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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6 results for “station-level”

Bike Flow Prediction with Multi-Graph Convolutional Networkscs.LG

Predict bike flow at station-level with multi-graph CNNs.

problem Fine-grained bike flow prediction for station-level management.

method Multi-graph convolutional neural network model.

result Reduces 25.1% and 17.0% prediction error in New York City and Chicago.

bike sharing flow prediction multi-graph CNN station-level convolutional neural network

2018-07-28abs ↗pdf ↗

Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approachstat.ML

This study proposes a novel Graph Convolutional Neural Network with Data-driven Graph Filter (GCNN-DDGF) model that can learn hidden heterogeneous pairwise correlations between stations to predict station-level hourly demand in a large-scale bike-sharing network. Two architectures of the GCNN-DDGF model are explored; G…

2017-12-13abs ↗pdf ↗

Transfer learning for cross-modal demand prediction of bike-share and public transitcs.LG

Study improves cross-modal bike-share and transit demand prediction.

problem Cross-modal ripple effects in urban transportation demand.

method Transfer learning and stacked LSTM models for cross-modal demand prediction.

result Transfer learning models outperform unimodal models in cross-modal demand prediction.

transfer learning cross-modal prediction bike-share public transit stacked LSTM

2022-03-17abs ↗pdf ↗

Benchmarks and Custom Package for Energy Forecastingcs.LG

Paper benchmarks and customizes energy forecasting methods.

problem Energy forecasting challenges and differences from traditional time series.

method Collected large-scale load datasets and renewable energy datasets. Developed feature engineering and customized loss functions.

result Comprehensive evaluation of 21 forecasting methods in energy datasets.

energy forecasting custom package load datasets renewable energy feature engineering

2023-07-14abs ↗pdf ↗

Towards Dynamic Urban Bike Usage Prediction for Station Network Reconfigurationcs.LG

Proposes AtCoR for predicting bike station usage, improving station network reconfiguration.

problem Challenges in predicting new bike stations due to lack of historical data.

method AtCoR algorithm that predicts both existing and new bike stations using station-centered heatmaps and historical correlations.

result AtCoR outperforms existing models in predicting bike station usage.

bike sharing station reconfiguration usage prediction heatmaps historical correlations

2020-08-13abs ↗pdf ↗

Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networksstat.ML

Sparse point observations can provide useful local constraints, but their benefit for radar-like fields depends on the training loss, uncertainty representation, and how observation support is encoded in the model.

problem Improving dense radar-field forecasts with sparse point observations

method A multimodal graph neural network nowcasting system over the Nordic radar domain

result Each source improves a different part of the forecast problem

precipitation nowcasting graph neural networks radar field sparse point observations

2026-06-16abs ↗pdf ↗