| Image style transfer using convolutional neural networks LA Gatys, AS Ecker, M Bethge Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 2614 | 2016 |
| A neural algorithm of artistic style LA Gatys, AS Ecker, M Bethge arXiv preprint arXiv:1508.06576, 2015 | 1704 | 2015 |
| Texture synthesis using convolutional neural networks L Gatys, AS Ecker, M Bethge Advances in Neural Information Processing Systems, 262-270, 2015 | 790 | 2015 |
| A note on the evaluation of generative models L Theis, A Oord, M Bethge arXiv preprint arXiv:1511.01844, 2015 | 731 | 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 | 642 | 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 | 621 | 2018 |
| Decorrelated neuronal firing in cortical microcircuits AS Ecker, P Berens, GA Keliris, M Bethge, NK Logothetis, AS Tolias science 327 (5965), 584-587, 2010 | 592 | 2010 |
| The functional diversity of retinal ganglion cells in the mouse T Baden, P Berens, K Franke, MR Rosón, M Bethge, T Euler Nature 529 (7586), 345-350, 2016 | 514 | 2016 |
| Decision-based adversarial attacks: Reliable attacks against black-box machine learning models W Brendel, J Rauber, M Bethge arXiv preprint arXiv:1712.04248, 2017 | 457 | 2017 |
| Deep gaze i: Boosting saliency prediction with feature maps trained on imagenet M Kümmerer, L Theis, M Bethge arXiv preprint arXiv:1411.1045, 2014 | 320 | 2014 |
| Foolbox v0. 8.0: A python toolbox to benchmark the robustness of machine learning models J Rauber, W Brendel, M Bethge arXiv preprint arXiv:1707.04131 5, 2017 | 293 | 2017 |
| 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 | 288 | 2016 |
| 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 | 278 | 2014 |
| 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 | 252 | 2017 |
| The effect of noise correlations in populations of diversely tuned neurons A Ecker, P Berens, A Tolias, M Bethge Nature Precedings, 1-1, 2011 | 231 | 2011 |
| Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing S Bridle, ST Balan, M Bethge, M Gentile, S Harmeling, C Heymans, ... Monthly Notices of the Royal Astronomical Society 405 (3), 2044-2061, 2010 | 215 | 2010 |
| Generating spike trains with specified correlation coefficients JH Macke, P Berens, AS Ecker, AS Tolias, M Bethge Neural computation 21 (2), 397-423, 2009 | 215 | 2009 |
| Approximating cnns with bag-of-local-features models works surprisingly well on imagenet W Brendel, M Bethge arXiv preprint arXiv:1904.00760, 2019 | 209 | 2019 |
| 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 | 190 | 2019 |
| Generative image modeling using spatial lstms L Theis, M Bethge arXiv preprint arXiv:1506.03478, 2015 | 182 | 2015 |
Alexander S. EckerUniversity of Göttingen, GermanyVerified email at cs.uni-goettingen.de
