Intuitions about records management for data scientists
thinkingrecords.co.uk·21h
🔗Data Provenance
Review: The Pseudorandom Ensemble at TMiP25
aperiodical.com·2d
🧮Kolmogorov Bounds
A polar week
blog.mitrichev.ch·3h·
Discuss: blog.mitrichev.ch
🕸️Graph Algorithms
🎿“Minimum Operations to Make the Integer Zero” LeetCode: 2749 [C++, JavaScript, Python]
dev.to·15h·
Discuss: DEV
📐Interval Arithmetic
Exploring the Design Space of Fair Tree Learning Algorithms
arxiv.org·1d
🧠Learned Indexing
ANTS: Shaping the Adaptive Negative Textual Space by MLLM for OOD Detection
arxiv.org·14h
🤖Advanced OCR
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
arxiv.org·14h
🏛Digital humanities
Warming Up for Zeroth-Order Federated Pre-Training with Low Resource Clients
arxiv.org·1d
📊Quantization
PercepTwin: Modeling High-Fidelity Digital Twins for Sim2Real LiDAR-based Perception for Intelligent Transportation Systems
arxiv.org·1d
🌀Differential Geometry
Enhancing Machine Learning for Imbalanced Medical Data: A Quantum-Inspired Approach to Synthetic Oversampling (QI-SMOTE)
arxiv.org·1d
⚛️Quantum Tape
Nonnegative matrix factorization and the principle of the common cause
arxiv.org·14h
🔍Vector Forensics
Tool Masking: The Layer MCP Forgot
towardsdatascience.com·6h
✨Effect Handlers
Count2Density: Crowd Density Estimation without Location-level Annotations
arxiv.org·1d
📊Count-Min Sketch
Synthetic generation of online social networks through homophily
arxiv.org·1d
🗜️Graph Compression
Convergence for adaptive resampling of random Fourier features
arxiv.org·1d
🧠Machine Learning
Algorithmic Randomness and Probabilistic Laws
arxiv.org·2d
🧮Kolmogorov Complexity
SegAssess: Panoramic quality mapping for robust and transferable unsupervised segmentation assessment
arxiv.org·2d
🌀Riemannian Computing
Can General-Purpose Omnimodels Compete with Specialists? A Case Study in Medical Image Segmentation
arxiv.org·2d
🧠Machine Learning
Multi Attribute Bias Mitigation via Representation Learning
arxiv.org·14h
🧠Machine Learning
From Pixel to Perfection: Instant 3D Models from Single Images by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
🏺Computational Archaeology