SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Chris J. Maddison, Daniel Tarlow, and Tom Minka. A* sampling. In Advances in Neural Information Processing Systems, 2014.
Fabian Mentzer, George Toderici, Michael Tschannen, and Eirikur Agustsson. High-fidelity generative image compression. In Advances in Neural Information Processing Systems, 2020.
Fabian Mentzer, George Toderici, David Minnen, Sergi Caelles, Sung Jin Hwang, Mario Lucic, and Eirikur Agustsson. VCT: A video compression transformer. In Advances in Neural Information Processing Systems, 2022.
Fernando Pérez-Cruz. Kullback-Leibler divergence estimation of continuous distributions. In IEEE International Symposium on Information Theory, 2008.
Walter Rudin. Real and Complex Analysis. McGraw-Hill, 1986.
Abhin Shah, Wei-Ning Chen, Johannes Balle, Peter Kairouz, and Lucas Theis. Optimal compression of locally differentially private mechanisms. In International Conference on Artificial Intelligence and Statistics. PMLR, 2022.
Ali Moradi Shahmiri, Chih Wei Ling, and Cheuk Ting Li. Communication-efficient Laplace mechanism for differential privacy via random quantization. arXiv preprint arXiv:2309.06982, 2023.
Lucas Theis and Eirikur Agustsson. On the advantages of stochastic encoders. In Neural Compression Workshop at ICLR, 2021.
Lucas Theis and Noureldin Yosri. Algorithms for the communication of samples. In International Conference on Machine Learning, 2022.
Lucas Theis, Tim Salimans, Matthew D. Hoffman, and Fabian Mentzer. Lossy compression with Gaussian diffusion. arXiv preprint arXiv:2206.08889, 2022.
James Townsend, Thomas Bird, and David Barber. Practical lossless compression with latent variables using bits back coding. In International Conference on Learning Representations, 2018.
James Townsend, Thomas Bird, Julius Kunze, and David Barber. HiLLoC: lossless image compression with hierarchical latent variable models. In International Conference on Learning Representations, 2019.
Arash Vahdat and Jan Kautz. NVAE: A deep hierarchical variational autoencoder. In Advances in neural information processing systems, 2020.
Shifeng Zhang, Ning Kang, Tom Ryder, and Zhenguo Li. iFlow: Numerically invertible flows for efficient lossless compression via a uniform coder. In Advances in Neural Information Processing Systems, volume 34, pp. 5822-5833, 2021.
Jacob Ziv. On universal quantization. IEEE Transactions on Information Theory, 1985.