Jacob R. Kauffmann

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 9

Top Topics

Anomaly Detection

Clustering Procedure

Validity Measures

Top Venues

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jacob R. Kauffmann, Malte Esders, Lukas Ruff, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
From Clustering to Cluster Explanations via Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
A Unifying Review of Deep and Shallow Anomaly Detection. Proc. IEEE 109 (5) (2021)
Jacob R. Kauffmann, Klaus-Robert Müller, Grégoire Montavon
Towards explaining anomalies: A deep Taylor decomposition of one-class models. Pattern Recognit. 101 (2020)
Jacob R. Kauffmann, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller
The Clever Hans Effect in Anomaly Detection. CoRR (2020)
Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller
A Unifying Review of Deep and Shallow Anomaly Detection. CoRR (2020)
Grégoire Montavon, Jacob R. Kauffmann, Wojciech Samek, Klaus-Robert Müller
Explaining the Predictions of Unsupervised Learning Models. xxAI@ICML (2020)
Jacob R. Kauffmann, Malte Esders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller
From Clustering to Cluster Explanations via Neural Networks. CoRR (2019)
Jacob R. Kauffmann, Klaus-Robert Müller, Grégoire Montavon
Towards Explaining Anomalies: A Deep Taylor Decomposition of One-Class Models. CoRR (2018)
Jacob R. Kauffmann, Grégoire Montavon, Luiz Alberto Lima, Shinichi Nakajima, Klaus-Robert Müller, Nico Görnitz
Unsupervised Detection and Explanation of Latent-class Contextual Anomalies. CoRR (2018)