Compressed data structures for Heegaard splittings
arxiv.org·6h
🕳️Persistent Homology
Advanced PDF Optimization Techniques - 1752612
dev.to·14h·
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📝Text Compression
A Minimal DDPM
github.com·8h·
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🧠Machine Learning
News for June 2025
ptreview.sublinear.info·2d
🕸️Graph Algorithms
COLI: A Hierarchical Efficient Compressor for Large Images
arxiv.org·6h
🧠Neural Compression
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization
arxiv.org·1d
🧠Machine Learning
Evaluating Image Compression Tools
rachelplusplus.me.uk·3d·
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📊Rate-Distortion Theory
Types That Count: Journey across Qualitative and Quantitative Intersection Types
iris.unito.it·1d·
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🔍Type Inference
Information Must Flow: Recursive Bootstrapping for Information Bottleneck in Optimal Transport
arxiv.org·1d
⧗Information Bottleneck
The Ancient History of Compression Algorithms
cs4fn.org·6d·
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📊Compression Proofs
There are exponentially many vectors with small inner product
lmao.bearblog.dev·5d·
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⚽Sphere Packing
Discrete Differential Principle for Continuous Smooth Function Representation
arxiv.org·1d
🌀Differential Geometry
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
arxiv.org·6h
📊Quantization
Quantitative central limit theorems for exponential random graphs
arxiv.org·1d
🧮Kolmogorov Bounds
Finding Order-Preserving Subgraphs
arxiv.org·6h
🕸️Graph Algorithms
Data-Driven Matrix Recovery with High-Dimensional Noise via Optimal Shrinkage of Singular Values and Wavelet Shrinkage of Singular Vectors
arxiv.org·1d
📐Linear Algebra
On the Complexity of the Optimal Correlated Equilibria in Extensive-Form Games
arxiv.org·6h
🔲Cellular Automata
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·6h
🧠Machine Learning
It’s Not What You Pay, It’s How Fast You Play: A History of MEV
hackernoon.com·19h
🖥️Terminal Renaissance
From Equal Weights to Smart Weights: OTPO’s Approach to Better LLM Alignment
towardsdatascience.com·17h
🧮Kolmogorov Bounds