Information and Learning Theory Lab.15
Overview
ILT Lab. (Information and Learning Theory Lab.) led by Daewon Seo at DGIST explores a broad area of machine learning and data science from a theoretic perspective. In particular, we investigate the learning process in social networks and deep neural networks from a lens of statistical inference, information theory, and learning theory.
Advisor Professor : Seo, Daewon
Information and Learning Theory Lab. Homepage
ILT Lab. (Information and Learning Theory Lab.) led by Daewon Seo at DGIST explores a broad area of machine learning and data science from a theoretic perspective. In particular, we investigate the learning process in social networks and deep neural networks from a lens of statistical inference, information theory, and learning theory.
Advisor Professor : Seo, Daewon
Information and Learning Theory Lab. Homepage
Co-Author(s)
Related Keyword
Recent Submissions
- On the Fundamental Tradeoff of Joint Communication and QCD: The Monostatic Case
- Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission
- 특징 중요도 인식 기반 이미지 전송을 위한 심층-통합 소스 채널 코딩 시스템 및 방법
- 중심부 보존을 위한 포비티드 심층-통합 소스 채널 코딩 시스템 및 방법
- Deep Minimax Classifiers for Imbalanced Datasets With a Small Number of Minority Samples