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Entropy coding is the backbone data compression.
A mathematical theory of communication
Claude Elwood Shannon · 1948
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Thomas Boutell and T Lane · 1997
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Information theory, inference and learning algorithms
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The use of asymmetric numeral systems as an accurate replacement for huffman coding
Jarek Duda, Khalid Tahboub, Neeraj J Gadgil, and Edward J Delp · 2015
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Full resolution image compression with recurrent neural networks
George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, and Michele Covell · 2017
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Joint autoregressive and hierarchical priors for learned image compression
David Minnen, Johannes Ballé, and George D Toderici · 2018
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Practical lossless compression with latent variables using bits back coding
J Townsend, T Bird, and D Barber · 2019
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Bit-swap: Recursive bits-back coding for lossless compression with hierarchical latent variables
Friso Kingma, Pieter Abbeel, and Jonathan Ho · 2019
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Scale-space flow for end-to-end optimized video compression
Eirikur Agustsson, David Minnen, Nick Johnston, Johannes Balle, Sung Jin Hwang, and George Toderici · 2020
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Insights from generative modeling for neural video compression
Ruihan Yang, Yibo Yang, Joseph Marino, and Stephan Mandt · 2021
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Dynamic word embeddings
Robert Bamler and Stephan Mandt · 2017
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Variational image compression with a scale hyperprior
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, and Nick Johnston · 2018
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Improving inference for neural image compression
Yibo Yang, Robert Bamler, and Stephan Mandt
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Variational bayesian quantization
Yibo Yang, Robert Bamler, and Stephan Mandt
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Hierarchical autoregressive modeling for neural video compression
Ruihan Yang, Yibo Yang, Joseph Marino, and Stephan Mandt
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Importance weighted compression
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Instruction tables: Lists of instruction latencies, throughputs and micro-operation breakdowns for intel, amd and via cpus
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