Search results

Journal Article (12)

1.
Journal Article
Sinz, F.; Pitkow, X.; Reimer, J.; Bethge, M.; Tolias, A.: Engineering a Less Artificial Intelligence. Neuron 103 (6), pp. 967 - 979 (2019)
2.
Journal Article
Jiang, X.; Shen, S.; Cadwell, C.; Berens, P.; Sinz, F.; Ecker, A.; Patel, S.; Tolias, A.: Principles of connectivity among morphologically defined cell types in adult neocortex. Science 350 (6264), pp. aac9462-1 - aac9462-10 (2015)
3.
Journal Article
Sinz, F.; Lies, J.-P.; Gerwinn, S.; Bethge, M.: Natter: A Python Natural Image Statistics Toolbox. Journal of Statistical Software 61 (5), pp. 1 - 34 (2014)
4.
Journal Article
Froudarakis, E.; Berens, P.; Ecker, A.; Cotton, R.; Sinz, F.; Yatsenko, D.; Saggau, P.; Bethge, M.; Tolias, A.: Population code in mouse V1 facilitates readout of natural scenes through increased sparseness. Nature Neuroscience 17 (6), pp. 851 - 857 (2014)
5.
Journal Article
Sinz, F.; Bethge, M.: What Is the Limit of Redundancy Reduction with Divisive Normalization? Neural Computation 25 (11), pp. 2809 - 2814 (2013)
6.
Journal Article
Sinz, F.; Bethge, M.: Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images. PLoS Computational Biology 9 (1), pp. 1 - 13 (2013)
7.
Journal Article
Theis, L.; Gerwinn, S.; Sinz, F.; Bethge, M.: In All Likelihood, Deep Belief Is Not Enough. The Journal of Machine Learning Research 12, pp. 3071 - 3096 (2011)
8.
Journal Article
Sinz, F.; Bethge, M.: Lp-Nested Symmetric Distributions. The Journal of Machine Learning Research 11, pp. 3409 - 3451 (2010)
9.
Journal Article
Hosseini, R.; Sinz, F.; Bethge, M.: Lower bounds on the redundancy of natural images. Vision Research 50 (22), pp. 2213 - 2222 (2010)
10.
Journal Article
Sinz, F.; Gerwinn, S.; Bethge, M.: Characterization of the p-Generalized Normal Distribution. Journal of Multivariate Analysis 100 (5), pp. 817 - 820 (2009)
11.
Journal Article
Eichhorn, J.; Sinz, F.; Bethge, M.: Natural Image Coding in V1: How Much Use is Orientation Selectivity? PLoS Computational Biology 5 (4), pp. 1 - 16 (2009)
12.
Journal Article
Collobert, R.; Sinz, F.; Weston, J.; Bottou, L.: Large Scale Transductive SVMs. The Journal of Machine Learning Research 7, pp. 1687 - 1712 (2006)

Book Chapter (1)

13.
Book Chapter
Collobert, R.; Sinz, F.; Weston, J.; Bottou, L.: Trading Convexity for Scalability. In: Large Scale Kernel Machines, pp. 275 - 300 (Eds. Bottou, L.; Chapelle, O.; DeCoste, D.; Weston, J.). MIT Press, Cambridge, MA, USA (2007)

Conference Paper (9)

14.
Conference Paper
Ecker, A.; Sinz, F.; Froudarakis, E.; Fahey, P.; Cadena, S.; Walker, E.; Cobos, E.; Reimer, J.; Tolias, A.; Bethge, M.: A rotation-equivariant convolutional neural network model of primary visual cortex. In: Seventh International Conference on Learning Representations (ICLR 2019), pp. 1 - 11. Seventh International Conference on Learning Representations (ICLR 2019), New Orleans, LA, USA, May 06, 2019 - May 09, 2019. (2019)
15.
Conference Paper
Sinz, F.; Simoncelli, E.; Bethge, M.: Hierarchical Modeling of Local Image Features through Lp-Nested Symmetric Distributions. In: Advances in Neural Information Processing Systems 22, pp. 1696 - 1704 (Eds. Bengio, Y.; Schuurmans, D.; Lafferty, J.; Williams, C.; Culotta, A.). 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, BC, Canada, December 07, 2009 - December 10, 2009. Curran, Red Hook, NY, USA (2010)
16.
Conference Paper
Sinz, F.; Bethge, M.: The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction. In: Advances in neural information processing systems 21, pp. 1521 - 1528 (Eds. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, December 08, 2008 - December 10, 2008. Curran, Red Hook, NY, USA (2009)
17.
Conference Paper
Sinz, F.; Chapelle, O.; Agarwal, A.; Schölkopf, B.: An Analysis of Inference with the Universum. In: Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007, pp. 1369 - 1376 (Eds. Platt, C.; Koller, D.; Singer, Y.; Roweis, S.). Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Vancouver, BC, Canada, December 03, 2007 - December 06, 2007. Curran, Red Hook, NY, USA (2008)
18.
Conference Paper
Collobert, R.; Sinz, F.; Weston, J.; Bottou, L.: Trading Convexity for Scalability. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, pp. 201 - 208 (Eds. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, June 25, 2006 - June 29, 2006. ACM Press, New York, NY, USA (2006)
19.
Conference Paper
Weston, J.; Collobert, R.; Sinz, F.; Bottou, L.; Vapnik, V.: Inference with the Universum. In: ICML '06: Proceedings of the 23rd International Conference on Machine Learning, pp. 1009 - 1016 (Eds. Cohen, W.; Moore, A.). 23rd International Conference on Machine Learning (ICML 2006), Pittsburgh, PA, USA, June 25, 2006 - June 29, 2006. ACM Press, New York, NY, USA (2006)
20.
Conference Paper
Quinonero Candela, J.; Rasmussen, C.; Sinz, F.; Bousquet, O.; Schölkopf, B.: Evaluating Predictive Uncertainty Challenge. In: Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment: First PASCAL Machine Learning Challenges Workshop, MLCW 2005, Southampton, UK, April 11-13, 2005, pp. 1 - 27 (Eds. Quiñonero-Candela, J.; Dagan, I.; Magnini, B.; d’Alché-Buc, F.). First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Southampton, UK, April 11, 2005 - April 13, 2005. Springer, Berlin, Germany (2006)
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