66 citations · 84 across the 6 of their papers we have counts for
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stat.ML2019★ 3 cited
Structure Learning of Gaussian Markov Random Fields with False Discovery Rate Control
Sangkyun Lee, Piotr Sobczyk, Malgorzata Bogdan
In this paper, we propose a new estimation procedure for discovering the structure of Gaussian Markov random fields (MRFs) with false discovery rate (FDR) control, making use of th…
cs.LG2019★ 5 cited
Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems
Sangkyun Lee, Jeonghyun Lee
Deep neural networks (DNNs) have been quite successful in solving many complex learning problems. However, DNNs tend to have a large number of learning parameters, leading to a lar…