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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.

168,657 papers · 148 categories

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5 results for “vineyard”

Braiding vineyardscs.CG

Study vineyards linking TDA and knot theory, showing rich topological features.

problem Linking computational topology and knot theory through vineyards.

method Construct periodic functions to study evolution of persistence diagrams.

result Vineyards are as rich as possible in topological terms.

vineyards topological data analysis knot theory monodromy periodic functions

2025-04-15abs ↗pdf ↗

The Singular Source of Vineyard Monodromycs.CG

This work classifies monodromy in vineyards using singularity theory.

problem Understanding and predicting monodromy in vineyards for topological data analysis.

method Using a connection with singularity theory, the study classifies monodromy in vineyards of 1-manifolds in R^2.

result Monodromy in vineyards occurs only if they contain a specific singularity of the distance function.

monodromy vineyard singularity theory topological data analysis distance function

2026-07-01abs ↗pdf ↗

Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergycs.LG

Study presents a low-cost local motion planner for vineyard navigation.

problem Autonomous navigation in vineyards with limited resources.

method RGB-D camera, dual layer control algorithm, deep learning synergy.

result Robust motion planning for vineyard navigation achieved.

vineyards autonomous navigation RGB-D camera local motion planner deep learning

2020-05-26abs ↗pdf ↗

Capturing Dynamics of Time-Varying Data via Topologycs.LG

New tool for summarizing time-varying data shapes.

problem Understanding dynamic data shapes.

method Introducing crocker stacks for time-varying metric spaces.

result Demonstrated utility in parameter identification task.

topology time-varying data metric spaces crocker stack continuity property

2020-10-07abs ↗pdf ↗

Leaf Spectral Reflectance Prediction Using Multi-Head Attention Neural Networkscs.LG

Neural network model improves leaf spectral reflectance prediction for grapevines.

problem Inaccurate modeling of grapevine leaf spectral reflectance from traits.

method Multi-head attention neural network trained on grapevine-specific data.

result Model achieved high accuracy (R^2=0.84, NRMSE=1.52%) and outperformed PROSPECT-PRO.

leaf reflectance grapevine neural networks spectral modeling biochemical traits

2026-05-31abs ↗pdf ↗