A new look at twin reduction
cameroncounts.wordpress.com·3d
🔗Graph Isomorphism
Unlock Gemini’s reasoning: A step-by-step guide to logprobs on Vertex AI
developers.googleblog.com·19h
⚡Proof Automation
AtCoder Finals Problem Statement
atcoder.jp·23h·
Discuss: Hacker News
🇯🇵Japanese Computing
A Practical Guide to Anomaly Detection in Python
dev.to·1d·
Discuss: DEV
🧠Machine Learning
What are Matrix Operations?
dev.to·1d·
Discuss: DEV
📐Linear Algebra
Deep Generative Methods and Tire Architecture Design
arxiv.org·12h
🌀Riemannian Computing
Graph Representations for Reading Comprehension Analysis using Large Language Model and Eye-Tracking Biomarker
arxiv.org·12h
🧠Intelligence Compression
Total/dual correlation/coherence, redundancy/synergy, complexity, and O-information for real and complex valued multivariate data
arxiv.org·3d
📈Mutual Information
Cross-lingual Few-shot Learning for Persian Sentiment Analysis with Incremental Adaptation
arxiv.org·12h
🎛️Feed Filtering
"Mapping What I Feel": Understanding Affective Geovisualization Design Through the Lens of People-Place Relationships
arxiv.org·12h
🎭Cultural Informatics
MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
arxiv.org·12h
📈Time Series
Diffusion Decoding for Peptide De Novo Sequencing
arxiv.org·1d
🧮Kolmogorov Complexity
Langevin Flows for Modeling Neural Latent Dynamics
arxiv.org·1d
🧠Machine Learning
A Deep Dive into Clustering for Customer Segmentation
dev.to·1d·
Discuss: DEV
🌊Spectral Clustering
Understanding Pan-Sharpening via Generalized Inverse
arxiv.org·2d
📐Projective Geometry
Improved Sum-of-Squares Stability Verification of Neural-Network-Based Controllers
arxiv.org·2d
✨Algebraic Effects
Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy Forecasting
arxiv.org·2d
🧠Machine Learning
COLIBRI Fuzzy Model: Color Linguistic-Based Representation and Interpretation
arxiv.org·1d
🌈Color Science
Overview of the Sensemaking Task at the ELOQUENT 2025 Lab: LLMs as Teachers, Students and Evaluators
arxiv.org·12h
🌳Context free grammars
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·1d
🧠Machine Learning