Parsing Protobuf Like Never Before
mcyoung.xyz·20h
🔧Binary Parsers
News for June 2025
ptreview.sublinear.info·2d
🕸️Graph Algorithms
A PhD's Apology
cappadokes.github.io·15h·
Discuss: Hacker News
🧮Theoretical Computer Science
Google Wifi Pro: Glitching from Root to EL3: Part 1 - Characterization
raelize.com·1d·
Discuss: Lobsters, Hacker News
🛡️eBPF Security
A Leap-on-Success Exhaustive Search Method to Find Optimal Robust Minimum Redundancy Arrays (RMRAs): New Array Configurations for Sensor Counts 11 to 20
arxiv.org·23h
🔄CRC Algorithms
The Man Behind the Sound: Demystifying Audio Private Attribute Profiling via Multimodal Large Language Model Agents
arxiv.org·1d
🎵Audio ML
A parametric activation function based on Wendland RBF
arxiv.org·23h
🧠Machine Learning
Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data
arxiv.org·23h
🧠Machine Learning
MediaMind AI - Intelligent Content Discovery Platform with Algolia MCP Server
dev.to·12h·
Discuss: DEV
🧭Content Discovery
Contrastive Language-Image Pre-Training Model based Semantic Communication Performance Optimization
arxiv.org·1d
🧠Machine Learning
Relative Entropy Pathwise Policy Optimization
arxiv.org·23h
🧮Kolmogorov Complexity
Backscatter Device-aided Integrated Sensing and Communication: A Pareto Optimization Framework
arxiv.org·1d
📡Bluetooth Archaeology
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·23h
🧠Machine Learning
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
arxiv.org·1d
🧠Machine Learning
[R][D] Interpretability as a Side Effect? Are Activation Functions Biasing Your Models?
reddit.com·17h·
Discuss: r/MachineLearning
📊Learned Metrics
Cheating? Or the acumen of modern programming? FOSS, "AI", and human conscience
gist.github.com·1h·
Discuss: Hacker News
🔗Concatenative Programming
Langevin Flows for Modeling Neural Latent Dynamics
arxiv.org·23h
🧠Machine Learning
Minimum-Peak-Cost Flows Over Time
arxiv.org·1d
🧠Query Planners
Efficient Triple Modular Redundancy for Reliability Enhancement of DNNs Using Explainable AI
arxiv.org·1d
🧠Intelligence Compression
Students, here are 5 key things to know when learning how to train large language models
techradar.com·1d
💻Local LLMs