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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.
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.
Oliver Eberle of Technische Universität Berlin presents "Explainable structured machine learning in similarity, graph and transform...
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- Institute for Pure & Applied Mathematics (IPAM)
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.
View Oliver Eberle’s profile on LinkedIn, a professional community of 1 billion members. Experience: Cellmobs · Location: Los Angeles · 500+ connections on LinkedIn.
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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 | Papers With Code. Search Results for author: Oliver Eberle. Found 7 papers, 4 papers with code. Date Published. Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations. 1 code implementation • 29 Feb 2024 • Stephanie Brandl , Oliver Eberle , Tiago Ribeiro , Anders Søgaard , Nora Hollenstein.
