Roger G. Melko

Orcid: 0000-0002-5505-8176

According to our database1, Roger G. Melko authored at least 16 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Language models for quantum simulation.
Nat. Comput. Sci., 2024

2023
Neural network enhanced measurement efficiency for molecular groundstates.
Mach. Learn. Sci. Technol., March, 2023

Quantum Economic Advantage.
Manag. Sci., February, 2023

CaloQVAE : Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models.
CoRR, 2023

Investigating Topological Order using Recurrent Neural Networks.
CoRR, 2023

2022
Twin neural network regression is a semi-supervised regression algorithm.
Mach. Learn. Sci. Technol., December, 2022

Miniaturizing neural networks for charge state autotuning in quantum dots.
Mach. Learn. Sci. Technol., 2022

Supplementing Recurrent Neural Network Wave Functions with Symmetry and Annealing to Improve Accuracy.
CoRR, 2022

2021
Variational neural annealing.
Nat. Mach. Intell., 2021

The accuracy of restricted Boltzmann machine models of Ising systems.
Comput. Phys. Commun., 2021

2020
Twin Neural Network Regression.
CoRR, 2020

Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networks.
CoRR, 2020

2019
Author Correction: Reconstructing quantum states with generative models.
Nat. Mach. Intell., 2019

Reconstructing quantum states with generative models.
Nat. Mach. Intell., 2019

2017
Deep Learning the Ising Model Near Criticality.
J. Mach. Learn. Res., 2017

2016
Learning Thermodynamics with Boltzmann Machines.
CoRR, 2016


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