Jacob R. Kauffmann

According to our database, Jacob R. Kauffmann authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

From Clustering to Cluster Explanations via Neural Networks.

Jacob R. Kauffmann, Malte Esders, Lukas Ruff, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller

IEEE Trans. Neural Networks Learn. Syst., February, 2024

2021

A Unifying Review of Deep and Shallow Anomaly Detection.

Lukas Ruff, Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G. Dietterich, Klaus-Robert Müller

Proc. IEEE, 2021

2020

Towards explaining anomalies: A deep Taylor decomposition of one-class models.

Jacob R. Kauffmann, Klaus-Robert Müller, Grégoire Montavon

Pattern Recognit., 2020

The Clever Hans Effect in Anomaly Detection.

Jacob R. Kauffmann, Lukas Ruff, Grégoire Montavon, Klaus-Robert Müller

CoRR, 2020

Explaining the Predictions of Unsupervised Learning Models.

Grégoire Montavon, Jacob R. Kauffmann, Wojciech Samek, Klaus-Robert Müller

Proceedings of the xxAI - Beyond Explainable AI, 2020

2019

From Clustering to Cluster Explanations via Neural Networks.

Jacob R. Kauffmann, Malte Esders, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller

CoRR, 2019

2018

Unsupervised Detection and Explanation of Latent-class Contextual Anomalies.

Jacob R. Kauffmann, Grégoire Montavon, Luiz Alberto Lima, Shinichi Nakajima, Klaus-Robert Müller, Nico Görnitz

CoRR, 2018