TY - DATA T1 - Code underlying the publication: "RESTAD: Reconstruction and Similarity Transformer for time series Anomaly Detection" PY - 2024/12/20 AU - Ramin Ghorbani AU - Marcel Reinders AU - David Tax UR - DO - 10.4121/15ba3f7a-cd49-4c24-86e5-084e2e9276df.v1 KW - Time Series KW - Anomaly Detection KW - Radial Basis Function (RBF) kernel KW - Transformer N2 -

This repository contains the official implementation of RESTAD (REconstruction and Similarity-based Transformer for time series Anomaly Detection), a novel framework that integrates reconstruction error with Radial Basis Function (RBF) similarity scores to enhance sensitivity to subtle anomalies. RESTAD leverages a Transformer architecture with an embedded RBF layer to synergistically detect anomalies in time series data, outperforming existing baselines on multiple benchmark datasets.

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