✅ Lossless Bounds

Compression Limits, Perfect Reconstruction, Information Theory, Entropy Coding

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Information, Physics, and Computation (Oxford Graduate Texts): Mézard, Marc, Montanari, Andrea: 8601410201722: Amazon.com: Books
amazon.com·1d
📐Compression Mathematics
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Treating Functions as Vectors in Hilbert Space
hackaday.com·1d
📐Linear Algebra
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Generative Latent Coding for Ultra-Low Bitrate Image Compression
arxiv.org·3d
🧠Neural Codecs
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What You Need to Know Before Touching a Video File
gist.github.com·3h·
Discuss: Hacker News
🎥Streaming Codecs
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Courses with certificates
codefinity.com·15h
🧠Neural Codecs
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Gaussian concentration bounds for probabilistic cellular automata | Journal of Statistical Physics
link.springer.com·1d
🔲Cellular Automata
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Keeping Probabilities Honest: The Jacobian Adjustment
towardsdatascience.com·2d
🎯Arithmetic Coding Theory
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🧠Learned Compression
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Opening the Black Box of Deep Neural Networks via Information
paperium.net·1d·
Discuss: DEV
🧠Machine Learning
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Attention from First Principles
metaworld.me·3d·
Discuss: Lobsters, Hacker News
🧠Machine Learning
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Streaming compression beats framed compression
bou.ke·1d·
Discuss: Hacker News
🌐WebSocket Framing
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Perfect reconstruction of sparse signals using nonconvexity control and one-step RSB message passing
arxiv.org·5d
⧗Information Bottleneck
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PhD Thesis An INFORMATION THEORETIC APPROACH TO THE EXPRESSIVENESS OF PROGRAMMING LANGUAGES by Joseph Ray Davidson July 2015
macs.hw.ac.uk·3d
💻Programming languages
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Knowledge-Driven 3D Semantic Spectrum Map: KE-VQ-Transformer Based UAV Semantic Communication and Map Completion
arxiv.org·2d
🧮Kolmogorov Complexity
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A SIMD coding challenge: First non-space character after newline
news.ycombinator.com·4d·
Discuss: Hacker News
🚀SIMD Text Processing
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An introduction to modular induction and some attempts to solve it
lesswrong.com·3d
🔲Cellular Automata
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Building a Neural Network from scratch
pub.towardsai.net
·2d
🧠Machine Learning
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Deep Kronecker Network
arxiv.org·2d
🧠Machine Learning
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Multilinear Maps and Tensor Product
rinterested.github.io·6d
🕸️Tensor Networks
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A Convex Loss Function for Set Prediction with Optimal Trade-offs Between Size and Conditional Coverage
arxiv.org·4d
🧮Kolmogorov Bounds
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