ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
2021 · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 556 citations
https://doi.org/10.1109/iccv48922.2021.01410
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Sungroh Yoon
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Sungroh Yoon is an academic researcher from Universiti Malaysia Pahang Al-Sultan Abdullah. The author has contributed to research in topics: Advanced Neural Network Applications & Topic Modeling & Domain Adaptation and Few-Shot Learning. The author has an h-index of 55, co-authored 397 publications.
ORCID: 0000-0002-2367-197XPapers by this author
worksDeep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines
2021 · IEEE Access · 517 citations
https://doi.org/10.1109/access.2021.3107975
Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity
2018 · Nature Biotechnology · 375 citations
https://doi.org/10.1038/nbt.4061
Predicting the efficiency of prime editing guide RNAs in human cells
2020 · Nature Biotechnology · 274 citations
https://doi.org/10.1038/s41587-020-0677-y
SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance
2019 · Science Advances · 238 citations
https://doi.org/10.1126/sciadv.aax9249
Perception Prioritized Training of Diffusion Models
2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 166 citations
https://doi.org/10.1109/cvpr52688.2022.01118
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