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📈 Mutual Information

Information Measures, Statistical Dependencies, Feature Selection, Entropy Estimation

Total/dual correlation/coherence, redundancy/synergy, complexity, and O-information for real and complex valued multivariate data
arxiv.org·2d
📡Information theory
A Minimal DDPM
github.com·9h·
Discuss: Hacker News
🧠Machine Learning
Categorical Features: The Backbone of Search & Recs Engineering
shaped.ai·1d
🧠Learned Indexing
Types That Count: Journey across Qualitative and Quantitative Intersection Types
iris.unito.it·1d·
Discuss: Hacker News
🔍Type Inference
Robust-Multi-Task Gradient Boosting
arxiv.org·7h
📊Learned Metrics
Canonical Bayesian Linear System Identification
arxiv.org·7h
🧠Machine Learning
A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning
arxiv.org·7h
🧠Neural Compression
Unraveling the Biomarker Prospects of High-Altitude Diseases: Insights from Biomolecular Event Network Constructed using Text Mining
arxiv.org·7h
🔍Information Retrieval
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise
arxiv.org·7h
🧠Machine Learning
🎯 Building Attention Mechanisms from Scratch: A Complete Guide to Understanding Transformers
dev.to·2d·
Discuss: DEV
📊Learned Metrics
PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification
arxiv.org·7h
💻Local LLMs
Information Must Flow: Recursive Bootstrapping for Information Bottleneck in Optimal Transport
arxiv.org·1d
⧗Information Bottleneck
COLIBRI Fuzzy Model: Color Linguistic-Based Representation and Interpretation
arxiv.org·7h
🌈Color Science
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·7h
🧠Machine Learning
Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data
arxiv.org·7h
🧠Machine Learning
Incomplete Multiview Learning via Wyner Common Information
arxiv.org·1d
⧗Information Bottleneck
COLI: A Hierarchical Efficient Compressor for Large Images
arxiv.org·7h
🧠Neural Compression
[R][D] Interpretability as a Side Effect? Are Activation Functions Biasing Your Models?
reddit.com·1h·
Discuss: r/MachineLearning
📊Learned Metrics
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
arxiv.org·1d
🧠Machine Learning
Joint space-time wind field data extrapolation and uncertainty quantification using nonparametric Bayesian dictionary learning
arxiv.org·7h
🧮Kolmogorov Bounds
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