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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

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0111 · Jul 201719922001200920172026
4 results for “DCRNN”
Graph-Partitioning-Based Diffusion Convolutional Recurrent Neural Network for Large-Scale Traffic Forecastingcs.LG

Graph-partitioning-based DCRNN improves traffic forecasting for large highways.

problem Challenges in accurately forecasting traffic on large highway networks.
method Graph-partitioning method to decompose large networks into smaller, independent networks.
result Demonstrated improved traffic forecasting on a large California highway network.
traffic forecastingDCRNNgraph-partitioninglarge highway networksspatiotemporal dynamics
2019-09-24abs ↗pdf ↗
A Dynamically Controlled Recurrent Neural Network for Modeling Dynamical Systemscs.NE

DCRNN improves LSTM for chaotic dynamical system forecasting.

problem Modeling chaotic dynamical systems with recurrent neural networks.
method DCRNN incorporates learnable skip-connections and a Lyapunov stability regularization term.
result DCRNN outperforms LSTM in 100 out of 100 experiments, reducing mean squared error by 80.0%.
Recurrent Neural NetworksDynamical SystemsChaotic SystemsLong Short-Term MemoryLyapunov Stability
2019-10-31abs ↗pdf ↗
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecastingcs.LG

Transfer learning improves highway traffic forecasting using graph neural networks.

problem Lack of historical data for traffic forecasting on large highway networks.
method Developed a transfer learning approach for DCRNN, a graph neural network for highway forecasting.
result TL-DCRNN can forecast traffic on unseen regions of the highway network with high accuracy.
transfer learninggraph neural networkshighway traffic forecastingdiffusion convolutionrecurrent neural networks
2020-04-17abs ↗pdf ↗