Fabian H. Sinz

According to our database1, Fabian H. Sinz authored at least 17 papers between 2004 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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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

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 5-8, 2013

2011
In All Likelihood, Deep Belief Is Not Enough.
Journal of Machine Learning Research, 2011

2010
Lp-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 p-generalized 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 7-10 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


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