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1
A Bayesian graph convolutional network for reliable prediction of molecular properties with uncertainty quantification

Ryu, Seongok; Kwon, Yongchan; Kim, Woo Youn, CHEMICAL SCIENCE, v.10, no.36, pp.8438 - 8446, 2019-09

2
Bayesian's eye on molecular science: Bayesian deep optimization of Onsager-Machlup action learning for uncertainty quantification and active learning of molecular properties

Ryu, Seongok; Kwon, Yongchan; Hwang, Sang-Yeon; Kim, Woo Youn, The 5 th International Conference on Molecular Simulation, The Korean Institute of Metals and Materials, The Korea Institute of Science and Technology, Korea Advanced Institute of Science and Technology - ACE Team, Seoul National University, 2019-11-04

3
Calibrated propensity score method for survey nonresponse in cluster sampling

Kim, Jae Kwang; Kwon, Yongchan; Paik, Myunghee Cho, BIOMETRIKA, v.103, no.2, pp.461 - 473, 2016-06

4
Uncertainty quantification of molecule property predictions using Bayesian neural network models

Ryu, Seongok; Kwon, Yongchan; Kim, Woo Youn, Workshop on "Machine Learning for Molecules and Materials", 32nd Neural Information Processing Systems, NeurIPS Foundation, 2018-12-08

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