Search Results - "Ryu, Jongha"
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1
From Information Theory to Machine Learning Algorithms: A Few Vignettes
Published 01-01-2022“…This dissertation illustrates how certain information-theoretic ideas and views on learning problems can lead to new algorithms via concrete examples. The…”
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Dissertation -
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Conditional Distribution Learning with Neural Networks and its Application to Universal Image Denoising
Published in 2018 25th IEEE International Conference on Image Processing (ICIP) (01-10-2018)“…A simple and scalable denoising algorithm is proposed that can be applied to a wide range of source and noise models. At the core of the proposed CUDE…”
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Conference Proceeding -
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Group Fairness with Uncertain Sensitive Attributes
Published in 2024 IEEE International Symposium on Information Theory (ISIT) (07-07-2024)“…Learning a fair predictive model is crucial to mitigate biased decisions against minority groups in high-stakes applications. A common approach to learn such a…”
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Conference Proceeding -
4
Group Fairness with Uncertainty in Sensitive Attributes
Published 15-02-2023“…Learning a fair predictive model is crucial to mitigate biased decisions against minority groups in high-stakes applications. A common approach to learn such a…”
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Journal Article -
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Dendritic physical gel: A liquid crystalline gel for application in light scattering displays
Published in Macromolecular research (01-10-2008)“…KCI Citation Count: 6…”
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Journal Article -
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Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning
Published 28-06-2017“…Recommender systems aim to find an accurate and efficient mapping from historic data of user-preferred items to a new item that is to be liked by a user…”
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Journal Article