Jacob R. Kauffmann

Orcid: 0000-0003-2667-513X

Affiliations:
  • TU Berlin, Department of Electrical Engineering & Computer Science, Germany


According to our database1, Jacob R. Kauffmann authored at least 13 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Fast and Accurate Explanations of Distance-Based Classifiers by Uncovering Latent Explanatory Structures.
CoRR, August, 2025

Wasserstein Distances Made Explainable: Insights into Dataset Shifts and Transport Phenomena.
CoRR, May, 2025

Explainable AI reveals Clever Hans effects in unsupervised learning models.
Nat. Mac. Intell., 2025

2024
Explainable AI Reveals Clever Hans Effects in Unsupervised Learning Models: Code.
Dataset, November, 2024

From Clustering to Cluster Explanations via Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

XAI for unsupervised learning.
PhD thesis, 2024

The Clever Hans Effect in Unsupervised Learning.
CoRR, 2024

2021
A Unifying Review of Deep and Shallow Anomaly Detection.
Proc. IEEE, 2021

2020
Towards explaining anomalies: A deep Taylor decomposition of one-class models.
Pattern Recognit., 2020

The Clever Hans Effect in Anomaly Detection.
CoRR, 2020

Explaining the Predictions of Unsupervised Learning Models.
Proceedings of the xxAI - Beyond Explainable AI, 2020

2019
From Clustering to Cluster Explanations via Neural Networks.
CoRR, 2019

2018
Unsupervised Detection and Explanation of Latent-class Contextual Anomalies.
CoRR, 2018


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