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cs.LG2024
LLM-ABBA: Understanding time series via symbolic approximation
Xinye Chen, Erin Carson, Cheng Kang
The success of large language models (LLMs) for time series has been demonstrated in previous work. Utilizing a symbolic time series representation, one can efficiently bridge the…
cs.LG2024
QABBA: Symbolic Time-Series Compression via Integer-Quantized Aggregation
Erin Carson, Xinye Chen, Fei He +1
The expansion of time-series data from sensors and monitoring systems has made compact representations increasingly important. Such representations should retain signal structure w…