XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks. - Thomas Schnake; Oliver Eberle; Jonas Lederer; Shinichi Nakajima; Kristof T. Schütt; Klaus-Robert Müller; Grégoire Montavon (CoRR, 2020)

Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze? - Oliver Eberle; Stephanie Brandl; Jonas Pilot; Anders Søgaard (ACL (1), 2022)

XAI for Transformers: Better Explanations through Conservative Propagation. - Ameen Ali; Thomas Schnake; Oliver Eberle; Grégoire Montavon; Klaus-Robert Müller; Lior Wolf (ICML, 2022)

An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning. - Hassan El-Hajj; Maryam Zamani; Jochen Büttner; Julius Martinetz; Oliver Eberle; Noga Shlomi; Anna Siebold; Grégoire Montavon; Klaus-Robert Müller; Holger Kantz; Matteo Valleriani (Datenbank-Spektrum, 2022)

Building and Interpreting Deep Similarity Models. - Oliver Eberle; Jochen Büttner; Florian Kräutli; Klaus-Robert Müller; Matteo Valleriani; Grégoire Montavon (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Higher-Order Explanations of Graph Neural Networks via Relevant Walks. - Thomas Schnake; Oliver Eberle; Jonas Lederer; Shinichi Nakajima; Kristof T. Schütt; Klaus-Robert Müller; Grégoire Montavon (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Explainable structured machine learning: insights into similarity, graph and transformer models. - Oliver Eberle (2022)

Rather a Nurse than a Physician - Contrastive Explanations under Investigation. - Oliver Eberle; Ilias Chalkidis; Laura Cabello; Stephanie Brandl (EMNLP, 2023)

Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI. - Oliver Eberle; Jochen Büttner; Hassan El-Hajj; Grégoire Montavon; Klaus-Robert Müller; Matteo Valleriani (CoRR, 2023)

Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations. - Stephanie Brandl; Oliver Eberle; Tiago Ribeiro; Anders Søgaard; Nora Hollenstein (LREC/COLING, 2024)

Explaining Text Similarity in Transformer Models. - Alexandros Vasileiou 002; Oliver Eberle (NAACL-HLT, 2024)

xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology. - Julius Hense; Mina Jamshidi Idaji; Oliver Eberle; Thomas Schnake; Jonas Dippel; Laure Ciernik; Oliver Buchstab; Andreas Mock; Frederick Klauschen; Klaus-Robert Müller (NeurIPS, 2024)

MambaLRP: Explaining Selective State Space Sequence Models. - Farnoush Rezaei Jafari; Grégoire Montavon; Klaus-Robert Müller; Oliver Eberle (NeurIPS, 2024)

Comparing zero-shot self-explanations with human rationales in multilingual text classification. - Stephanie Brandl; Oliver Eberle (CoRR, 2024)

Code and Data for Historical Insights from Sacrobosco Tables Project. - Oliver Eberle; Jochen Büttner; Hassan El-Hajj; Grégoire Montavon; Klaus-Robert Müller; Matteo Valleriani (Zenodo, 2024)

Code and Data for "Historical Insights from Sacrobosco Tables" Project. - Oliver Eberle; Jochen Büttner; Hassan El-Hajj; Grégoire Montavon; Klaus-Robert Müller; Matteo Valleriani (Zenodo, 2024)

Trick or Neat: Adversarial Ambiguity and Language Model Evaluation. - Antonia Karamolegkou; Oliver Eberle; Phillip Rust; Carina Kauf; Anders Søgaard (ACL (Findings), 2025)

Cat, Rat, Meow: On the Alignment of Language Model and Human Term-Similarity Judgments. - Lorenz Linhardt; Tom Neuhäuser; Lenka Tetková; Oliver Eberle (CoRR, 2025)

Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework. - Laura Kopf; Nils Feldhus; Kirill Bykov; Philine Lou Bommer; Anna Hedström; Marina M.-C. Höhne; Oliver Eberle (CoRR, 2025)

Position: We Need An Algorithmic Understanding of Generative AI. - Oliver Eberle; Thomas McGee; Hamza Giaffar; Taylor W. Webb; Ida Momennejad (CoRR, 2025)