Abstract: In this paper, the problem of medium-scale MIMO LTI systems approximation is addressed. The proposed methodology, inspired from recent developments in the model reduction community (i.e. [1] ...
Using a Deep Residual Convolutional Neural Network as an Image Transformation Network (ITN). We train the ITN to transform input images into output images. We use a VGG19 which is pre-trained on ...
Abstract: We consider a Cartesian stochastic variational inequality problem with a monotone map. Monotone stochastic variational inequalities arise naturally, for instance, as the equilibrium ...
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