Solving Forward and Inverse Problems Using Autoencoders

5 Dec 2019Hwan GohSheroze SheriffdeenTan Bui-Thanh

This work develops a model-aware autoencoder networks as a new method for solving scientific forward and inverse problems. Autoencoders are unsupervised neural networks that are able to learn new representations of data through appropriately selected architecture and regularization... (read more)

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