Author
pail
The paper, A visualization of hidden layers of time series neural networks, written by Sohee Cho and Jaesik Choi, received the outstanding paper award from 2019 Korean Computing Congress.
We will co-host the 2019 International Workshop at http://xai.unist.ac.kr/workshop/2019/
Our paper, Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes, written by Jiyeon Han, Kyowoon Lee, Anh Tong and Jaesik Choi is accepted at IJCAI-19.
Prof. Choi receives prime minister’s commendation (award) for the research of relational automatic statistician and industrial application of time series deep learning models.
Our paper, Discovering Latent Covariance Structures for Multiple Time Series, written by Anh Tong and Jaesik Choi is accepted ICML 2019.
UNIST Industrial Artificial Intelligence Center led by Prof. Jaesik Choi received the appreciation award from Korea East West Power.
Two researchers, Nakwon Sung and Seongman Heo, joined our lab. Six graduate students, Minsu Kang, Cheongwoong Kang, Youngjin Park, Sungguk Cha, Seongun Kim and Alisher Abdulov, joined our lab.
Kyowoon Lee received the prestigious NAVER PhD award! Congratulation Kyowoon!
If you wish to attend, please see http://xai.unist.ac.kr/Symposium/2018
Prof. Choi received the POSCO Smart Innovation Award for the contribution of building AI (Deep Learning) systems to improve the prediction accuracy of hot metal temperature and blast volume in a smart blast furnace. Predicting the key values such as hot… Continue Reading →
