3 papers
cs.LG2026
CENDRe: Concept Extraction with Natural Domain Representations
Antonia Holzapfel, Andres Felipe Posada Moreno, Sebastian Trimpe
Convolutional neural networks (CNNs) are widely used for time-series classification, but their deployment in critical domains requires understanding the temporal and spectral patte…
cs.LG2025
Concept Extraction for Time Series with ECLAD-ts
Antonia Holzapfel, Andres Felipe Posada-Moreno, Sebastian Trimpe
Convolutional neural networks (CNNs) for time series classification (TSC) are being increasingly used in applications ranging from quality prediction to medical diagnosis. The blac…
eess.SY2023
Event-Triggered Safe Bayesian Optimization on Quadcopters
Antonia Holzapfel, Paul Brunzema, Sebastian Trimpe
Bayesian optimization (BO) has proven to be a powerful tool for automatically tuning control parameters without requiring knowledge of the underlying system dynamics. Safe BO metho…