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Dr. Oliver Eberle

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Technische Universität Berlin
Machine Learning / Intelligent Data Analysis (IDA)

Marchstraße 23, 10587 Berlin
https://www.tu.berlin/en/ml

Oliver Eberle Bifold Berlin Postdoctoral Researcher

Dr. Oliver Eberle

Postdoctoral Researcher

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. 

His research focuses on explainable Artificial Intelligence (XA), Natural Language Processing, and applications to the Digital Humanities and Cognitive Science. Together with colleagues, he has worked on developing XAI methods for complex model structures, especially transformer architectures and higher-order explanations for similarity models and graph neural networks.
 

  • Explainable AI
  • Deep Learning
  • Natural Language Processing
  • Digital Humanities

Stephanie Brandl, Oliver Eberle, Tiago Ribeiro, Anders Søgaard, Nora Hollenstein

Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations

February 29, 2024
https://doi.org/10.48550/arXiv.2402.19133

Thomas Schnake, Oliver Eberle, Jonas Lederer, Shinichi Nakajima, Kristof T. Schütt, Klaus-Robert Müller, Gregoire Montavon

Higher-Order Explanations of Graph Neural Networks via Relevant Walks

November 01, 2022
https://doi.org/10.1109/TPAMI.2021.3115452

Hassan El-Hajj, Maryam Zamani, Jochen Büttner, Julius Martinetz, Oliver Eberle, Noga Shlomi, Anna Siebold, Grégoire Montavon, Klaus-Robert Müller, Holger Kantz & Matteo Valleriani

An Ever-Expanding Humanities Knowledge Graph: The Sphaera Corpus at the Intersection of Humanities, Data Management, and Machine Learning

May 16, 2022
https://doi.org/10.1007/s13222-022-00414-1

Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller, Lior Wolf

XAI for Transformers: Better Explanations through Conservative Propagation

2022
https://proceedings.mlr.press/v162/ali22a.html

Oliver Eberle, Jochen Büttner, Florian Kräutli, Klaus-Robert Müller, Matteo Valleriani, Gregoire Montavon

Building and Interpreting Deep Similarity Models

September 01, 2020
https://doi.org/10.1109/TPAMI.2020.3020738

News
Machine Learning| Sep 23, 2023

CORALS at Tokyo Biennale 2023

CORALS is a kinetic sound sculpture by the Italian media artist Marco Barotti. The installation was created as part of the BIFOLD Artist in Residence Program and is now being exhibited at one of the largest art fairs in Asia.

News
Machine Learning| Sep 21, 2023

Peter-Haber-Preis for AI in historical sciences

Bachelor student Anika Merklein's award-winning poster uses AI to unveil secrets of early printing.