@inproceedings{Flamich2023a,
  author = "G. Flamich and L. Theis",
  title = "Adaptive Greedy Rejection Sampling",
  year = 2023,
  booktitle = "IEEE International Symposium on Information Theory",
  keywords = "channel simulation, compression, information theory",
  url = "https://arxiv.org/abs/2304.10407"
}


@unpublished{Theis2022b,
  author = "L. Theis and T. Salimans and M. D. Hoffman and F. Mentzer",
  title = "Lossy Compression with Gaussian Diffusion",
  year = 2022,
  keywords = "compression, diffusion, channel simulation",
  url = "https://arxiv.org/abs/2206.08889",
  note = "arXiv:2206.08889"
}


@inproceedings{Shah2021a,
  author = "A. Shah and W.-N. Chen and J. Balle and P. Kairouz and L. Theis",
  title = "Optimal Compression of Locally Differentially Private Mechanisms",
  year = 2022,
  booktitle = "Artificial Intelligence and Statistics",
  keywords = "differential privacy, compression, channel simulation",
  url = "https://arxiv.org/abs/2111.00092"
}


@inproceedings{theis2022algorithms,
  author = "L. Theis and N. Yosri",
  title = "Algorithms for the Communication of Samples",
  year = 2022,
  booktitle = "Proceedings of the 39th International Conference on Machine Learning",
  keywords = "compression, information theory, channel simulation",
  url = "https://arxiv.org/abs/2110.12805"
}


@inproceedings{Agustsson2020a,
  author = "E. Agustsson and L. Theis",
  title = "Universally Quantized Neural Compression",
  year = 2020,
  booktitle = "Advances in Neural Information Processing Systems 33",
  keywords = "compression, deep learning, channel simulation",
  url = "https://arxiv.org/abs/2006.09952"
}