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Found 3 papers, 3 papers with code
Implicit Regularization for Group Sparsity
We study the implicit regularization of gradient descent towards structured sparsity via a novel neural reparameterization, which we call a diagonally grouped linear neural network.
Deep Spatio-Temporal Wind Power Forecasting
In this paper, we develop a deep learning approach based on encoder-decoder structure.
Implicit Sparse Regularization: The Impact of Depth and Early Stopping
In this paper, we study the implicit bias of gradient descent for sparse regression.
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