Matthias Bethge

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Alexander S. EckerUniversity of Göttingen, GermanyVerified email at cs.uni-goettingen.de
Wieland BrendelEmmy Noether Group Leader, University of TübingenVerified email at uni-tuebingen.de
Leon A. GatysApple Inc.Verified email at bethgelab.org
Andreas ToliasDepartment of Neuroscience, Baylor College of MedicineVerified email at cns.bcm.edu
Philipp BerensInstitute for Ophthalmic Research, University of TübingenVerified email at uni-tuebingen.de
Felix WichmannEberhard Karls Universität TübingenVerified email at uni-tuebingen.de
Matthias KümmererCentre for integrative Neuroscience, University TuebingenVerified email at bethgelab.org
Lucas TheisGoogleVerified email at google.com
Robert GeirhosUniversity of Tübingen · International Max Planck Research School for Intelligent Systems (IMPRS-IS)Verified email at uni-tuebingen.de
Claudio MichaelisPhD student, University of TübingenVerified email at uni-tuebingen.de
Jonas RauberUniversity of Tübingen & Max Planck Research School for Intelligent SystemsVerified email at uni-tuebingen.de
Fabian SinzProfessor for Machine Learning, University GöttingenVerified email at cs.uni-goettingen.de
Thomas EulerProfessor for Ophthalmic Research, CIN / Centre for Ophthalmology, University of TübingenVerified email at cin.uni-tuebingen.de
Jakob MackeMachine Learning in Science, Tübingen UniversityVerified email at uni-tuebingen.de
Alexander MathisEPFL (Ecole Polytechnique Fédérale de Lausanne / Swiss Federal Institute of Technology)Verified email at epfl.ch
Mackenzie W. MathisSwiss Federal Institute of Technology in Lausanne (EPFL)Verified email at epfl.ch

Matthias Bethge

Tübingen University & EPFL Visiting Professor

Verified email at bethgelab.org - Homepage

Computational Neuroscience Machine Learning Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Image style transfer using convolutional neural networks LA Gatys, AS Ecker, M Bethge Proceedings of the IEEE conference on computer vision and pattern …, 2016	3982	2016
A neural algorithm of artistic style LA Gatys, AS Ecker, M Bethge arXiv preprint arXiv:1508.06576, 2015	2392	2015
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning A Mathis, P Mamidanna, KM Cury, T Abe, VN Murthy, MW Mathis, ... Nature neuroscience 21 (9), 1281-1289, 2018	1567	2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness R Geirhos, P Rubisch, C Michaelis, M Bethge, FA Wichmann, W Brendel arXiv preprint arXiv:1811.12231, 2018	1427	2018
Texture synthesis using convolutional neural networks L Gatys, AS Ecker, M Bethge Advances in Neural Information Processing Systems, 262-270, 2015	1235	2015
A note on the evaluation of generative models L Theis, A Oord, M Bethge arXiv preprint arXiv:1511.01844, 2015	928	2015
Decision-based adversarial attacks: Reliable attacks against black-box machine learning models W Brendel, J Rauber, M Bethge arXiv preprint arXiv:1712.04248, 2017	850	2017
The functional diversity of retinal ganglion cells in the mouse T Baden, P Berens, K Franke, M Román Rosón, M Bethge, T Euler Nature 529 (7586), 345-350, 2016	710	2016
Decorrelated neuronal firing in cortical microcircuits AS Ecker, P Berens, GA Keliris, M Bethge, NK Logothetis, AS Tolias science 327 (5965), 584-587, 2010	653	2010
Shortcut learning in deep neural networks R Geirhos, JH Jacobsen, C Michaelis, R Zemel, W Brendel, M Bethge, ... Nature Machine Intelligence 2 (11), 665-673, 2020	516	2020
Foolbox: A python toolbox to benchmark the robustness of machine learning models J Rauber, W Brendel, M Bethge arXiv preprint arXiv:1707.04131, 2017	475	2017
Using DeepLabCut for 3D markerless pose estimation across species and behaviors T Nath, A Mathis, AC Chen, A Patel, M Bethge, MW Mathis Nature protocols 14 (7), 2152-2176, 2019	474	2019
Approximating cnns with bag-of-local-features models works surprisingly well on imagenet W Brendel, M Bethge arXiv preprint arXiv:1904.00760, 2019	392	2019
Deep gaze i: Boosting saliency prediction with feature maps trained on imagenet M Kümmerer, L Theis, M Bethge arXiv preprint arXiv:1411.1045, 2014	392	2014
Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq CR Cadwell, A Palasantza, X Jiang, P Berens, Q Deng, M Yilmaz, ... Nature biotechnology 34 (2), 199-203, 2016	390	2016
Controlling perceptual factors in neural style transfer LA Gatys, AS Ecker, M Bethge, A Hertzmann, E Shechtman Proceedings of the IEEE conference on computer vision and pattern …, 2017	374	2017
Generalisation in humans and deep neural networks R Geirhos, CRM Temme, J Rauber, HH Schütt, M Bethge, FA Wichmann Advances in neural information processing systems 31, 2018	348	2018
State dependence of noise correlations in macaque primary visual cortex AS Ecker, P Berens, RJ Cotton, M Subramaniyan, GH Denfield, ... Neuron 82 (1), 235-248, 2014	321	2014
Towards the first adversarially robust neural network model on MNIST L Schott, J Rauber, M Bethge, W Brendel arXiv preprint arXiv:1805.09190, 2018	282	2018
The effect of noise correlations in populations of diversely tuned neurons A Ecker, P Berens, A Tolias, M Bethge Nature Precedings, 1-1, 2011	261	2011

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