Sungroh Yoon

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

Jooyoung Choi, Sungwon Kim, Yonghyun Jeong et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 556 citations

Engineering, Machine Learning, Diffusion Probabilistic Models +17

Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines

Kukjin Choi, Jihun Yi, Changhwa Park et al. · IEEE Access · 2021 · 504 citations · Full text

Temporal Dependencies, Anomaly Detection, Machine Learning +15

Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection

Seijoon Kim, Seongsik Park, Byunggook Na et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 400 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity

Hui Kwon Kim, Seonwoo Min, Myungjae Song et al. · Nature Biotechnology · 2018 · 371 citations · Full text

Molecular Biology, Gene Editing, Genome Editing +4

RNA design rules from a massive open laboratory

Jeehyung Lee, Wipapat Kladwang, Min Jae Lee et al. · Proceedings of the National Academy of Sciences · 2014 · 316 citations · Full text