2 papers
cs.LG2026
Conditional Attribution for Root Cause Analysis in Time-Series Anomaly Detection
Shashank Mishra, Karan Patil, Cedric Schockaert +2
Root cause analysis (RCA) for time-series anomaly detection is critical for the reliable operation of complex real-world systems. Existing explanation methods often rely on unreali…
cs.LG2026
GenAutoML: An Agentic Framework for Dynamic Architecture Generation and Optimization in Time-Series Analysis
Oleeviya Babu Poikarayil, Cédric Schockaert, Abdulrahman Nahhas +3
Designing neural architectures for time-series forecasting and anomaly detection remains a resource-intensive task that often requires substantial domain expertise. Traditional Aut…