Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Representing Time Series as Structured Programs for LLM Reasoning
Jaeho Kim, Changhun Oh, Seokhyun Lee +2
Large language models (LLMs) have demonstrated strong reasoning and instruction-following capabilities, making them potentially powerful tools for time-series analysis. However, ti…
cs.LG2026
INSHAPE: Instance-Level Shapelets for Interpretable Time-Series Classification
Seongjun Lee, Seokhyun Lee, Changhee Lee
Discovering shapelets -- i.e., discriminative temporal patterns within time series -- has been widely studied to address the inherent complexity of time-series classification (TSC)…