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Oliver Eberle
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Higher-order explanations of graph neural networks via relevant walks
T Schnake, O Eberle, J Lederer, S Nakajima, KT Schütt, KR Müller, ...
IEEE transactions on pattern analysis and machine intelligence 44 (11), 7581 …, 2021
1822021
XAI for transformers: Better explanations through conservative propagation
A Ali, T Schnake, O Eberle, G Montavon, KR Müller, L Wolf
International Conference on Machine Learning, 435-451, 2022
602022
Building and interpreting deep similarity models
O Eberle, J Büttner, F Kräutli, KR Müller, M Valleriani, G Montavon
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1149-1161, 2020
582020
XAI for graphs: explaining graph neural network predictions by identifying relevant walks
T Schnake, O Eberle, J Lederer, S Nakajima, KT Schütt, KR Müller, ...
arXiv preprint arXiv:2006.03589, 2020
482020
Do transformer models show similar attention patterns to task-specific human gaze?
O Eberle, S Brandl, J Pilot, A Søgaard
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
242022
An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning
H El-Hajj, M Zamani, J Büttner, J Martinetz, O Eberle, N Shlomi, A Siebold, ...
Datenbank-Spektrum 22 (2), 153-162, 2022
82022
Explainability and transparency in the realm of digital humanities: toward a historian XAI
H El-Hajj, O Eberle, A Merklein, A Siebold, N Shlomi, J Büttner, ...
International Journal of Digital Humanities 5 (2), 299-331, 2023
22023
Rather a Nurse than a Physician--Contrastive Explanations under Investigation
O Eberle, I Chalkidis, L Cabello, S Brandl
arXiv preprint arXiv:2310.11906, 2023
22023
Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations
S Brandl, O Eberle, T Ribeiro, A Søgaard, N Hollenstein
arXiv preprint arXiv:2402.19133, 2024
2024
Rather a nurse than a physician-Contrastive explanations under investigation
I Chalkidis, O Eberle, L Cabello, S Brandl
Northern Lights Deep Learning Conference Abstracts 2024, 2023
2023
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI
O Eberle, J Büttner, H El-Hajj, G Montavon, KR Müller, M Valleriani
arXiv preprint arXiv:2310.09091, 2023
2023
Explainable structured machine learning: insights into similarity, graph and transformer models
O Eberle
Dissertation, Berlin, Technische Universität Berlin, 2022, 2022
2022
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