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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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2 results for “PaCMAP”

Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualizationcs.LG

New DR algorithm preserves both local and global structure.

problem Trade-off between preserving local and global structure in DR methods.

method Analysis of existing DR methods and design principles for loss functions.

result Design of PaCMAP algorithm that preserves both local and global structure.

dimension reduction t-SNE UMAP TriMAP PaCMAP

2020-12-08abs ↗pdf ↗

Curvature Augmented Manifold Embedding and Learningstat.ML

CAMEL embeds data into a manifold using curvature-augmented forces.

problem Data visualization and dimensionality reduction.

method Formulates DR as a physics model with curvature-augmented forces.

result CAMEL outperforms existing methods on benchmark datasets.

dimensionality reduction manifold learning curvature force-based embedding data visualization

2024-03-21abs ↗pdf ↗