Ctrl K

Code underlying the publication: "RESTAD: Reconstruction and Similarity Transformer for time series Anomaly Detection"

Code underlying the publication: "RESTAD: Reconstruction and Similarity Transformer for time series Anomaly Detection"

3
mentions
3
contributors

Description

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.

Logo of Code underlying the publication: "RESTAD: Reconstruction and Similarity Transformer for time series Anomaly Detection"
Keywords
Anomaly detection
Radial Basis Function (RBF) kernel
Time Series
Transformer
Programming languages
License
  • MIT
</>Source code
Packages

Reference papers

Mentions

Contributors

DT

Member of community

4TU