Learning Thermodynamics with Boltzmann Machines. - Giacomo Torlai; Roger G. Melko (CoRR, 2016)

Deep Learning the Ising Model Near Criticality. - Alan Morningstar; Roger G. Melko (J. Mach. Learn. Res., 2017)

Reconstructing quantum states with generative models. - Juan Carrasquilla; Giacomo Torlai; Roger G. Melko; Leandro Aolita (Nat. Mach. Intell., 2019)

Author Correction: Reconstructing quantum states with generative models. - Juan Carrasquilla; Giacomo Torlai; Roger G. Melko; Leandro Aolita (Nat. Mach. Intell., 2019)

Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks. - Sebastian Johann Wetzel; Roger G. Melko; Joseph Scott; Maysum Panju 001; Vijay Ganesh 001 (CoRR, 2020)

Twin Neural Network Regression. - Sebastian Johann Wetzel; Kevin Ryczko; Roger G. Melko; Isaac Tamblyn (CoRR, 2020)

The accuracy of restricted Boltzmann machine models of Ising systems. - David Yevick; Roger G. Melko (Comput. Phys. Commun., 2021)

Variational neural annealing. - Mohamed Hibat-Allah; Estelle M. Inack; Roeland Wiersema; Roger G. Melko; Juan Carrasquilla (Nat. Mach. Intell., 2021)

Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy. - Mohamed Hibat-Allah; Roger G. Melko; Juan Carrasquilla (CoRR, 2022)

Miniaturizing neural networks for charge state autotuning in quantum dots. - Stefanie Czischek; Victor Yon; Marc-Antoine Genest; Marc-Antoine Roux; Sophie Rochette; Julien Camirand Lemyre; Mathieu Moras; Michel Pioro-Ladriere; Dominique Drouin; Yann Beilliard; Roger G. Melko (Mach. Learn. Sci. Technol., 2022)

Twin neural network regression is a semi-supervised regression algorithm. - Sebastian Johann Wetzel; Roger G. Melko; Isaac Tamblyn (Mach. Learn. Sci. Technol., 2022)

Investigating Topological Order using Recurrent Neural Networks. - Mohamed Hibat-Allah; Roger G. Melko; Juan Carrasquilla (CoRR, 2023)

CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models. - Sehmimul Hoque; Hao Jia; Abhishek Abhishek; Mojde Fadaie; Javier Quetzalcóatl Toledo-Marín; Tiago Vale; Roger G. Melko; Maximilian Swiatlowski; Wojciech T. Fedorko (CoRR, 2023)

Quantum Economic Advantage. - Francesco Bova; Avi Goldfarb; Roger G. Melko (Manag. Sci., 2023)

Neural network enhanced measurement efficiency for molecular groundstates. - Dmitri Iouchtchenko; Jérôme F. Gonthier; Alejandro Perdomo-Ortiz; Roger G. Melko (Mach. Learn. Sci. Technol., 2023)

Calo4pQVAE: Quantum-Assisted 4-Partite VAE Surrogate for High Energy Particle-Calorimeter Interactions. - Sebastian Gonzalez; Hao Jia; Javier Quetzalcóatl Toledo-Marín; Sehmimul Hoque; Abhishek Abhishek; Ian Lu; Deniz Sogutlu; Sören Anderson; Colin Gay; Eric Paquet; Roger G. Melko; Geoffrey C. Fox; et al. (QCE, 2024)

Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice. - Mohamed Hibat-Allah; Ejaaz Merali; Giacomo Torlai; Roger G. Melko; Juan Carrasquilla (CoRR, 2024)

Robust quantum dots charge autotuning using neural networks uncertainty. - Victor Yon; Bastien Galaup; Claude Rohrbacher; Joffrey Rivard; Clement Godfrin; Roy Li; Stefan Kubicek; Kristiaan De Greve; Louis Gaudreau; Eva Dupont-Ferrier; Yann Beilliard; Roger G. Melko; et al. (CoRR, 2024)

Autoregressive model path dependence near Ising criticality. - Yi Hong Teoh; Roger G. Melko (CoRR, 2024)

Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions. - Javier Quetzalcóatl Toledo-Marín; Sebastian Gonzalez; Hao Jia; Ian Lu; Deniz Sogutlu; Abhishek Abhishek; Colin Gay; Eric Paquet; Roger G. Melko; Geoffrey C. Fox; Maximilian Swiatlowski; Wojciech Fedorko (CoRR, 2024)

Zephyr quantum-assisted hierarchical Calo4pQVAE for particle-calorimeter interactions. - Ian Lu; Hao Jia; Sebastian Gonzalez; Deniz Sogutlu; Javier Quetzalcóatl Toledo-Marín; Sehmimul Hoque; Abhishek Abhishek; Colin Gay; Roger G. Melko; Eric Paquet; Geoffrey C. Fox; Maximilian Swiatlowski; et al. (CoRR, 2024)

Robust quantum dots charge autotuning using neural network uncertainty. - Victor Yon; Bastien Galaup; Claude Rohrbacher; Joffrey Rivard; Clement Godfrin; Ruoyu Li; Stefan Kubicek; Kristiaan De Greve; Louis Gaudreau; Eva Dupont-Ferrier; Yann Beilliard; Roger G. Melko; et al. (Mach. Learn. Sci. Technol., 2024)

Language models for quantum simulation. - Roger G. Melko; Juan Carrasquilla (Nat. Comput. Sci., 2024)

GraphiQ: Quantum circuit design for photonic graph states. - Jie Lin; Benjamin MacLellan; Sobhan Ghanbari; Julie Belleville; Khuong Tran; Luc Robichaud; Roger G. Melko; Hoi-Kwong Lo; Piotr Roztocki (Quantum, 2024)

Exploring the Energy Landscape of RBMs: Reciprocal Space Insights into Bosons, Hierarchical Learning and Symmetry Breaking. - Javier Quetzalcóatl Toledo-Marín; Anindita Maiti; Geoffrey C. Fox; Roger G. Melko (CoRR, 2025)