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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 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.
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.
Dr. Oliver T. Unke Postdoctoral Researcher (Sep 2019 - Aug 2021) Later affiliation: DeepMind
6 days ago · Oliver Eberle is a postdoctoral researcher working in the Machine Learning Group at Technische Universität Berlin and visiting fellow at UCLA’s Institute for Pure and Applied Mathematics in Fall 2024. 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.
Jan 12, 2023 · Oliver Eberle of Technische Universität Berlin presents "Explainable structured machine learning in similarity, graph and transform... Recorded 12 January 2023.
- 53 min
- 543
- Institute for Pure & Applied Mathematics (IPAM)
Oliver Eberle: Explainable structured machine learning: insights into similarity, graph and transformer models. Technical University of Berlin, Germany, 2022
