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Found 2 papers, 2 papers with code
Novel and flexible parameter estimation methods for data-consistent inversion in mechanistic modeling
In addition, to overcome limitations of SIP, we reformulate SIP based on constrained optimization and present a novel GAN to solve the constrained optimization problem.
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables
Despite significant recent advances in deep neural networks, training them remains a challenge due to the highly non-convex nature of the objective function.
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