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2020 – today
- 2026
[j4]Mina Jamshidi Idaji, Julius Hense, Tom Neuhäuser, Augustin Krause, Yanqing Luo, Oliver Eberle, Thomas Schnake, Laure Ciernik, Farnoush Rezaei Jafari, Reza Vahidimajd, Jonas Dippel, Christoph Walz, Frederick Klauschen, Andreas Mock, Klaus-Robert Müller:
Beyond attention heatmaps: How to get better explanations for multiple instance learning models in histopathology. Medical Image Anal. 113: 104148 (2026)- [i18]Mina Jamshidi Idaji, Julius Hense, Tom Neuhäuser, Augustin Krause, Yanqing Luo, Oliver Eberle, Thomas Schnake, Laure Ciernik, Farnoush Rezaei Jafari, Reza Vahidimajd, Jonas Dippel, Christoph Walz, Frederick Klauschen, Andreas Mock, Klaus-Robert Müller:
Beyond Attention Heatmaps: How to Get Better Explanations for Multiple Instance Learning Models in Histopathology. CoRR abs/2603.08328 (2026) - 2025
- [c11]Antonia Karamolegkou
, Oliver Eberle, Phillip Rust, Carina Kauf, Anders Søgaard:
Trick or Neat: Adversarial Ambiguity and Language Model Evaluation. ACL (Findings) 2025: 18542-18561 - [c10]Oliver Eberle, Thomas McGee, Hamza Giaffar, Taylor W. Webb, Ida Momennejad:
How do LLMs Solve Multi-step Reasoning? An Algorithmic Evaluation. CogSci 2025 - [c9]Oliver Eberle, Thomas McGee, Hamza Giaffar, Taylor Whittington Webb, Ida Momennejad:
Position: We Need An Algorithmic Understanding of Generative AI. ICML (Position Papers) 2025 - [c8]Laura Kopf, Nils Feldhus, Kirill Bykov, Philine Lou Bommer, Anna Hedström, Marina M.-C. Höhne, Oliver Eberle:
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework. NeurIPS 2025 - [i17]Lorenz Linhardt, Tom Neuhäuser, Lenka Tetková, Oliver Eberle:
Cat, Rat, Meow: On the Alignment of Language Model and Human Term-Similarity Judgments. CoRR abs/2504.07965 (2025) - [i16]Antonia Karamolegkou, Oliver Eberle, Phillip Rust, Carina Kauf, Anders Søgaard:
Trick or Neat: Adversarial Ambiguity and Language Model Evaluation. CoRR abs/2506.01205 (2025) - [i15]Laura Kopf, Nils Feldhus, Kirill Bykov, Philine Lou Bommer, Anna Hedström, Marina M.-C. Höhne, Oliver Eberle:
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework. CoRR abs/2506.15538 (2025) - [i14]Oliver Eberle, Thomas McGee, Hamza Giaffar, Taylor W. Webb, Ida Momennejad:
Position: We Need An Algorithmic Understanding of Generative AI. CoRR abs/2507.07544 (2025) - [i13]Farnoush Rezaei Jafari, Oliver Eberle, Ashkan Khakzar, Neel Nanda:
RelP: Faithful and Efficient Circuit Discovery via Relevance Patching. CoRR abs/2508.21258 (2025) - [i12]Samuel Lippl, Thomas McGee, Kimberly Lopez, Ziwen Pan, Pierce Zhang, Salma Ziadi, Oliver Eberle, Ida Momennejad:
Algorithmic Primitives and Compositional Geometry of Reasoning in Language Models. CoRR abs/2510.15987 (2025) - 2024
- [c7]Stephanie Brandl, Oliver Eberle, Tiago Ribeiro, Anders Søgaard, Nora Hollenstein:
Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations. LREC/COLING 2024: 6544-6556 - [c6]Alexandros Vasileiou, Oliver Eberle:
Explaining Text Similarity in Transformer Models. NAACL-HLT 2024: 7859-7873 - [c5]Julius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller:
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology. NeurIPS 2024 - [c4]Farnoush Rezaei Jafari, Grégoire Montavon, Klaus-Robert Müller, Oliver Eberle:
MambaLRP: Explaining Selective State Space Sequence Models. NeurIPS 2024 - [d2]Oliver Eberle, Jochen Büttner, Hassan El-Hajj, Grégoire Montavon, Klaus-Robert Müller, Matteo Valleriani:
Code and Data for Historical Insights from Sacrobosco Tables Project. Version 1. Zenodo, 2024 [all versions]
- [d1]Oliver Eberle, Jochen Büttner, Hassan El-Hajj, Grégoire Montavon, Klaus-Robert Müller, Matteo Valleriani:
Code and Data for "Historical Insights from Sacrobosco Tables" Project. Version 2. Zenodo, 2024 [all versions] - [i11]Stephanie Brandl, Oliver Eberle, Tiago Ribeiro, Anders Søgaard, Nora Hollenstein:
Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations. CoRR abs/2402.19133 (2024) - [i10]Alexandros Vasileiou, Oliver Eberle:
Explaining Text Similarity in Transformer Models. CoRR abs/2405.06604 (2024) - [i9]Julius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller:
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology. CoRR abs/2406.04280 (2024) - [i8]Farnoush Rezaei Jafari, Grégoire Montavon, Klaus-Robert Müller, Oliver Eberle:
MambaLRP: Explaining Selective State Space Sequence Models. CoRR abs/2406.07592 (2024) - [i7]Stephanie Brandl, Oliver Eberle:
Comparing zero-shot self-explanations with human rationales in multilingual text classification. CoRR abs/2410.03296 (2024) - 2023
- [c3]Oliver Eberle, Ilias Chalkidis, Laura Cabello, Stephanie Brandl:
Rather a Nurse than a Physician - Contrastive Explanations under Investigation. EMNLP 2023: 6907-6920 - [i6]Oliver Eberle, Jochen Büttner, Hassan El-Hajj, Grégoire Montavon, Klaus-Robert Müller, Matteo Valleriani:
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI. CoRR abs/2310.09091 (2023) - [i5]Oliver Eberle, Ilias Chalkidis, Laura Cabello, Stephanie Brandl:
Rather a Nurse than a Physician - Contrastive Explanations under Investigation. CoRR abs/2310.11906 (2023) - 2022
- [b1]Oliver Eberle:
Explainable structured machine learning: insights into similarity, graph and transformer models. Technical University of Berlin, Germany, 2022 - [j3]Hassan El-Hajj, Maryam Zamani, Jochen Büttner, Julius Martinetz, Oliver Eberle, Noga Shlomi, Anna Siebold, Grégoire Montavon, Klaus-Robert Müller, Holger Kantz, Matteo Valleriani:
An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning. Datenbank-Spektrum 22(2): 153-162 (2022) - [j2]Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon:
Building and Interpreting Deep Similarity Models. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1149-1161 (2022) - [j1]Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon:
Higher-Order Explanations of Graph Neural Networks via Relevant Walks. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7581-7596 (2022) - [c2]Oliver Eberle, Stephanie Brandl, Jonas Pilot, Anders Søgaard:
Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze? ACL (1) 2022: 4295-4309 - [c1]Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf:
XAI for Transformers: Better Explanations through Conservative Propagation. ICML 2022: 435-451 - [i4]Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf:
XAI for Transformers: Better Explanations through Conservative Propagation. CoRR abs/2202.07304 (2022) - [i3]Stephanie Brandl, Oliver Eberle, Jonas Pilot, Anders Søgaard:
Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze? CoRR abs/2205.10226 (2022) - 2020
- [i2]Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Grégoire Montavon:
Building and Interpreting Deep Similarity Models. CoRR abs/2003.05431 (2020) - [i1]Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Grégoire Montavon:
XAI for Graphs: Explaining Graph Neural Network Predictions by Identifying Relevant Walks. CoRR abs/2006.03589 (2020)
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