Hyungil Moon

According to our database, Hyungil Moon authored at least 7 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Deep Reinforcement Learning for Efficient Measurement of Quantum Devices.

V. Nguyen, S. B. Orbell, Dominic T. Lennon, Hyungil Moon, Florian Vigneau, Leon C. Camenzind, Liuqi Yu, Dominik M. Zumbühl, G. Andrew D. Briggs, Michael A. Osborne, Dino Sejdinovic, Natalia Ares

CoRR, 2020

Quantum device fine-tuning using unsupervised embedding learning.

Nina M. van Esbroeck, Dominic T. Lennon, Hyungil Moon, V. Nguyen, Florian Vigneau, Leon C. Camenzind, Liuqi Yu, Dominik M. Zumbühl, G. Andrew D. Briggs, Dino Sejdinovic, Natalia Ares

CoRR, 2020

Machine learning enables completely automatic tuning of a quantum device faster than human experts.

Hyungil Moon, Dominic T. Lennon, James Kirkpatrick, Nina M. van Esbroeck, Leon C. Camenzind, Liuqi Yu, Florian Vigneau, Dominik M. Zumbühl, G. Andrew D. Briggs, Michael A. Osborne, Dino Sejdinovic, Edward A. Laird, Natalia Ares

CoRR, 2020

2018

Efficiently measuring a quantum device using machine learning.

Dominic T. Lennon, Hyungil Moon, Leon C. Camenzind, Liuqi Yu, Dominik M. Zumbühl, G. Andrew D. Briggs, Michael A. Osborne, Edward A. Laird, Natalia Ares

CoRR, 2018

2017

An efficient approximate solution for stochastic Lanchester models.

Donghyun Kim, Hyungil Moon, Donghyun Park, Hayong Shin

J. Oper. Res. Soc., 2017

2016

3D freehand ultrasound reconstruction using a piecewise smooth Markov random field.

Hyungil Moon, Geonhwan Ju, Seyoun Park, Hayong Shin

Comput. Vis. Image Underst., 2016

2015

A fast approximation of an inhomogeneous stochastic lanchester model.

Donghyun Kim, Hyungil Moon, Donghyun Park, Hayong Shin

Proceedings of the 2015 Winter Simulation Conference, 2015