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ORCIDRoger G. Melko
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2020 – today
- 2024
[j10]Roger G. Melko
, Juan Carrasquilla:
Language models for quantum simulation. Nat. Comput. Sci. 4(1): 11-18 (2024)- [i13]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 abs/2405.20384 (2024) - [i12]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 abs/2406.05175 (2024) - [i11]Yi Hong Teoh, Roger G. Melko:
Autoregressive model path dependence near Ising criticality. CoRR abs/2408.15715 (2024) - 2023
- [j9]Francesco Bova, Avi Goldfarb, Roger G. Melko:
Quantum Economic Advantage. Manag. Sci. 69(2): 1116-1126 (2023) - [j8]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): 15016 (2023) - [i10]Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla:
Investigating Topological Order using Recurrent Neural Networks. CoRR abs/2303.11207 (2023) - [i9]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 abs/2312.03179 (2023) - 2022
- [j7]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): 15001 (2022) - [j6]Sebastian Johann Wetzel, Roger G. Melko, Isaac Tamblyn:
Twin neural network regression is a semi-supervised regression algorithm. Mach. Learn. Sci. Technol. 3(4): 45007 (2022) - [i8]Mohamed Hibat-Allah, Roger G. Melko, Juan Carrasquilla:
Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy. CoRR abs/2207.14314 (2022) - 2021
- [j5]David Yevick, Roger G. Melko:
The accuracy of restricted Boltzmann machine models of Ising systems. Comput. Phys. Commun. 258: 107518 (2021) - [j4]Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla:
Variational neural annealing. Nat. Mach. Intell. 3(11): 952-961 (2021) - [i7]Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla:
Variational Neural Annealing. CoRR abs/2101.10154 (2021) - [i6]Sebastian Johann Wetzel, Roger G. Melko, Isaac Tamblyn:
Twin Neural Network Regression is a Semi-Supervised Regression Algorithm. CoRR abs/2106.06124 (2021) - 2020
- [i5]Sebastian Johann Wetzel, Roger G. Melko, Joseph Scott, Maysum Panju, Vijay Ganesh:
Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks. CoRR abs/2003.04299 (2020) - [i4]David Yevick, Roger G. Melko:
The Accuracy of Restricted Boltzmann Machine Models of Ising Systems. CoRR abs/2004.12867 (2020) - [i3]Sebastian Johann Wetzel, Kevin Ryczko, Roger G. Melko, Isaac Tamblyn:
Twin Neural Network Regression. CoRR abs/2012.14873 (2020)
2010 – 2019
- 2019
- [j3]Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita:
Reconstructing quantum states with generative models. Nat. Mach. Intell. 1(3): 155-161 (2019) - [j2]Juan Carrasquilla, Giacomo Torlai, Roger G. Melko, Leandro Aolita:
Author Correction: Reconstructing quantum states with generative models. Nat. Mach. Intell. 1(4): 200 (2019) - 2017
- [j1]Alan Morningstar, Roger G. Melko:
Deep Learning the Ising Model Near Criticality. J. Mach. Learn. Res. 18: 163:1-163:17 (2017) - [i2]Alan Morningstar, Roger G. Melko:
Deep Learning the Ising Model Near Criticality. CoRR abs/1708.04622 (2017) - 2016
- [i1]Giacomo Torlai, Roger G. Melko:
Learning Thermodynamics with Boltzmann Machines. CoRR abs/1606.02718 (2016)
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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