🧠 Learned Indexes

ML-assisted Data Structures, Neural Networks, B-tree Replacement, Database Optimization

Probabilistic and reinforced mining of association rules
arxiv.org·1d
🕵️Metadata Mining
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·56m
📊Graph Databases
Greedy Is Good. Less Greedy May Be Better
gojiberries.io·14h·
Discuss: Hacker News
🧮Kolmogorov Complexity
Machine Learning Fundamentals: active learning
dev.to·22h·
Discuss: DEV
🤖Grammar Induction
Introduction to the Fundamentals of Amazon Redshift
redshift-observatory.ch·6h
🗃️Database Storage
Database Relationships Explained: From Theory to Rails Implementation From Core Concepts to Building Robust Rails Applications
blog.codeminer42.com·1d
🗄️Database Internals
davidchisnall/igk: I got Knuth'd: A compiler for documents
github.com·8h
📝Concrete Syntax
Is SPL more difficult or easier than SQL?
github.com·6h·
Discuss: Hacker News
⛏️SQL Archaeology
Scalable Machine Learning Algorithms using Path Signatures
arxiv.org·1d
🧠Machine Learning
ML in the Home
blog.raymond.burkholder.net·1d
📈Time Series
A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer
arxiv.org·1d
🧠Machine Learning
Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·18h·
Discuss: Hacker News
🔍Information Retrieval
Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
arxiv.org·10h
💻Local LLMs
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities
arxiv.org·2d
🔍Proximity Search
Solving LinkedIn Queens Using Haskell
imiron.io·1d·
Discuss: Lobsters, Hacker News, r/programming
λLambda Formalization
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.com·19h
🤖Grammar Induction
A Briefing on Logistic Regression
blog.engora.com·2h·
Discuss: Hacker News
🧠Machine Learning
Curating art exhibitions using machine learning
arxiv.org·10h
🏺Computational Archaeology
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·10h
🧠Machine Learning
Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines
medium.com·22h·
Discuss: Hacker News
🧮Z3 Applications