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🎯 Performance Proofs

Complexity Analysis, Algorithm Verification, Formal Bounds, Optimization Theory

Mini-Review: The Life and Times of the Cubic-Solving Guy
daveagp.wordpress.com·6h
🗝️Paleocryptography
busy beaver function
ncatlab.org·2d
⚔️Lean Theorem
Can large language models figure out the real world?
news.mit.edu·12h
🧮Kolmogorov Bounds
My Current AI Dev Workflow
steipete.me·23h
⚡Proof Automation
7 Steps to Mastering No Code Automation with n8n for Data Professionals
kdnuggets.com·20h
🌊Stream Processing
Securing Kubernetes Layer by Layer: An OSI Approach
reddit.com·11h·
Discuss: r/kubernetes
📦Container Security
Stable, Mutable References for Ante
antelang.org·19h·
Discuss: Hacker News, r/programming
🔒Type Safety
The Lobster Programming Language
strlen.com·13h·
Discuss: Hacker News
🔗Concatenative Programming
AGI Is an Engineering Problem
vincirufus.com·2d·
Discuss: Hacker News
🔲Cellular Automata
ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning
arxiv.org·4h
🧠Intelligence Compression
Evaluating Movement Initiation Timing in Ultimate Frisbee via Temporal Counterfactuals
arxiv.org·4h
🔲Cellular Automata
Evaluation and LLM-Guided Learning of ICD Coding Rationales
arxiv.org·4h
🔗Constraint Handling
Fair and Distributed Vehicle‑Request Assignment Using Auctions and Rebalancing in Mobility‑On‑Demand
hackernoon.com·11h
📡Network Calculus
R-ConstraintBench: Evaluating LLMs on NP-Complete Scheduling
arxiv.org·4d
🧮SMT Solvers
Accelerating Historical K-Core Search in Temporal Graphs
arxiv.org·4h
🕸️Neo4j
Uncertainty Propagation Networks for Neural Ordinary Differential Equations
arxiv.org·4h
📊Quantization
Advances in Machine Learning: Uncertainty, Scalability, Fairness, and Human-AI Collaboration in Recent cs.LG Research fr
dev.to·2d·
Discuss: DEV
🧠Machine Learning
Parallel Nodal Interior-Penalty Discontinuous Galerkin Methods for the Subsonic Compressible Navier-Stokes Equations: Applications to Vortical Flows and VIV Pro...
arxiv.org·4h
⚡Effectful Programming
Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning
arxiv.org·4h
💻Local LLMs
On the Edge of Memorization in Diffusion Models
arxiv.org·4h
📊Learned Metrics
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