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Our paper, Markov Information Bottleneck to Improve Information Flow in Stochastic Neural Networks, written by Thanh and Jaesik is accepted at Special Issue “Information–Theoretic Approaches to Computational Intelligence” of Entropy. https://www.mdpi.com/journal/entropy/special_issues/information_theoretic_computational_intelligence
Our XAI (Explainable Artificial Intelligence) Center has openings for interns and international exchange students. If you are interested in collaborating with our lab, please send your cv and a cover letter to jaesik.choi at kaist.ac.kr.
Our lab has multiple positions for PhD students and researchers. If you are interested in the positions, please apply by sending a cover letter and CV to jaesik.choi at kaist.ac.kr. If you are serious to join our lab, it would… Continue Reading →
A patent, “Data reduction methods, systems, and devices”, is issued by USPTO. https://patents.google.com/patent/US10366078B2
In September 2019, Prof. Choi and the Statistical Artificial Intelligence Lab at UNIST moved to the KAIST Graduate School of AI. If you are interested in joining our lab as a graduate student, please apply to the graduate program at… Continue Reading →
The Smart Blast Furnace Technology co-developed with POSCO is selected as one of the 69 National Core Technologies in Korea. http://www.korea.kr/news/pressReleaseView.do?newsId=156337331&call_from=seoul_paper With the smart blast furnace technology, POSCO is named ‘Lighthouse Factory’ (which is the first as a Korean company)… Continue Reading →
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.
