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Matthias Bethge
Matthias Bethge
Tübingen University & EPFL Visiting Professor
Verified email at bethgelab.org - Homepage
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
40852016
A neural algorithm of artistic style
LA Gatys, AS Ecker, M Bethge
arXiv preprint arXiv:1508.06576, 2015
24292015
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
16502018
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
14872018
Texture synthesis using convolutional neural networks
L Gatys, AS Ecker, M Bethge
Advances in Neural Information Processing Systems, 262-270, 2015
12582015
A note on the evaluation of generative models
L Theis, A Oord, M Bethge
arXiv preprint arXiv:1511.01844, 2015
9432015
Decision-based adversarial attacks: Reliable attacks against black-box machine learning models
W Brendel, J Rauber, M Bethge
arXiv preprint arXiv:1712.04248, 2017
8782017
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
7232016
Decorrelated neuronal firing in cortical microcircuits
AS Ecker, P Berens, GA Keliris, M Bethge, NK Logothetis, AS Tolias
science 327 (5965), 584-587, 2010
6572010
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
5822020
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
5022019
Foolbox: A python toolbox to benchmark the robustness of machine learning models
J Rauber, W Brendel, M Bethge
arXiv preprint arXiv:1707.04131, 2017
4942017
Approximating cnns with bag-of-local-features models works surprisingly well on imagenet
W Brendel, M Bethge
arXiv preprint arXiv:1904.00760, 2019
4062019
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
4012016
Deep gaze i: Boosting saliency prediction with feature maps trained on imagenet
M Kümmerer, L Theis, M Bethge
arXiv preprint arXiv:1411.1045, 2014
3952014
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
3822017
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
3672018
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
3262014
Towards the first adversarially robust neural network model on MNIST
L Schott, J Rauber, M Bethge, W Brendel
arXiv preprint arXiv:1805.09190, 2018
2902018
The effect of noise correlations in populations of diversely tuned neurons
A Ecker, P Berens, A Tolias, M Bethge
Nature Precedings, 1-1, 2011
2632011
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