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cs.LG2025
Fourier-Enhanced Recurrent Neural Networks for Electrical Load Time Series Downscaling
Qi Chen, Mihai Anitescu
We present a Fourier-enhanced recurrent neural network (RNN) for downscaling electrical loads. The model combines (i) a recurrent backbone driven by low-resolution inputs, (ii) exp…
cs.LG2025
Neighborhood Sampling Does Not Learn the Same Graph Neural Network
Zehao Niu, Mihai Anitescu, Jie Chen
Neighborhood sampling is an important ingredient in the training of large-scale graph neural networks. It suppresses the exponential growth of the neighborhood size across network…