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Picture for Fabian H. Sinz

Fabian H. Sinz

Institute for Bioinformatics and Medical Informatics, University of Tuebingen, Germany, Institute of Computer Science and Campus Institute Data Science, University of Goettingen, Germany, Department of Neuroscience, Baylor College of Medicine, Houston, USA, Center for Neuroscience and Artificial Intelligence, Baylor College of Medicine, Houston, USA

The Sensorium competition on predicting large-scale mouse primary visual cortex activity


Jun 17, 2022
Konstantin F. Willeke, Paul G. Fahey, Mohammad Bashiri, Laura Pede, Max F. Burg, Christoph Blessing, Santiago A. Cadena, Zhiwei Ding, Konstantin-Klemens Lurz, Kayla Ponder, Taliah Muhammad, Saumil S. Patel, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz

* NeurIPS 2022 Competition Track 

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Towards robust vision by multi-task learning on monkey visual cortex


Jul 29, 2021
Shahd Safarani, Arne Nix, Konstantin Willeke, Santiago A. Cadena, Kelli Restivo, George Denfield, Andreas S. Tolias, Fabian H. Sinz

* 16 pages, 11 figures 

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Factorized Neural Processes for Neural Processes: $K$-Shot Prediction of Neural Responses


Oct 22, 2020
R. James Cotton, Fabian H. Sinz, Andreas S. Tolias

* 14 pages, 5 figures, NeurIPS 2020 conference paper 

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Learning From Brains How to Regularize Machines


Nov 11, 2019
Zhe Li, Wieland Brendel, Edgar Y. Walker, Erick Cobos, Taliah Muhammad, Jacob Reimer, Matthias Bethge, Fabian H. Sinz, Xaq Pitkow, Andreas S. Tolias

* 14 pages, 7 figures, NeurIPS 2019 

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A rotation-equivariant convolutional neural network model of primary visual cortex


Sep 27, 2018
Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis, Paul G. Fahey, Santiago A. Cadena, Edgar Y. Walker, Erick Cobos, Jacob Reimer, Andreas S. Tolias, Matthias Bethge


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Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes


Mar 06, 2017
Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel

* Published as a conference paper at ICLR 2017 

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