Author

Youssef Attia El Hili

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#artificial intelligence Preprint Sep 2026

LLM-Generated Feature Pools for Time Series Anomaly Detection

We study how far a simple statistical pipeline can go on univariate time series anomaly detection under a strict selection protocol. The method extracts a small pool of statistics over sliding windows, scores each window with a transductive robust (MAD) model, and selects a feature subset per domain on a held-out tunin...

Youssef Attia El Hili, Malik Tiomoko, Corinne Ancourt · 0 citations

#machine learning Preprint Sep 2026

Tabby: An Open Pretraining Recipe for Time Series Foundation Models

In this report, we release Tabby, a long context probabilistic time series foundation model, together with a complete and open recipe of how it was built. Tabby adopts an encoder-only patch Transformer architecture and concentrates the contributions on the data and the training procedure. The pretraining corpus combine...

Shi-Feng Xie, Bahaeddine Abdessalem, Ze-Hao Xiao et al. · 1 citation