Jacob R. Kauffmann

According to our database, Jacob R. Kauffmann authored at least 14 papers between 2018 and 2026.

Collaborative distances:

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

2026

Wasserstein Distances Made Explainable: Insights Into Dataset Shifts and Transport Phenomena.

Philip Naumann, Jacob R. Kauffmann, Grégoire Montavon

IEEE Trans. Pattern Anal. Mach. Intell., June, 2026

Reliable Modeling of Distribution Shifts via Displacement-Reshaped Optimal Transport.

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

CoRR, May, 2026

Fast and accurate explanations of distance-based classifiers by uncovering latent explanatory structures.

Florian Bley, Jacob R. Kauffmann, Simon León Krug, Klaus-Robert Müller, Grégoire Montavon

Pattern Recognit., 2026

2025

Explainable AI reveals Clever Hans effects in unsupervised learning models.

Jacob R. Kauffmann, Jonas Dippel, Lukas Ruff, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon

Nat. Mac. Intell., 2025

2024

Explainable AI Reveals Clever Hans Effects in Unsupervised Learning Models: Code.

Jacob R. Kauffmann, Jonas Dippel, Lukas Ruff, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon

Dataset, November, 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

XAI for unsupervised learning.

Jacob R. Kauffmann

PhD thesis, 2024

The Clever Hans Effect in Unsupervised Learning.

Jacob R. Kauffmann, Jonas Dippel, Lukas Ruff, Wojciech Samek, Klaus-Robert Müller, Grégoire Montavon

CoRR, 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