Simon Klüttermann

27 papers A* 1B 5C 3Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
FoMo X: Modular Explainability Signals for Outlier Detection Foundation Models.
CoRR
Simon Klüttermann, Tim Katzke, Phuong Huong Nguyen, Emmanuel Müller
2026 J jnl
RangeAD: Fast On-Model Anomaly Detection.
CoRR
Luca Hinkamp, Simon Klüttermann, Emmanuel Müller
2026 J jnl
Towards Foundation Models for Consensus Rank Aggregation.
CoRR
Yijun Jin, Simon Klüttermann, Chiara Balestra, Emmanuel Müller
2026 J jnl
Unsupervised Symbolic Anomaly Detection.
CoRR
Md Maruf Hossain, Tim Katzke, Simon Klüttermann, Emmanuel Müller
2025 — —
Abstract ensembles for anomaly detection and beyond.
Simon Klüttermann
2025 B conf
Evaluating Anomaly Detection Algorithms: The Role of Hyperparameters and Standardized Benchmarks.
DSAA
Simon Klüttermann, Shubham Gupta, Emmanuel Müller
2025 J jnl
Polyra Swarms: A Shape-Based Approach to Machine Learning.
CoRR
Simon Klüttermann, Emmanuel Müller
2025 J jnl
Rare anomalies require large datasets: About proving the existence of anomalies.
CoRR
Simon Klüttermann, Emmanuel Müller
2025 J jnl
Towards Evolutionary Optimization Using the Ising Model.
CoRR
Simon Klüttermann
2025 — conf
Unsupervised Surrogate Anomaly Detection.
ECML/PKDD (1)
Simon Klüttermann, Tim Katzke, Emmanuel Müller
2025 J jnl
Unsupervised Surrogate Anomaly Detection.
CoRR
Simon Klüttermann, Tim Katzke, Emmanuel Müller
2025 J jnl
We Need to Rethink Benchmarking in Anomaly Detection.
CoRR
Philipp Röchner, Simon Klüttermann, Franz Rothlauf, Daniel Schlör
2024 — conf
A Laser-based Volumetric Measurement Approach for Industrial Settings.
CASE
Jérôme Rutinowski, Niklas Schrötler, Simon Klüttermann, Moritz Roidl, Christian Janiesch
2024 J jnl
About Test-time training for outlier detection.
CoRR
Simon Klüttermann, Emmanuel Müller
2024 B conf
Autoencoder Optimization for Anomaly Detection: A Comparative Study with Shallow Algorithms.
IJCNN
Vikas Kumar, Vishesh Srivastava, Sadia Mahjabin, Arindam Pal, Simon Klüttermann, Emmanuel Müller
2024 — conf
Benchmarking Trust: A Metric for Trustworthy Machine Learning.
xAI (1)
Jérôme Rutinowski, Simon Klüttermann, Jan Endendyk, Christopher Reining, Emmanuel Müller
2024 B conf
Evaluating Anomaly Detection Algorithms: A Multi-Metric Analysis Across Variable Class Imbalances.
IJCNN
Mohammad-Sahadet Hossain, Mohammad Sakhawat Hossain, Simon Klüttermann, Emmanuel Müller
2024 J jnl
Exploring the Impact of Outlier Variability on Anomaly Detection Evaluation Metrics.
CoRR
Minjae Ok, Simon Klüttermann, Emmanuel Müller
2024 C conf
On the Effectiveness of Heterogeneous Ensemble Methods for Re-Identification.
ICMLA
Simon Klüttermann, Jérôme Rutinowski, Frederik Polachowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Müller
2024 J jnl
On the Effectiveness of Heterogeneous Ensemble Methods for Re-identification.
CoRR
Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Britta Grimme, Moritz Roidl, Emmanuel Müller
2024 — conf
On the Efficient Explanation of Outlier Detection Ensembles Through Shapley Values.
PAKDD (3)
Simon Klüttermann, Chiara Balestra, Emmanuel Müller
2024 B conf
The Phenomenon of Correlated Representations in Contrastive Learning.
IJCNN
Simon Klüttermann, Jérôme Rutinowski, Emmanuel Müller
2024 C conf
Towards Highly Efficient Anomaly Detection for Predictive Maintenance.
ICMLA
Simon Klüttermann, Vanlal Peka, Philipp Doebler, Emmanuel Müller
2023 B conf
Evaluating and Comparing Heterogeneous Ensemble Methods for Unsupervised Anomaly Detection.
IJCNN
Simon Klüttermann, Emmanuel Müller
2023 — conf
On Graph Representation based Re-Identification - A Proof of Concept.
ICDM (Workshops)
Simon Klüttermann, Jérôme Rutinowski, Anh Nguyen, Christopher Reining, Moritz Roidl, Emmanuel Müller
2022 A* conf
Post-Robustifying Deep Anomaly Detection Ensembles by Model Selection.
ICDM
Benedikt Böing, Simon Klüttermann, Emmanuel Müller
2022 C conf
Towards Graph Representation based Re-Identification of Chipwood Pallet Blocks.
ICMLA
Simon Klüttermann, Jérôme Rutinowski, Christopher Reining, Moritz Roidl, Emmanuel Müller