Feature/Multi-fidelity PINNs #144
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Implementation of multi-fidelity PINNs via stacking, as proposed in Howard et al., 2023.
Modifications are based on the creation of a
MultiFidelityMLPclass that inherits fromBlock, as well as modifications to the loss that require the creation of a custom loss for these types of networks (MultiFidelityLoss).p.s.: this is still a draft. It will have companion tutorials, unit test updates and TLC on the docstrings.