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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. 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.
Dive into structured machine learning with Oliver Eberle's presentation at IPAM, exploring explanation techniques for complex models. Less than 1-hour workload.
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)
Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf. Proceedings of the 39th International Conference on Machine Learning , PMLR 162:435-451, 2022. Abstract. Transformers have become an important workhorse of machine learning, with numerous applications.
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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:
