Roger G. Melko

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Boltzmann Machines

Generative Model

Top Venues

Mach. Learn. Sci. Technol.

Nat. Mach. Intell.

Publications

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, Dominique Drouin
Robust quantum dots charge autotuning using neural networks uncertainty. CoRR (2024)
Mohamed Hibat-Allah, Ejaaz Merali, Giacomo Torlai, Roger G. Melko, Juan Carrasquilla
Recurrent neural network wave functions for Rydberg atom arrays on kagome lattice. CoRR (2024)
Roger G. Melko, Juan Carrasquilla
Language models for quantum simulation. Nat. Comput. Sci. 4 (1) (2024)
Sehmimul Hoque, Hao Jia, Abhishek Abhishek, Mojde Fadaie, J. Quetzalcóatl Toledo-Marín, Tiago Vale, Roger G. Melko, Maximilian Swiatlowski, Wojciech T. Fedorko
CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models. CoRR (2023)
Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla
Investigating Topological Order using Recurrent Neural Networks. CoRR (2023)
Dmitri Iouchtchenko, Jérôme F. Gonthier, Alejandro Perdomo-Ortiz, Roger G. Melko
Neural network enhanced measurement efficiency for molecular groundstates. Mach. Learn. Sci. Technol. 4 (1) (2023)
Francesco Bova, Avi Goldfarb, Roger G. Melko
Quantum Economic Advantage. Manag. Sci. 69 (2) (2023)
Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy. CoRR (2022)
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
Miniaturizing neural networks for charge state autotuning in quantum dots. Mach. Learn. Sci. Technol. 3 (1) (2022)
Sebastian Johann Wetzel, Roger G. Melko, Isaac Tamblyn
Twin neural network regression is a semi-supervised regression algorithm. Mach. Learn. Sci. Technol. 3 (4) (2022)
Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla
Variational neural annealing. Nat. Mach. Intell. 3 (11) (2021)
David Yevick, Roger G. Melko
The accuracy of restricted Boltzmann machine models of Ising systems. Comput. Phys. Commun. 258 (2021)
Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla
Variational Neural Annealing. CoRR (2021)
Sebastian Johann Wetzel, Roger G. Melko, Isaac Tamblyn
Twin Neural Network Regression is a Semi-Supervised Regression Algorithm. CoRR (2021)
David Yevick, Roger G. Melko
The Accuracy of Restricted Boltzmann Machine Models of Ising Systems. CoRR (2020)
Sebastian Johann Wetzel, Kevin Ryczko, Roger G. Melko, Isaac Tamblyn
Twin Neural Network Regression. CoRR (2020)
Sebastian Johann Wetzel, Roger G. Melko, Joseph Scott, Maysum Panju, Vijay Ganesh
Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks. CoRR (2020)
Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita
Author Correction: Reconstructing quantum states with generative models. Nat. Mach. Intell. 1 (4) (2019)
Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita
Reconstructing quantum states with generative models. Nat. Mach. Intell. 1 (3) (2019)
Alan Morningstar, Roger G. Melko
Deep Learning the Ising Model Near Criticality. J. Mach. Learn. Res. 18 (2017)
Alan Morningstar, Roger G. Melko
Deep Learning the Ising Model Near Criticality. CoRR (2017)
Giacomo Torlai, Roger G. Melko
Learning Thermodynamics with Boltzmann Machines. CoRR (2016)