Detecting Stationary Atmospheric Waves in Venus with a Self-Supervised Adversarial Model Using Anomaly Detection
Published in Korea Software Congress (KSC), 2023
Approaching the detection of atmospheric waves through an adversarially trained self-supervised anomaly detection models. Awarded Grand Prize for best student paper (최우수상)
Recommended citation: Jun Seong Kim, Husnu Baris Baydargil, Jose Eduardo Silva, Yeon-Joo Lee, Meeyoung Cha. (2023). " Detecting Stationary Atmospheric Waves in Venus with a Self-Supervised Adversarial Model Using Anomaly Detection." Korea Software Congress. 1(1). https://jeon0001.github.io/junseongkim.com/files/VenusPaper2.pdf