@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/" } @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" } @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" }