2 papers
cs.LG2026
FMMVCC: Fuzzy Mamba-based Multi-View Contrastive Clustering for Univariate Time Series
Donato Cerciello, Leonardo Schiavo, Angel Panizo-LLedot +2
In many realistic scenarios, large volumes of time series data are generated with limited or expensive annotations. This limitation makes supervised learning methods difficult to a…
cs.LG2025
Decoding Latent Spaces: Assessing the Interpretability of Time Series Foundation Models for Visual Analytics
Inmaculada Santamaria-Valenzuela, Victor Rodriguez-Fernandez, Javier Huertas-Tato +2
The present study explores the interpretability of latent spaces produced by time series foundation models, focusing on their potential for visual analysis tasks. Specifically, we…