Differentiable Bayesian Neural Network Inference for Data Streams. - Namuk Park; Taekyu Lee; Songkuk Kim (CoRR, 2019)

Vector Quantized Bayesian Neural Network Inference for Data Streams. - Namuk Park; Taekyu Lee; Songkuk Kim (AAAI, 2021)

Blurs Make Results Clearer: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness. - Namuk Park; Songkuk Kim (CoRR, 2021)

FlexSketch: Estimation of Probability Density for Stationary and Non-Stationary Data Streams. - Namuk Park; Songkuk Kim (Sensors, 2021)

How Do Vision Transformers Work? - Namuk Park; Songkuk Kim (ICLR, 2022)

Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness. - Namuk Park; Songkuk Kim (ICML, 2022)

What Do Self-Supervised Vision Transformers Learn? - Namuk Park; Wonjae Kim; Byeongho Heo; Taekyung Kim 002; Sangdoo Yun (ICLR, 2023)