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2021. 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.
PAMI. Higher-Order Explanations of Graph Neural Networks via Relevant Walks. Thomas Schnake, Oliver Eberle , Jonas Lederer, and 4 more authors. IEEE Transactions on Pattern Analysis and Machine Intelligence May 2021. Bib.
Oliver Eberle is a postdoctoral researcher working in the Machine Learning Group at Technische Universität Berlin. He received a Joint M.Sc. in Computational Neuroscience from TU/HU Berlin in 2017 and a Ph.D. degree in Machine Learning from TU Berlin in 2022.
Oct 13, 2023 · View a PDF of the paper titled Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI, by Oliver Eberle and 5 other authors. Historical materials are abundant.
Oliver Eberle - ACL Anthology. 2024. pdf bib abs. Explaining Text Similarity in Transformer Models. Alexandros Vasileiou | Oliver Eberle. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) pdf bib abs.
Read Oliver Eberle's latest research, browse their coauthor's research, and play around with their algorithms
Oliver Eberle of Technische Universität Berlin presents "Explainable structured machine learning in similarity, graph and transform... Recorded 12 January 2023.
- 53 min
- 530
- Institute for Pure & Applied Mathematics (IPAM)
