2 papers
cs.LG2026
Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model
Yangmeng Li, Kei Sano, Toshihiro Kitao +4
Achieving resilient and high-quality manufacturing requires reliable data-driven anomaly detection methods that are capable of addressing differences in behaviors among different i…
math.OC2026
NOMADS: Non-Markovian Optimization-based Modeling for Approximate Dynamics with Spatially-homogeneous Memory
Ryoji Anzaki, Kazuhiro Sato
We propose a system identification method, Non-Markovian Optimization-based Modeling for Approximate Dynamics with Spatially-homogeneous memory (NOMADS), for identifying linear dyn…