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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.
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. ,...
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.
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)
2 days ago · Learned self-attention functions in state-of-the-art NLP models often correlate with human attention. We investigate whether self-attention in large-scale pre-trained language models is as predictive of human eye fixation patterns during task-reading as classical cognitive models of human attention. We compare attention functions across two ...
XAI for Transformers: Better Explanations through Conservative Propagation. 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.
Paper. Add Code. Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI. no code implementations • 13 Oct 2023 • Oliver Eberle , Jochen Büttner , Hassan El-Hajj , Grégoire Montavon , Klaus-Robert Müller , Matteo Valleriani.
