‪Namuk Park‬ - ‪Google Scholar‬

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	All	Since 2019
Citations	468	468
h-index	4	4
i10-index	3	3

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202220232024111 242 113

Co-authors

Songkuk KimYonsei UniversityVerified email at yonsei.ac.kr
Byeongho HeoNAVER AI LabVerified email at navercorp.com
Sangdoo YunNAVER AI LabVerified email at navercorp.com
Taekyung KimKorea Advanced Institute of Science and Technology (KAIST)Verified email at kaist.ac.kr
Wonjae KimNAVER AI LabVerified email at navercorp.com

Namuk Park

Namuk Park

Prescient Design, Genentech

Verified email at gene.com - Homepage

Machine Learning Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
How Do Vision Transformers Work? N Park, S Kim International Conference on Learning Representations (ICLR, Spotlight), 2022	406	2022
What Do Self-Supervised Vision Transformers Learn? N Park, W Kim, B Heo, T Kim, S Yun International Conference on Learning Representations (ICLR), 2023	40	2023
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness N Park, S Kim International Conference on Machine Learning (ICML), 2022	17	2022
Vector Quantized Bayesian Neural Network Inference for Data Streams N Park, T Lee, S Kim AAAI Conference on Artificial Intelligence, 2021	5	2021

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Articles 1–4