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.

169,051 papers · 148 categories

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2 results for “Portland”

Forecasting Crime with Deep Learningstat.ML

Deep learning predicts crime counts with high accuracy.

problem Forecasting crime counts in city partitions.

method Used deep neural networks trained on crime data and additional datasets.

result Predicted crime counts with 75.6% and 65.3% accuracy for Chicago and Portland.

deep learning crime prediction neural networks Chicago Portland

2018-06-05abs ↗pdf ↗

IGANI: Iterative Generative Adversarial Networks for Imputation with Application to Traffic Datastat.ML

IGANI uses iterative GANs to improve traffic data imputation.

problem Imputation of traffic data in the absence of sensor data.

method Iterative Generative Adversarial Networks (IGANI) for unsupervised learning.

result IGANI produces more accurate imputation results compared to previous methods.

traffic data imputation GANs iterative invertibility

2020-08-11abs ↗pdf ↗