🧪 Data science - matmat · Scour

What It Feels Like to Do Data Science 🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing

lovelaceanalytics.com·5d·Hacker News

A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models 📐Information Geometry

Support Vector Machine 🧠Machine Learning

en.wikipedia.org·18h·Hacker News

Issue 650 🎯Content Recommendation

datascienceweekly.substack.com·4d·Substack

jonghough/jlearn: Machine Learning Library, written in J 🧠Machine Learning

github.com·4d·Lobsters

On-Device Machine Learning 🌀Brotli Internals

dsebastien.net·6d

At Petabyte Scale, ML Stops Being About Models 🧠Machine Learning

hackernoon.com·4d

When Symbol Names Should Not Matter: A Logistic Theory of Fresh-Symbol Classification 🔤Character Classification

ModelLens: Finding the Best for Your Task from Myriads of Models 🗂️Vector Search

From Synthetic to Real: Toward Identity-Consistent Makeup Transfer with Synthetic and Real Data 📊Learned Metrics

Geometric Kolmogorov--Arnold Network (GeoKAN) 🧮Kolmogorov Bounds

A Flexible Adaptive Stable Clustering Algorithm for Archive-Scale Online Mass Spectrometry 🔍Proximity Search

Information Theory and Statistical Learning 🧠Machine Learning

Quadrature-TreeSHAP: Depth-Independent TreeSHAP and Shapley Interactions 🔍Type Inference

LoViF 2026 The First Challenge on Holistic Quality Assessment for 4D World Model (PhyScore) 📊Rate-Distortion Theory

BOOOM: Loss-Function-Agnostic Black-Box Optimization over Orthonormal Manifolds for Machine Learning and Statistical Inference 🌀Riemannian Computing

LEGO: LoRA-Enabled Generator-Oriented Framework for Synthetic Image Detection 📊Learned Metrics

CombOL: a Library for Practical Enumeration and Boltzmann Sampling of Combinatorial Classes 📼Tape Combinators

AffineLens: Capturing the Continuous Piecewise Affine Functions of Neural Networks 🌀Riemannian Computing

AllSERP: Exhaustive Per-Element Enrichment of the Versatile AdSERP Dataset 🌐WARC Forensics

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