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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.

168,742 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Jun 201919922001200920172026
3 results for “kernel-ARMA”
Network Clustering Via Kernel-ARMA Modeling and the Grassmannian The Brain-Network Casecs.LG

This paper clusters networks with annotated time-series data using kernel-ARMA and Grassmannian geometry.

problem Clustering networks with annotated time-series data, including state, node, and subnetwork clustering.
method Extract features from time-series data using kernel-ARMA, map onto Grassmannian, and cluster using Riemannian geometry.
result The proposed framework outperforms state-of-the-art clustering schemes on brain-network data.
network clusteringtime-series datakernel-ARMAGrassmannianbrain-network
2020-02-18abs ↗pdf ↗
Brain-Network Clustering via Kernel-ARMA Modeling and the Grassmanniancs.LG

Recent advances in neuroscience and in the technology of functional magnetic resonance imaging (fMRI) and electro-encephalography (EEG) have propelled a growing interest in brain-network clustering via time-series analysis. Notwithstanding, most of the brain-network clustering methods revolve around state clustering an…

2019-06-05abs ↗pdf ↗
Nansde-net: A neural sde framework for generating time series with memorycs.LG

NANSDE-Net models time series with memory using neural ARMA-type noise.

problem Modeling time series with long- or short-memory characteristics.
method Developed NANSDE-Net, a generative model that incorporates Neural Network-kernel ARMA-type noise.
result NANSDE-Net matches or outperforms existing models in reproducing long- and short-memory features of data.
time seriesmemoryNeural SDEfractional Brownian motionItô calculus
2026-02-09abs ↗pdf ↗