Hyungil Moon

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 7

Top Topics

Piecewise Smooth

Stochastic Process

Top Venues

Comput. Vis. Image Underst.

J. Oper. Res. Soc.

Publications

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
Deep Reinforcement Learning for Efficient Measurement of Quantum Devices. CoRR (2020)
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
Machine learning enables completely automatic tuning of a quantum device faster than human experts. CoRR (2020)
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
Quantum device fine-tuning using unsupervised embedding learning. CoRR (2020)
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
Efficiently measuring a quantum device using machine learning. CoRR (2018)
Donghyun Kim, Hyungil Moon, Donghyun Park, Hayong Shin
An efficient approximate solution for stochastic Lanchester models. J. Oper. Res. Soc. 68 (11) (2017)
Hyungil Moon, Geonhwan Ju, Seyoun Park, Hayong Shin
3D freehand ultrasound reconstruction using a piecewise smooth Markov random field. Comput. Vis. Image Underst. 151 (2016)
Donghyun Kim, Hyungil Moon, Donghyun Park, Hayong Shin
A fast approximation of an inhomogeneous stochastic lanchester model. WSC (2015)