Fabian H. Sinz
According to our database^{1},
Fabian H. Sinz
authored at least 18 papers
between 2004 and 2018.
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Bibliography
2018
Stimulus domain transfer in recurrent models for large scale cortical population prediction on video.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes.
Proceedings of the 5th International Conference on Learning Representations, 2017
2013
Temporal Adaptation Enhances Efficient Contrast Gain Control on Natural Images.
PLoS Computational Biology, 2013
What Is the Limit of Redundancy Reduction with Divisive Normalization?
Neural Computation, 2013
Least Informative Dimensions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
2011
In All Likelihood, Deep Belief Is Not Enough.
Journal of Machine Learning Research, 2011
2010
L_{p}Nested Symmetric Distributions.
Journal of Machine Learning Research, 2010
2009
Natural Image Coding in V1: How Much Use Is Orientation Selectivity?
PLoS Computational Biology, 2009
Characterization of the pgeneralized normal distribution.
J. Multivariate Analysis, 2009
Hierarchical Modeling of Local Image Features through $L_p$Nested Symmetric Distributions.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
2008
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
An Analysis of Inference with the Universum.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
2006
Large Scale Transductive SVMs.
Journal of Machine Learning Research, 2006
Inference with the Universum.
Proceedings of the Machine Learning, 2006
Trading convexity for scalability.
Proceedings of the Machine Learning, 2006
2005
Evaluating Predictive Uncertainty Challenge.
Proceedings of the Machine Learning Challenges, 2005
2004
Learning Depth from Stereo.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004
Modelling Spikes with Mixtures of Factor Analysers.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004