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Dr. Jan E. Gerken

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

Secretariat MAR 4-1, Marchstraße 23, 10587 Berlin
https://www.tu.berlin/en/ml

Dr. Jan E. Gerken

Postdoctoral Researcher

Jan Gerken is a member of the machine learning group at Technical University of Berlin. He obtained his PhD in string theory from the Max Planck Institute for Gravitational Physics in 2020. Before he joined BIFOLD in 2022, he was a postdoctoral researcher at the Department for Mathematical Sciences at Chalmers in Gothenburg / Sweden

2020 Otto Hahn medal of the Max Planck Society
2014-2016 Scholarship of the German National Merit Foundation (Studienstiftung des deutschen Volkes)

 

  • Theoretical approaches to deep neural networks
  • Equivariant neural networks and geometric deep learning
  • Explainable AI in particular in the context of computer vision
  • Deep generative models

Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel

Diffeomorphic Counterfactuals with Generative Models

June 10 , 2022
https://arxiv.org/abs/2206.05075v1

Jan E. Gerken, Oscar Carlsson, Hampus Linander, Fredrik Ohlsson, Christoffer Petersson, Daniel Persson

Equivariance versus Augmentation for Spherical Images

February 08 , 2022
https://arxiv.org/abs/2202.03990