Jörg Bornschein

According to our database1, Jörg Bornschein authored at least 13 papers between 2010 and 2017.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
Variational Memory Addressing in Generative Models.
CoRR, 2017

Variational Memory Addressing in Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Bidirectional Helmholtz Machines.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Training opposing directed models using geometric mean matching.
CoRR, 2015

Towards Biologically Plausible Deep Learning.
CoRR, 2015

2014
Reweighted Wake-Sleep.
CoRR, 2014

2013
Large-scale parallelized learning of nonlinear sparse coding models.
PhD thesis, 2013

Are V1 Simple Cells Optimized for Visual Occlusions? A Comparative Study.
PLoS Computational Biology, 2013

2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Select and Sample - A Model of Efficient Neural Inference and Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

A Gabor Wavelet Pyramid-Based Object Detection Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

2010
The Maximal Causes of Natural Scenes are Edge Filters.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Binary Sparse Coding.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010


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