A fast approximation of an inhomogeneous stochastic lanchester model. - Donghyun Kim; Hyungil Moon; Donghyun Park; Hayong Shin (WSC, 2015)

3D freehand ultrasound reconstruction using a piecewise smooth Markov random field. - Hyungil Moon; Geonhwan Ju; Seyoun Park; Hayong Shin (Comput. Vis. Image Underst., 2016)

An efficient approximate solution for stochastic Lanchester models. - Donghyun Kim; Hyungil Moon; Donghyun Park; Hayong Shin (J. Oper. Res. Soc., 2017)

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)

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; et al. (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)

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)