🍭 Recent Publications

See my Google Scholar, ORCID, arxiv, and ResearchGate for the full publication list. ^†Equal contribution; ^♠Corresponding author

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Preprints & Working Papers

About Test-time training for outlier detection, Simon Klüttermann, Emmanuel Müller Preprint.

Exploring the Impact of Outlier Variability on Anomaly Detection Evaluation Metrics, Minjae Ok, Simon Klüttermann, Emmanuel Müller Preprint.

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Dissertation

Simon Klüttermann Abstract Ensembles for Anomaly Detection and Beyond.

Conference Papers

• Unsupervised Surrogate Anomaly Detection.
  Simon Klüttermann, Tim Katzke, Emmanuel Müller
  ECML-PKDD, 2025. .
• Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection.
  Benedikt Böing^†, Simon Klüttermann^†, Emmanuel Müller
  ICDM, 2022. .
• Evaluating Anomaly Detection Algorithms: The Role of Hyperparameters and Standardized Benchmarks.
  Simon Klüttermann, Shubham Gupta, Emmanuel Müller
  DSAA, 2025. .
• Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks.
  Simon Klüttermann, Jérôme Rutinowski, Christopher Reining, Moritz Roidl, Emmanuel Müller
  ICMLA, 2022.
• Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection.
  Simon Klüttermann, Emmanuel Müller
  IJCNN, 2023.
• On the efficient Explanation of Outlier Detection Ensembles through Shapley Values.
  Simon Klüttermann, Chiara Balestra, Emmanuel Müller
  PAKDD, 2024.
• Towards Highly Efficent Anomaly Detection for Predictive Maintenance.
  Simon Klüttermann, Vanlal Peka, Philipp Doebler, Emmanuel Müller
  ICMLA, 2024.
• On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification.
  Simon Klüttermann, Jérôme Rutinowski, Frederik Polachowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Müller
  ICMLA, 2024.
• The Phenomenon of Correlated Representations in Contrastive Learning.
  Simon Klüttermann, Jérôme Rutinowski, Emmanuel Müller
  IJCNN, 2024.
• Benchmarking Trust: A Metric for Trustworthy Machine Learning.
  Jérôme Rutinowski, Simon Klüttermann, Jan Endendyk, Christopher Reining, Emmanuel Müller
  xAI, 2024.
• A Laser-based Volumetric Measurement Approach for Industrial Settings.
  Jérôme Rutinowski, Niklas Schrödter, Simon Klüttermann, Moritz Roidl, Christian Janiesch
  CASE, 2024.
• Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms.
  Vikas Kumar, Vishesh Srivastava, Sadia Mahjabin, Arindam Pal, Simon Klüttermann, Emmanuel Müller
  IJCNN, 2024.
• Evaluating Anomaly Detection Algorithms: A Multi-Metric Analysis Across Variable Class Imbalances.
  Mohammad Sahadat Hossain, Mohammad Sakhawat Hossain, Simon Klüttermann, Emmanuel Müller
  IJCNN, 2024.

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