SAT Requires Exhaustive Search
link.springer.com·1d·
Discuss: Hacker News
🧮Kolmogorov Complexity
Context Guided Transformer Entropy Modeling for Video Compression
arxiv.org·1d
🧠Learned Codecs
(BT) Diversity from (LC) Diversity
golem.ph.utexas.edu·12h
🧮Kolmogorov Complexity
PQCSA: A Gentle Introduction to Code Based PKE
esat.kuleuven.be·1d
⚗️Algebraic Coding
Extensions and Shadows (9)
sites.psu.edu·1d
✨Effect Handlers
Why Computer Science Is No Good, Redux
cacm.acm.org·11h
🎯Performance Proofs
Things I Wish I Had Known Before Starting ML
towardsdatascience.com·5h
💻Local LLMs
Estimating Worst-Case Frontier Risks of Open-Weight LLMs
arxiv.org·50m
💻Local LLMs
The Christofides Algorithm
alon.kr·12h·
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🕸️Graph Algorithms
🎭 Compressing Human Faces with VAE vs VQ-VAE — A Deep Dive into Autoencoder Design
dev.to·11h·
Discuss: DEV
📊Quantization
Likelihood Matching for Diffusion Models
arxiv.org·50m
🧠Machine Learning
NeuralMorse – Reinventing Morse Code with Neural Networks
masatohagiwara.net·10h·
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📝Text Compression
LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Text-to-Image Generation
arxiv.org·50m
🤖Advanced OCR
Overcoming the Loss Conditioning Bottleneck in Optimization-Based PDE Solvers: A Novel Well-Conditioned Loss Function
arxiv.org·50m
🌀Riemannian Computing
Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs
arxiv.org·1d
💻Local LLMs
Information Rates of Approximate Message Passing for Bandlimited Direct-Detection Channels
arxiv.org·1d
⚛️Quantum Compression
Open Sourced: ML Interview Questions and Job List (Ranked by Comp and Culture)
github.com·12h·
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🧠Machine Learning
[P] Implementing Einsum
lyadalachanchu.github.io·2d
📐Linear Algebra
A Beginner's Guide to Skyline Queries
hackernoon.com·10h
📏Range Queries
A New Concurrent ML in Guile Scheme
wingolog.org·20h·
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🔄Lens Laws