3 papers
cs.AI2026
LLM-Generated Feature Pools for Time Series Anomaly Detection
Youssef Attia El Hili, Malik Tiomoko, Corinne Ancourt
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…
cs.DC2026
Proceedings of HLPP 2026: 19th International Symposium on High-Level Parallel Programming and Applications
Chong Li, Corinne Ancourt, Gaétan Hains
This volume contains the ten peer-reviewed papers presented at HLPP 2026, the 19th International Symposium on High-Level Parallel Programming and Applications, held on 9-10 July 20…
cs.LG2025
LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection
Youssef Attia El Hili, Albert Thomas, Malik Tiomoko +4
Model and hyperparameter selection are critical but challenging in machine learning, typically requiring expert intuition or expensive automated search. We investigate whether larg…