| 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 | 267 | 2021 |
| XAI for transformers: Better explanations through conservative propagation A Ali, T Schnake, O Eberle, G Montavon, KR Müller, L Wolf ICML 2022, 435-451, 2022 | 105 | 2022 |
| 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 | 76 | 2020 |
| 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:2006.03589, 2020 | 52 | 2020 |
| Do transformer models show similar attention patterns to task-specific human gaze? O Eberle, S Brandl, J Pilot, A Søgaard ACL 2022 (Volume 1: Long Papers), 2022 | 37 | 2022 |
| 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 | 11 | 2022 |
| 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 | 8 | 2023 |
| Rather a Nurse than a Physician--Contrastive Explanations under Investigation O Eberle, I Chalkidis, L Cabello, S Brandl EMNLP 2023, 6907-6920, 2023 | 7 | 2023 |
| MambaLRP: Explaining Selective State Space Sequence Models FR Jafari, G Montavon, KR Müller, O Eberle NeurIPS 2024, 2024 | 3 | 2024 |
| Explainable structured machine learning: insights into similarity, graph and transformer models O Eberle Dissertation, Berlin, Technische Universität Berlin, 2022, 2022 | 3* | 2022 |
| Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables O Eberle, J Büttner, H el-Hajj, G Montavon, KR Müller, M Valleriani Science Advances 10 (43), eadj1719, 2024 | 2* | 2024 |
| xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology J Hense, MJ Idaji, O Eberle, T Schnake, J Dippel, L Ciernik, O Buchstab, ... NeurIPS 2024, 2024 | 2 | 2024 |
| Explaining Text Similarity in Transformer Models A Vasileiou, O Eberle NAACL 2024 (Volume 1: Long Papers), 7859–7873, 2024 | 2 | 2024 |
| Comparing zero-shot self-explanations with human rationales in multilingual text classification S Brandl, O Eberle arXiv preprint arXiv:2410.03296, 2024 | | 2024 |
| Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations S Brandl, O Eberle, T Ribeiro, A Søgaard, N Hollenstein LREC-COLING 2024, 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, 2024 | | 2024 |
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyGeverifieerd e-mailadres voor tu-berlin.de
