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.

169,042 papers · 148 categories

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3 results for “FEAST”

Sound source ranging using a feed-forward neural network with fitting-based early stoppingcs.LG

FEAST improves FNN's range accuracy in ocean waveguides.

problem Evaluating FNN's range accuracy on unlabeled test data in ocean waveguides.

method Introducing FEAST to evaluate and improve FNN's range accuracy.

result FEAST helps improve FNN's ranging accuracy on test data.

FEAST FNN source ranging ocean waveguide early stopping

2019-04-01abs ↗pdf ↗

GNNs Getting ComFy: Community and Feature Similarity Guided Rewiringcs.LG

Rewiring GNNs to optimize community and feature alignment improves their performance.

problem Improving GNNs' performance by addressing over-squashing and generalization issues.

method Three rewiring strategies: ComMa, FeaSt, and ComFy, targeting community structure, node labels, and their alignment.

result Rewiring strategies enhance GNNs' performance by optimizing label-community alignment.

Graph Neural Networks Rewiring Spectral Gap Community Structure Node Labels

2025-02-07abs ↗pdf ↗

Feature-Based Time-Series Analysis in R using the theft Packagestat.ML

theft package simplifies feature extraction for time series analysis in R.

problem Lack of a unified access point and methodological pipelines for feature-based time series analysis.

method theft package provides a unified framework for computing features from six open-source time series feature sets.

result theft enables comprehensive quantification and interpretation of time series structure.

time series feature extraction time series classification R package data visualization

2022-08-12abs ↗pdf ↗