| Large scale transductive SVMs R Collobert, F Sinz, J Weston, L Bottou Journal of Machine Learning Research 7 (Aug), 1687-1712, 2006 | 484 | 2006 |
| Principles of connectivity among morphologically defined cell types in adult neocortex X Jiang, S Shen, CR Cadwell, P Berens, F Sinz, AS Ecker, S Patel, ... Science 350 (6264), aac9462, 2015 | 357 | 2015 |
| Trading convexity for scalability R Collobert, F Sinz, J Weston, L Bottou Proceedings of the 23rd international conference on Machine learning, 201-208, 2006 | 341 | 2006 |
| Inference with the universum J Weston, R Collobert, F Sinz, L Bottou, V Vapnik Proceedings of the 23rd international conference on Machine learning, 1009-1016, 2006 | 156 | 2006 |
| Population code in mouse V1 facilitates readout of natural scenes through increased sparseness E Froudarakis, P Berens, AS Ecker, RJ Cotton, FH Sinz, D Yatsenko, ... Nature neuroscience 17 (6), 851, 2014 | 110 | 2014 |
| An analysis of inference with the universum FH Sinz, O Chapelle, A Agarwal, B Schölkopf Advances in Neural Information Processing Systems 20: 21st Annual Conference …, 2008 | 80* | 2008 |
| Evaluating predictive uncertainty challenge J Quinonero-Candela, CE Rasmussen, F Sinz, O Bousquet, B Schölkopf Machine Learning Challenges Workshop, 1-27, 2005 | 54 | 2005 |
| Learning depth from stereo F Sinz, J Candela, G Bakır, C Rasmussen, M Franz 26th DAGM Symposium, 245-252, 2004 | 49 | 2004 |
| Natural image coding in V1: how much use is orientation selectivity? J Eichhorn, F Sinz, M Bethge PLoS computational biology 5 (4), e1000336, 2009 | 47 | 2009 |
| Normalizing the normalizers: Comparing and extending network normalization schemes M Ren, R Liao, R Urtasun, FH Sinz, RS Zemel arXiv preprint arXiv:1611.04520, 2016 | 39 | 2016 |
| In all likelihood, deep belief is not enough L Theis, S Gerwinn, F Sinz, M Bethge Journal of Machine Learning Research 12 (Nov), 3071-3096, 2011 | 35 | 2011 |
| The spider machine learning toolbox J Weston, A Elisseeff, G Bakir, F Sinz Software available at http://www. kyb. tuebingen. mpg. de/bs/people/spider, 2005 | 32 | 2005 |
| The conjoint effect of divisive normalization and orientation selectivity on redundancy reduction F Sinz, M Bethge 22nd Annual Conference on Neural Information Processing Systems 2008, 8, 2009 | 29 | 2009 |
| Alternative splicing substantially diversifies the transcriptome during early photomorphogenesis and correlates with the energy availability in Arabidopsis L Hartmann, P Drewe-Boß, T Wießner, G Wagner, S Geue, HC Lee, ... The Plant Cell 28 (11), 2715-2734, 2016 | 28 | 2016 |
| Characterization of the p-generalized normal distribution F Sinz, S Gerwinn, M Bethge Journal of Multivariate Analysis 100 (5), 817-820, 2009 | 25 | 2009 |
| Hierarchical Modeling of Local Image Features through -Nested Symmetric Distributions M Bethge, EP Simoncelli, FH Sinz Advances in neural information processing systems, 1696-1704, 2009 | 24 | 2009 |
| Temporal adaptation enhances efficient contrast gain control on natural images F Sinz, M Bethge PLoS computational biology 9 (1), e1002889, 2013 | 23 | 2013 |
| Response to Comment on “Principles of connectivity among morphologically defined cell types in adult neocortex” X Jiang, S Shen, F Sinz, J Reimer, CR Cadwell, P Berens, AS Ecker, ... Science 353 (6304), 1108-1108, 2016 | 17 | 2016 |
| Lp-Nested Symmetric Distributions F Sinz, M Bethge The Journal of Machine Learning Research, 3409-3451, 2010 | 16 | 2010 |
| Lower bounds on the redundancy of natural images R Hosseini, F Sinz, M Bethge Vision research 50 (22), 2213-2222, 2010 | 16 | 2010 |
Matthias BethgeCIN, MPI, BCCN TuebingenVerified email at bethgelab.org
