@article{Theis2015a,
  author = "L. Theis and P. Berens and E. Froudarakis and J. Reimer and M. Roman-Roson and T. Baden and T. Euler and A. S. Tolias and M. Bethge",
  title = "Benchmarking spike rate inference in population calcium imaging",
  year = 2016,
  journal = "Neuron",
  volume = 90,
  number = 3,
  pages = "471-482",
  month = "May",
  keywords = "two-photon imaging, spiking neurons",
  doi = "10.1016/j.neuron.2016.04.014",
  url = "http://www.cell.com/neuron/fulltext/S0896-6273(16)30073-3"
}


@inproceedings{Theis2016a,
  author = "L. Theis and A. van den Oord and M. Bethge",
  title = "A note on the evaluation of generative models",
  year = 2016,
  booktitle = "International Conference on Learning Representations",
  month = "Apr",
  keywords = "generative modeling",
  url = "http://arxiv.org/abs/1511.01844"
}


@inproceedings{Theis2015c,
  author = "L. Theis and M. Bethge",
  title = "Generative Image Modeling Using Spatial LSTMs",
  year = 2015,
  booktitle = "Advances in Neural Information Processing Systems 28",
  month = "Dec",
  keywords = "deep learning, generative modeling, natural image statistics, lstm, mcgsm",
  url = "http://arxiv.org/abs/1506.03478/"
}


@inproceedings{Kümmerer2014b,
  author = "M. Kümmerer and L. Theis and M. Bethge",
  title = "Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet",
  year = 2015,
  booktitle = "ICLR Workshop",
  month = "Jun",
  keywords = "saliency, deep learning",
  url = "http://arxiv.org/abs/1411.1045"
}


@incollection{Gerhard2015a,
  author = "H. E. Gerhard and L. Theis and M. Bethge",
  title = "Modeling Natural Image Statistics",
  year = 2015,
  booktitle = "Biologically-inspired Computer Vision—Fundamentals and Applications",
  publisher = "Wiley VCH",
  keywords = "natural image statistics, mcgsm, ica, psychophysics",
  url = "http://www.amazon.de/Biologically-Inspired-Computer-Vision-Fundamentals-Applications/dp/3527412646/",
  isbn = "978-3527412648"
}


@inproceedings{Sra2015a,
  author = "S. Sra and R. Hosseini and L. Theis and M. Bethge",
  title = "Data modeling with the elliptical gamma distribution",
  year = 2015,
  booktitle = "Artificial Intelligence and Statistics",
  volume = 18,
  keywords = "density estimation, natural image statistics, mixture modeling",
  url = "http://www.jmlr.org/proceedings/papers/v38/sra15.pdf"
}


@article{Chagas2013a,
  author = "A. M. Chagas and L. Theis and B. Sengupta and M. Stüttgen and M. Bethge and C. Schwarz",
  title = "Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents",
  year = 2013,
  journal = "Frontiers in Neural Circuits",
  volume = 7,
  number = 190,
  month = "Dec",
  keywords = "neuroscience, spiking neurons",
  url = "http://www.frontiersin.org/Journal/10.3389/fncir.2013.00190/abstract"
}


@article{Theis2013a,
  author = "L. Theis and A. M. Chagas and D. Arnstein and C. Schwarz and M. Bethge",
  title = "Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification",
  year = 2013,
  journal = "PLoS Computational Biology",
  volume = 9,
  number = 11,
  month = "Nov",
  keywords = "generalized linear model, spiking neurons, mixture models, generative modeling",
  doi = "10.1371/journal.pcbi.1003356",
  url = "http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003356"
}


@inproceedings{Theis2012d,
  author = "L. Theis and J. Sohl-Dickstein and M. Bethge",
  title = "Training sparse natural image models with a fast Gibbs sampler of an extended state space",
  year = 2012,
  booktitle = "Advances in Neural Information Processing Systems 25",
  month = "Nov",
  keywords = "natural image statistics, ica, overcompleteness, bayesian inference"
}


@article{Theis2012a,
  author = "L. Theis and R. Hosseini and M. Bethge",
  title = "Mixtures of Conditional Gaussian Scale Mixtures Applied to Multiscale Image Representations",
  year = 2012,
  journal = "PLoS ONE",
  publisher = "Public Library of Science",
  volume = 7,
  number = 7,
  month = "Jul",
  keywords = "natural image statistics, random fields, mcgsm, mixture models",
  doi = "10.1371/journal.pone.0039857",
  url = "http://bethgelab.org/code/theis2012/"
}


@article{Theis2011a,
  author = "L. Theis and S. Gerwinn and F. Sinz and M. Bethge",
  title = "In All Likelihood, Deep Belief Is Not Enough",
  year = 2011,
  journal = "Journal of Machine Learning Research",
  volume = 12,
  month = "Nov",
  keywords = "natural image statistics, deep belief networks, boltzmann machines, deep learning"
}