L. Theis. What makes an image realistic? 2024.

H. Kim, M. Bauer, L. Theis, J. R. Schwarz, and E. Dupont. C3: High-performance and low-complexity neural compression from a single image or video. Computer Vision and Pattern Recognition, 2024.

E. Hoogeboom, E. Agustsson, F. Mentzer, L. Versari, G. Toderici, and L. Theis. High-Fidelity Image Compression with Score-based Generative Models. 2023.

G. Flamich and L. Theis. Adaptive Greedy Rejection Sampling. IEEE International Symposium on Information Theory, 2023.

Y. Yang, S. Mandt, and L. Theis. An Introduction to Neural Data Compression. Foundations and Trends in Computer Graphics and Vision, volume 15, issue 2, pages 113-200, 2023.

L. Theis, T. Salimans, M. D. Hoffman, and F. Mentzer. Lossy Compression with Gaussian Diffusion. 2022.

A. Shah, W.-N. Chen, J. Balle, P. Kairouz, and L. Theis. Optimal Compression of Locally Differentially Private Mechanisms. Artificial Intelligence and Statistics, 2022.

L. Theis and N. Yosri. Algorithms for the Communication of Samples. Proceedings of the 39th International Conference on Machine Learning, 2022.

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

L. Theis and A. B. Wagner. A coding theorem for the rate-distortion-perception function. Neural Compression Workshop at ICLR, 2021.

L. Theis and E. Agustsson. On the advantages of stochastic encoders. Neural Compression Workshop at ICLR, 2021.

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

K. Storrs, S. V. Leuven, S. Kojder, L. Theis, and F. Huszár. Adaptive Paired-Comparison Method for Subjective Video Quality Assessment on Mobile Devices. Picture Coding Symposium, 2018.

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