Statistical Artificial Intelligence Lab@UNIST

Artificial Intelligence and Machine Learning Research

Author

pail

[Paper] Our paper, Markov Information Bottleneck to Improve Information Flow in Stochastic Neural Networks, is accepted at Entropy

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

[Positions] Interns and International Exchange Students

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.

[Positions] Multiple positions for PhD students and researchers

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 →

[Patent] A US patent, regrading efficient data reduction methods is issued

A patent, “Data reduction methods, systems, and devices”, is issued by USPTO. https://patents.google.com/patent/US10366078B2

[News] We moved to the KAIST Graduate School of AI

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 →

[News] National Core Technology and ‘Lighthouse Factory’ by World Economy Forum

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 →

[Award] Outstanding Paper award from Korean Computing Congress

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.

[Workshop] ICCV 2019 Workshop on Interpreting and Explaining Visual Artificial Intelligence Models

We will co-host the 2019 International Workshop at http://xai.unist.ac.kr/workshop/2019/

[Paper] Our paper, Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes, is accepted at IJCAI-19

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.

[Award] Prof. Choi receives a prime minister’s commendation (award)

Prof. Choi receives prime minister’s commendation (award) for the research of relational automatic statistician and industrial application of time series deep learning models.

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