3 papers
cs.LG2026
Soft-MSM: Differentiable Context-Aware Elastic Alignment for Time Series
Christopher Holder, Anthony Bagnall
Elastic distances like dynamic time warping (DTW) are central to time series machine learning because they compare sequences under local temporal misalignment. Soft-DTW is an adapt…
cs.LG2026
The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification
Matthew Middlehurst, Aiden Rushbrooke, Ali Ismail-Fawaz +6
Time series machine learning (TSML) is a growing research field that spans a wide range of tasks. The popularity of established tasks such as classification, clustering, and extrin…
cs.LG2024
Rock the KASBA: Blazingly Fast and Accurate Time Series Clustering
Christopher Holder, Anthony Bagnall
Time series data has become increasingly prevalent across numerous domains, driving a growing demand for time series machine learning techniques. Among these, time series clusterin…