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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.

168,695 papers · 148 categories

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3 results for “DeepKriging”

Bivariate DeepKriging for Large-scale Spatial Interpolation of Wind Fieldsstat.ML

Proposes bivariate DeepKriging for efficient wind field prediction.

problem Challenges in predicting large-scale bivariate wind fields with high spatial variability and heterogeneity.

method Spatially dependent deep neural network (DNN) with embedding layer using spatial radial basis functions.

result Outperforms traditional cokriging predictors and reduces computation time.

wind fields spatial interpolation deep learning bivariate DeepKriging

2023-07-16abs ↗pdf ↗

DeepKriging: Spatially Dependent Deep Neural Networks for Spatial Predictionstat.ML

DeepKriging uses DNNs to predict spatial data with improved accuracy and scalability.

problem Predicting spatial processes with non-linear and non-Gaussian data.

method Adds an embedding layer of spatial coordinates with basis functions to DNNs.

result DeepKriging provides non-linear predictions with smaller approximation errors and is scalable for large datasets.

DeepKriging spatial prediction deep neural networks non-linear prediction spatial dependence

2020-07-23abs ↗pdf ↗

Spatio-temporal DeepKriging for Interpolation and Probabilistic Forecastingstat.ML

DeepKriging uses neural networks for spatio-temporal interpolation and forecasting.

problem Non-Gaussianity and nonstationarity in real-world data.

method Two-stage model: DNN for interpolation, LSTM for forecasting.

result DeepKriging provides probabilistic forecasts without stationarity assumptions.

spatio-temporal modeling deep learning probabilistic forecasting PM2.5 long short-term memory

2023-06-20abs ↗pdf ↗