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Found 4 papers, 3 papers with code
Multiclass classification for multidimensional functional data through deep neural networks
The intrinsically infinite-dimensional features of the functional observations over multidimensional domains render the standard classification methods effectively inapplicable.
Robust Deep Neural Network Estimation for Multi-dimensional Functional Data
For any multi-dimensional functional data, we provide the uniform convergence rates for the proposed robust deep neural networks estimators.
Deep Neural Network Classifier for Multi-dimensional Functional Data
We propose a new approach, called as functional deep neural network (FDNN), for classifying multi-dimensional functional data.
Estimation of the Mean Function of Functional Data via Deep Neural Networks
In this work, we propose a deep neural network method to perform nonparametric regression for functional data.
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