L. Theis and J. Ho. Importance weighted compression. Neural Compression Workshop at ICLR, 2021.

E. Agustsson and L. Theis. Universally Quantized Neural Compression. Advances in Neural Information Processing Systems 33, 2020.

T. Nguyen-Phuoc, C. Li, L. Theis, C. Richardt, and Y.-L. Yang. HoloGAN: Unsupervised learning of 3D representations from natural images. International Conference on Computer Vision, 2019.

I. Korshunova, W. Shi, J. Dambre, and L. Theis. Fast Face-swap Using Convolutional Neural Networks. International Conference on Computer Vision, October 2017.

C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. Computer Vision and Pattern Recognition, July 2017.

L. Theis, W. Shi, A. Cunningham, and F. Huszár. Lossy Image Compression with Compressive Autoencoders. International Conference on Learning Representations, 2017.

C. Sønderby, J. Caballero, L. Theis, W. Shi, and F. Huszár. Amortised MAP Inference for Image Super-resolution. International Conference on Learning Representations, 2017.

L. Theis and M. Bethge. Generative Image Modeling Using Spatial LSTMs. Advances in Neural Information Processing Systems 28, December 2015.

M. Kümmerer, L. Theis, and M. Bethge. Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet. ICLR Workshop, June 2015.

L. Theis, S. Gerwinn, F. Sinz, and M. Bethge. In All Likelihood, Deep Belief Is Not Enough. Journal of Machine Learning Research, volume 12, November 2011.