Jörn-Henrik Jacobsen

I am a postdoc in the lab of Matthias Bethge in Tübingen. Previously, I was a Ph.D. student at the University of Amsterdam at the crossroads between deep learning, computer vision, and neuroscience, supervised by Arnold Smeulders. My background is in physics with a specialization in neuroscience.

My current research is focused on the problem that we have little knowledge about why Deep Networks perform so well and which properties of the data they use to solve given tasks. I am working on understanding and improving Deep Convolutional Networks by imposing additional structure on them. Carefully structured models can help us to open up the "black-box", so we can draw actual conclusions about what these networks learn, how they learn and when they will fail.

Publications

J.-H. Jacobsen, A.W.M. Smeulders, E. Oyallon. i-RevNet: Deep Invertible Networks. ICLR, 2018. [Paper, Code]

J.-H. Jacobsen, B. de Brabandere, A.W.M. Smeulders. Dynamic Steerable Blocks in Deep Residual Networks. BMVC, 2017. [Paper]

J.-H. Jacobsen, E. Oyallon, S. Mallat, A.W.M. Smeulders. Hierarchical Attribute CNNs. ICML PADL, 2017. [Paper, Code]

J.-H. Jacobsen, B. de Brabandere, A.W.M. Smeulders. Dynamic Steerable Frame Networks. Pre-print, 2017. [Paper]

J.-H. Jacobsen, J. v. Gemert, Z. Lou, A.W.M. Smeulders. Structured Receptive Fields in CNNs. CVPR, 2016. [Paper, Code]

J.-H. Jacobsen, A.W.M. Smeulders. Deep Learning for Neuroimage Classification. OHBM, 2015.

J.-H. Jacobsen, J. Stelzer, T. H. Fritz, G. Chételat, R. L. Joie, R. Turner. Why musical memory can be preserved in advanced Alzheimer's disease. Brain, 2015. [Paper] [Scientific commentary by Clark and Warren].

On the news: BBC; Science News; Reddit Frontpage; MedicalXpress; The Verge; El Pais; Noisey; Max-Planck-Society; Spiegel Online

R. Turner, J.-H. Jacobsen. What stays when everything goes. OUPblog, 2015. Oxford University Press Blog.

Previous Collaborations

Hierarchical CNNs - Edouard Oyallon and Stéphane Mallat; Data Team, ENS, Paris.

Dynamic Steerable Frame Networks - Bert de Brabandere; ESAT, KU Leuven.

Large-scale fMRI Brain analysis - Max-Planck-Institute CBS, Leipzig; Max-Planck-Institute Kyb, Tübingen.

Alzheimer's and Musical Memory Preservation - Prof. Robert Turner; Max-Planck-Institute CBS, Leipzig.

Structured Receptive Field CNNs - Jan v. Gemert, TU Delft.

Jörn-Henrik Jacobsen
AG Bethge
Centre for Integrative Neuroscience
Otfried-Müller-Str. 25
72076 Tübingen
Germany
Email: joern.jacobsen@bethgelab.org