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🌉 Galois Connections

Abstract Interpretation, Monotone Functions, Lattice Theory, Program Analysis

10 Essential Machine Learning Key Terms Explained - MachineLearningMastery.com
machinelearningmastery.com·20h
🧠Machine Learning
Reverse Engineering the Microchip CLB Part 1: Background and Reverse Engineering the BLEs
mcp-clb.markomo.me·7h·
Discuss: Lobsters, Hacker News
🔬Binary Analysis
Primitive Kolmogorov complexity is computable
lewish.io·3d·
Discuss: Hacker News
🧮Kolmogorov Complexity
Why Dyad?: A Perspective for Modelica Users
juliahub.com·22h·
Discuss: Hacker News
💧Liquid Types
How much code does that proc macro generate?
nnethercote.github.io·13h·
Discuss: Lobsters, Hacker News
🦀Rust Macros
The Bitter Lesson is coming for Tokenization
lucalp.dev·2d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
Solving LinkedIn Queens Using MiniZinc
zayenz.se·3d·
Discuss: Lobsters, Hacker News, r/programming
🧮Z3 Solver
Deciding Termination of Simple Randomized Loops
arxiv.org·2d
🌳Persistent Data Structures
Flame Graph Performance Truth Analysis(1750839255230100)
dev.to·1d·
Discuss: DEV
⚡Performance Tools
Beyond Frameworks: How Computer Science Fundamentals Forge the Complete Developer
dev.to·23h·
Discuss: DEV
📏Code Metrics
Signal Recovery on Algebraic Varieties Using Linear Samples
arxiv.org·2d
🕸️Algebraic Topology
Optional Chaining (.?) in JS — Write Shorter & Safer Code!
dev.to·3h·
Discuss: DEV
✅Format Verification
Safe Pruning LoRA: Robust Distance-Guided Pruning for Safety Alignment in Adaptation of LLMs
arxiv.org·1d
💻Local LLMs
Black-Box Test Code Fault Localization Driven by Large Language Models and Execution Estimation
arxiv.org·1d
🔍Concolic Testing
Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
arxiv.org·9h
💻Local LLMs
CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation
arxiv.org·9h
📏Linear Logic
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.to·23h·
Discuss: DEV
🧠Machine Learning
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
arxiv.org·9h
🧠Intelligence Compression
Total Outcome Logic: Unified Reasoning for a Taxonomy of Program Logics
arxiv.org·2d
⚖️Hoare Logic
A large deviation view of \emph{stationarized} fully lifted blirp interpolation
arxiv.org·1d
📐Compression Bounds
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