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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.
PAMI. Building and Interpreting Deep Similarity Models. Oliver Eberle , Jochen Büttner, Florian Kräutli, and 3 more authors. IEEE Transactions on Pattern Analysis and Machine Intelligence May 2022. Bib.
2011-2014. B.Sc. Technische Universität Berlin. Physical Engineering Science with focus on dynamical systems. Projects. Semantic Topic Vectors. Extracting a thematic code from a large text corpus was the goal of this project.
Jan 12, 2023 · Oliver Eberle of Technische Universität Berlin presents "Explainable structured machine learning in similarity, graph and transform...
- 53 min
- 530
- Institute for Pure & Applied Mathematics (IPAM)
Oliver Eberle received the Joint MSc degrees in computational neuroscience from Technische Universität Berlin, Germany, and Humboldt Universität zu Berlin, Germany, in 2017. He is currently working towards the PhD degree in the Machine Learning Group, TU Berlin, Germany, and his research focuses on explainable machine learning and natural ...
Sehen Sie sich das Profil von Oliver Eberle auf LinkedIn, einer professionellen Community mit mehr als 1 Milliarde Mitgliedern, an. Machine Learning Researcher at TU Berlin · Berufserfahrung:...
- Technische Universität Berlin
