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The Deep Operator Networks~(DeepONet) is a fundamentally different class of neural networks that we train to approximate nonlinear operators, including the solution operator of parametric partial differential equations (PDE).
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Learning algorithms for coarsening uncertainty space and applications to multiscale simulations
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