3 papers
cs.LG2026
LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models
Oroel Ipas, Guillermo Gomez-Trenado, RocÃo Romero-Zaliz +1
Selecting which instances to label is a key challenge in low-label tabular learning. For recent Tabular Foundation Models such as TabPFN, context selection directly determines pred…
cs.LG2026
VACE: Learning Geometrically Structured Representations for Time Series Anomaly Detection
Alberto D. Cencillo, Leonardo Concepción, Isaac Triguero +1
Anomaly detection in multivariate time series is a critical task across a wide range of real-world applications, where abnormal behaviour is rare, labels are unavailable, and the c…
cs.AI2025
Decision-Focused Learning Enhanced by Automated Feature Engineering for Energy Storage Optimisation
Nasser Alkhulaifi, Ismail Gokay Dogan, Timothy R. Cargan +4
Decision-making under uncertainty in energy management is complicated by unknown parameters hindering optimal strategies, particularly in Battery Energy Storage System (BESS) opera…