We propose a novel deep learning (DL) approach to solve one-dimensional
...
The detection and localization of possible diseases in crops are usually...
We propose a stable, parallel approach to train Wasserstein Conditional
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Graph Convolutional Neural Network (GCNN) is a popular class of deep lea...
We provide rigorous theoretical bounds for Anderson acceleration (AA) th...
We propose a new approach to generate a reliable reduced model for a
par...
We introduce a multi-tasking graph convolutional neural network, HydraGN...
Anderson acceleration (AA) is an extrapolation technique designed to spe...
We propose a distributed approach to train deep convolutional generative...
In this work we propose a new method to optimize the architecture of an
...