - Yaroslav Koshka; Mark A. Novotny (IEEE J. Sel. Areas Inf. Theory, 2020)

Toward sampling from undirected probabilistic graphical models using a D-Wave quantum annealer. - Yaroslav Koshka; Mark A. Novotny (Quantum Inf. Process., 2020)

Comparison of Use of a 2000 Qubit D-Wave Quantum Annealer and MCMC for Sampling, Image Reconstruction, and Classification. - Yaroslav Koshka; Mark A. Novotny (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Quantum Annealing Error Mitigation Using Mirror Symmetries on Different Generations of Quantum Annealers. - Bhavika Bhalgamiya; Dilina Perera; Mark A. Novotny (QCE, 2022)

Training a Quantum Annealing Based Restricted Boltzmann Machine on Cybersecurity Data. - Vivek Dixit; Raja Selvarajan; Tamer Aldwairi; Yaroslav Koshka; Mark A. Novotny; Travis S. Humble; Muhammad Ashraful Alam; Sabre Kais (IEEE Trans. Emerg. Top. Comput. Intell., 2022)