The identification of initial condition from measurements at a given time is a hard inverse problem, and it can be applied to evaluate the robustness of inversion strategies. Relevant scientific ...
variPEPS is the Python variant of the tensor network library developed for variational ground state simulations in two spatial dimensions applying gradient optimization using automatic differentation.
Abstract: In this paper we propose a novel method for depth image superresolution which combines recent advances in example based upsampling with variational superresolution based on a known blur ...
This is an implementation that uses KAN instead of MLP in both autoencoder and variational autoencoder, the experimental dataset is MNIST, and the same network architecture and training parameters are ...
ABSTRACT: In this paper, He’s variational iterative method has been applied to give exact solution of the Euler Lagrange equation which arises from the variational problems with moving boundaries and ...
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