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Yung-Kyun Noh

A.I. Institute, Hanyang University, Department of Computer Science, Hanyang University

Autoencoding Under Normalization Constraints


May 12, 2021
Sangwoong Yoon, Yung-Kyun Noh, Frank Chongwoo Park

* Accepted to ICML 2021. The code is released in https://github.com/swyoon/normalized-autoencoders . Any updates regarding the work, e.g. the release of the code, will be broadcasted through the mailing list, see https://mailchi.mp/32e7ca8a0a85/autoencoding-under-normalization-constraints 

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Learning to increase matching efficiency in identifying additional b-jets in the $\text{t}\bar{\text{t}}\text{b}\bar{\text{b}}$ process


Mar 16, 2021
Cheongjae Jang, Sang-Kyun Ko, Yung-Kyun Noh, Jieun Choi, Jongwon Lim, Tae Jeong Kim


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K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning


Jun 07, 2018
Jihun Hamm, Yung-Kyun Noh

* Accepted for ICML 2018 

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Nearest neighbor density functional estimation based on inverse Laplace transform


May 22, 2018
Shouvik Ganguly, Jongha Ryu, Young-Han Kim, Yung-Kyun Noh, Daniel D. Lee

* 28 pages, 2 figures 

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Scalable Iterative Algorithm for Robust Subspace Clustering


Jun 05, 2015
Sanghyuk Chun, Yung-Kyun Noh, Jinwoo Shin

* This paper has been withdrawn by the author due to an error in the initialization section 

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Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation


Jun 30, 2014
Hiroaki Sasaki, Yung-Kyun Noh, Masashi Sugiyama


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Learning Discriminative Metrics via Generative Models and Kernel Learning


Sep 19, 2011
Yuan Shi, Yung-Kyun Noh, Fei Sha, Daniel D. Lee

* 16 pages 

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