Marcel Reinders

RESTAD: Reconstruction and Similarity Based Transformer for Time Series Anomaly Detection

2024

Anomaly detection in time series data is crucial across various domains. The scarcity of labeled data for such tasks has increased the attention towards unsupervised learning methods. These approaches, often relying solely on reconstruction error, …

BADDADAN: Mechanistic Modelling of Time Series Gene Module Expression

2025 · bioRxiv (Cold Spring Harbor Laboratory)

Plants respond to stresses like drought and heat through complex gene regulatory networks (GRNs). To improve resilience, understanding these is crucial, but large-scale GRNs (>100 genes) are difficult to model using ordinary differential equations (ODEs) …