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Adaptive Transform Coding for Semantic Compression  🧠Learned Compression
arxiv.org·6h
Modern LZ Compression Part 2: FSE and Arithmetic Coding  🎯Arithmetic Coding Theory
glinscott.github.io·5d·Hacker News
TurboQuant: A First-Principles Walkthrough  💎Information Crystallography
arkaung.github.io·3d·Lobsters, Hacker News
HT-NRC: A high-throughput and noise-resilient lossless image compression architecture for deep-space CMOS cameras  ⚡Compression Hardware
mdpi.com·6d·Lobsters
A Sufficient-Statistic Reduction of the Information Bottleneck to a Low-Dimensional Problem  ⧗Information Bottleneck
arxiv.org·6h
Rejection Sampling is Optimal for Relative Entropy Coding  📐Compression Bounds
arxiv.org·2d
An Information-Geometric Framework for Stability Analysis of Large Language Models under Entropic Stress  🧮Kolmogorov Bounds
arxiv.org·2d
Near-Optimal Cryptographic Hardness of Learning With Homogeneous Halfspaces Under Gaussian Marginals  🧮Kolmogorov Complexity
arxiv.org·6h
Improved Probabilistic Lower Bounds for Separable Matrices  🧮Kolmogorov Bounds
arxiv.org·2d
Rank Distribution and Dynamics of Gram Matrices from Binary m-Sequences with Applications to LCD Codes  📐Linear Algebra
arxiv.org·6h
AutoCompress: Critical Layer Isolation for Efficient Transformer Compression  🧠Learned Compression
arxiv.org·2d
Hard-to-Sample Distributions from Robust Extractors  🧮Kolmogorov Complexity
arxiv.org·6h
Hierarchical Spatio-Channel Clustering for Efficient Model Compression in Medical Image Analysis  🧠Machine Learning
arxiv.org·2d
Reclaiming Residual Knowledge: A Novel Paradigm to Low-Bit Quantization  📊Quantization
arxiv.org·2d
Provably Secure Steganography Based on List Decoding  🕵️Steganographic Archives
arxiv.org·6d
Sub-Nyquist Sampling for Reaching Theoretical Minimal Sampling Rate Boundary  ✅Lossless Bounds
arxiv.org·2d
On the hull of linearized polynomial codes  🌍Topological Codes
arxiv.org·2d
DiRe-RAPIDS: Topology-faithful dimensionality reduction at scale  🕳️Persistent Homology
arxiv.org·1d
Dynamic Grammar-Compressed Self-Index in $delta$-Optimal Space  🧠Learned Indexing
arxiv.org·2d
The Spectral Lifecycle of Transformer Training: Transient Compression Waves, Persistent Spectral Gradients, and the Q/K--V Asymmetry  🧠Neural Codecs
arxiv.org·2d

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