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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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5 results for “AFM”

Accelerating spherical K-means clustering for large-scale sparse document datastat.ML

Paper accelerates K-means clustering for large sparse document data.

problem Efficiently clustering large-scale sparse document data.

method Designs an AFM algorithm leveraging UCs and inverted-index structure.

result Significantly improves clustering speed for large-scale documents.

K-means clustering sparse document data acceleration AFM inverted-index

2024-11-18abs ↗pdf ↗

Monotonicity formulas for harmonic functions in

{\rm RCD}(0,N)

spacesmath.DG

Researchers extend monotonicity formulas for harmonic functions in RCD(0,N) spaces.

problem Generalizing monotonicity formulas for harmonic functions in

{ m RCD}(0,N)

spaces.

method New estimates for harmonic functions and a functional version of the outer volume cone theorem.

result Proven rigidity and almost rigidity statements for harmonic functions in

{ m RCD}(0,N)

spaces.

harmonic functions RCD spaces monotonicity formulas rigidity outer volume cone

2021-01-09abs ↗pdf ↗

Estimation of Z-Thickness and XY-Anisotropy of Electron Microscopy Images using Gaussian Processeseess.IV

Method estimates section thickness and XY anisotropy in ssEM images.

problem Accurate 3D reconstructions require precise section thickness and XY anisotropy estimates.

method Non-parametric Bayesian regression of image statistics.

result Method has lower estimation error compared to existing methods.

electron microscopy section thickness anisotropy Gaussian processes atomic force microscopy

2020-02-01abs ↗pdf ↗

Symmetry-electronic fingerprints reveal competing magnetic phases in two-dimensional materialscond-mat.mtrl-sci

Symmetry-electronic fingerprints reveal competing magnetic phases in two-dimensional materials.

problem Predicting magnetic ground states, moments, and anisotropy in two-dimensional magnets.

method Introduce the symmetry-electronic fingerprint (SEF), a physically interpretable representation that encodes crystallographic symmetry operations, Wyckoff-site geometry, and site-resolved electronic structure.

result SEF-trained models accurately classify magnetic ordering and regress moments alongside anisotropy energies.

two-dimensional magnets spintronics quantum technologies ensemble learning random forests

2026-06-11abs ↗pdf ↗

Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learningcs.CY

Study integrates attentional and spacing factors to improve category learning models.

problem Understanding the impact of training sequences on category learning.

method Introduced a novel integration of attentional factors and spacing into logistic knowledge tracing models.

result Enhanced model predicts students' learning outcomes better than existing models.

category learning attentional factors spacing logistic knowledge tracing interleaving

2024-06-22abs ↗pdf ↗