Directions
Not only statistics and mathematical analytics, but computational theories, such as software engineering and programming languages, serve as an essential foundation in developing more accurate, convenient, secure, equitable, and explainable AI. In addition, the development of computational theories and techniques using AI technology is actively progressing.
2023
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Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility
Lee, Hoil, Ayed, Fadhel, Jung, Paul, Lee, J, Hongseok Yang, Caron, Francois
JOURNAL OF MACHINE LEARNING RESEARCH
2023[]
2021
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A Generalization of Hierarchical Exchangeability on Trees to Directed Acyclic Graphs
Jung, Paul Heajoon, Lee, Jiho, Sam Staton, Hongseok Yang
Annales Henri Lebesgue
2021 -
이미지 분할과 관심 영역 맵 기반 색상 스키마 추출
김수지, 최성희
정보과학회논문지
2021 2019
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Bayesian Optimistic Kullback-Leibler Exploration
Kang Hoon Lee, Geonhyeong Kim, Ortega, Pedro, Lee, Daniel D., Kee-Eung Kim
MACHINE LEARNING
2019 2017
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Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016)
Durrant, RJ, Kee-Eung Kim, Holmes, G, Marsland, S, Sugiyama, M, Zhou, ZH
Machine Learning
2017[]
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Search-Based Approaches for Software Module Clustering Based on Multiple Relationship Factors
Jimin Hwa, Shin Yoo, Seo, Yeong-Seok, Doo-Hwan Bae
INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
2017[]
2015
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Hierarchical Bayesian Inverse Reinforcement Learning
Choi Jaedeug, Kee-Eung Kim
IEEE TRANSACTIONS ON CYBERNETICS
2015[] []
2012
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Exploiting symmetries for single- and multi-agent Partially Observable Stochastic Domains
Byung Kon Kang, Kee-Eung Kim
Artificial Intelligence
2012[] []
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Identifying Helpful Reviews Based on Customer’s Mentions about Experiences
Hye-Jin Min, Jong C. Park
EXPERT SYSTEMS WITH APPLICATIONS
2012[] []
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