@inproceedings{Theis2024a,
  author = "L. Theis",
  title = "What makes an image realistic?",
  year = 2024,
  booktitle = "Proceedings of the 41st International Conference on Machine Learning",
  keywords = "perceptual quality, realism, compression, generative modeling, outlier detection",
  url = "https://arxiv.org/abs/2403.04493"
}


@inproceedings{Nguyen-Phuoc2019a,
  author = "T. Nguyen-Phuoc and C. Li and L. Theis and C. Richardt and Y.-L. Yang",
  title = "HoloGAN: Unsupervised learning of 3D representations from natural images",
  year = 2019,
  booktitle = "International Conference on Computer Vision",
  keywords = "generative modeling, 3d, deep learning",
  url = "https://www.monkeyoverflow.com/#/hologan-unsupervised-learning-of-3d-representations-from-natural-images/"
}


@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/"
}


@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"
}