KAIST XAI Tutorial 2024 | Domain Specific XAI Techniques for Time Series | Sehyun Lee (KAIST)

This talk focuses on Explainable AI (XAI) techniques specifically designed for time series data. We'll explore how attribution methods can highlight key features in neural networks and discuss how to interpret these insights to better understand the decision-making process of time series models. We'll also introduce a technique for identifying prototypes of temporal patterns learned by these models and explain how to analyze the patterns that the model pays attention to at different points in time. 이 발표에서는 시계열 데이터에 특화된 설명 가능한 인공지능(XAI) 기법을 다룬다. 특히 신경망에 적용된 시계열 데이터의 attribution 기법 예제를 통해, 이 기법…