Research
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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.

169,051 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Oct 201719922001200920182026
3 results for “DRNN”
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Frameworkcs.LG

A new deep learning framework captures multi-scale spatio-temporal dependencies.

problem Designing and analyzing deep learning models for complex spatio-temporal analytics.
method Developed an I2^2DRNN model with three modules for integrating and learning multi-scale spatio-temporal data.
result The I2^2DRNN model outperforms classical and state-of-the-art models in capturing meaningful multi-scale spatio-temporal dependencies.
Deep LearningPredictive AnalyticsSpatio-Temporal DataInformation TheoryRecurrent Neural Networks
2020-09-14abs ↗pdf ↗
Impact of Data Normalization on Deep Neural Network for Time Series Forecastingcs.LG

This paper examines how different data normalization techniques affect DNN performance in time series forecasting.

problem Improving DNN performance for time series forecasting with nonlinear, dynamic data.
method Different data normalization techniques were applied to time series data before feeding it into a DRNN model for forecasting.
result Data normalization significantly impacts the DNN's performance in time series forecasting.
Deep Neural NetworksTime Series ForecastingData NormalizationDRNNStock Market
2018-12-13abs ↗pdf ↗