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Found 2 papers, 1 papers with code
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks
Invertible neural networks are a recent technique in machine learning promising neural network architectures that can be run in forward and reverse mode.
Large-scale Neural Solvers for Partial Differential Equations
However, recent numerical solvers require manual discretization of the underlying equation as well as sophisticated, tailored code for distributed computing.
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