On-device research index

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.

169,341 papers · 148 categories

Trend · papers per month

count % of corpus

3 results for “parameter-insensitive”

Gauge-Invariant, Parameter-Insensitive Regularization for Potential Recovery from Flow on Directed Graphscs.LG

A new method recovers latent potentials from graph flows, preserving ordering and stability.

problem Recovering latent potentials from graph flows is ill-posed and standard methods collapse the ordering.

method Gauge-invariant, parameter-insensitive regularization using Dirichlet energy.

result The method preserves ordering and stability across different regularization strengths.

graph learning inverse problems graph neural networks gauge invariance parameter insensitivity

2026-07-15abs ↗pdf ↗

Clustering by Deep Nearest Neighbor Descent (D-NND): A Density-based Parameter-Insensitive Clustering Methodstat.ML

D-NND clusters by learning density layers, avoiding over- and under-smoothing.

problem Challenges in density-based clustering, especially bandwidth determination.

method Hierarchical density learning through Deep Nearest Neighbor Descent.

result Avoids over- and under-smoothing, discovers underlying cluster structure reliably.

density-based clustering nearest neighbor descent parameter-insensitive underlying structure density estimation

2015-12-07abs ↗pdf ↗

An Effective Semi-supervised Divisive Clustering Algorithmcs.LG

Nowadays, data are generated massively and rapidly from scientific fields as bioinformatics, neuroscience and astronomy to business and engineering fields. Cluster analysis, as one of the major data analysis tools, is therefore more significant than ever. We propose in this work an effective Semi-supervised Divisive Cl…

2014-12-24abs ↗pdf ↗