lossless compression

Data-Derived Weak Universal Consistency JMLR 2022 Fast Lossless Neural Compression with Integer-Only Discrete Flows ICML 2022 Fast Relative Entropy Coding with A* coding ICML 2022 Generalization Gap in Amortized Inference NeurIPS 2022 Lossless Compression with Probabilistic Circuits ICLR 2022 PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework CVPR 2022 Practical Learned Lossless JPEG Recompression With Multi-Level Cross-Channel Entropy Model in the DCT Domain CVPR 2022 Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms COLT 2022 Split Hierarchical Variational Compression CVPR 2022 IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression ICLR 2021 iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder NeurIPS 2021 Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding ICML 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021 Lossless Compression of Efficient Private Local Randomizers ICML 2021 On the Out-of-distribution Generalization of Probabilistic Image Modelling NeurIPS 2021 OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression NeurIPS 2021 Partition and Code: learning how to compress graphs NeurIPS 2021 HiLLoC: lossless image compression with hierarchical latent variable models ICLR 2020 Impossibility Results for Grammar-Compressed Linear Algebra NeurIPS 2020 Learning Better Lossless Compression Using Lossy Compression CVPR 2020 Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks ICLR 2020 Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables ICML 2019 Compression with Flows via Local Bits-Back Coding NeurIPS 2019 Integer Discrete Flows and Lossless Compression NeurIPS 2019 Practical Full Resolution Learned Lossless Image Compression CVPR 2019