Fabian Sinz
Fabian Sinz
Professor for Machine Learning, University Göttingen
Verified email at cs.uni-goettingen.de - Homepage
Cited by
Cited by
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), 2015
Large scale transductive SVMs.
R Collobert, F Sinz, J Weston, L Bottou, T Joachims
Journal of Machine Learning Research 7 (8), 2006
Trading convexity for scalability
R Collobert, F Sinz, J Weston, L Bottou
Proceedings of the 23rd international conference on Machine learning, 201-208, 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
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), 851-857, 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
Evaluating predictive uncertainty challenge
J Quinonero-Candela, CE Rasmussen, F Sinz, O Bousquet, B Schölkopf
Machine Learning Challenges Workshop, 1-27, 2005
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
Engineering a less artificial intelligence
FH Sinz, X Pitkow, J Reimer, M Bethge, AS Tolias
Neuron 103 (6), 967-979, 2019
Learning depth from stereo
F Sinz, J Candela, G Bakır, C Rasmussen, M Franz
26th DAGM Symposium, 245-252, 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
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
In all likelihood, deep belief is not enough
L Theis, S Gerwinn, F Sinz, M Bethge
The Journal of Machine Learning Research 12, 3071-3096, 2011
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
The spider
J Weston, A Elisseeff, G Bakir, F Sinz
Machine Learning Toolbox http://www. kyb. tuebingen. mpg. de/bs/people/spider, 2006
Inception loops discover what excites neurons most using deep predictive models
EY Walker, FH Sinz, E Cobos, T Muhammad, E Froudarakis, PG Fahey, ...
Nature neuroscience 22 (12), 2060-2065, 2019
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
DataJoint: managing big scientific data using MATLAB or Python
D Yatsenko, J Reimer, AS Ecker, EY Walker, F Sinz, P Berens, ...
BioRxiv, 031658, 2015
Characterization of the p-generalized normal distribution
F Sinz, S Gerwinn, M Bethge
Journal of Multivariate Analysis 100 (5), 817-820, 2009
Temporal adaptation enhances efficient contrast gain control on natural images
F Sinz, M Bethge
PLoS computational biology 9 (1), e1002889, 2013
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