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Namuk Park

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2020 – today

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2023
[c4]
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Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun:
What Do Self-Supervised Vision Transformers Learn? ICLR 2023
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  - journals/corr/abs-2305-00729
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Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun:
What Do Self-Supervised Vision Transformers Learn? CoRR abs/2305.00729 (2023)
2022
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Namuk Park, Songkuk Kim:
How Do Vision Transformers Work? ICLR 2022
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Namuk Park, Songkuk Kim:
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness. ICML 2022: 17390-17419
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  - journals/corr/abs-2202-06709
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Namuk Park, Songkuk Kim:
How Do Vision Transformers Work? CoRR abs/2202.06709 (2022)
2021
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  - journals/sensors/ParkK21
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Namuk Park, Songkuk Kim:
FlexSketch: Estimation of Probability Density for Stationary and Non-Stationary Data Streams. Sensors 21(4): 1080 (2021)
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Namuk Park, Taekyu Lee, Songkuk Kim:
Vector Quantized Bayesian Neural Network Inference for Data Streams. AAAI 2021: 9322-9330
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  - journals/corr/abs-2105-12639
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Namuk Park, Songkuk Kim:
Blurs Make Results Clearer: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness. CoRR abs/2105.12639 (2021)

2010 – 2019

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2019
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  - journals/corr/abs-1907-05911
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Namuk Park, Taekyu Lee, Songkuk Kim:
Differentiable Bayesian Neural Network Inference for Data Streams. CoRR abs/1907.05911 (2019)

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