Explicit backward-time steps, time-reversed, produce training pairs that satisfy implicit forward schemes and improve FNO test error, but the main experiments do not match dataset size between augmented and baseline runs.
Representation equiv- alent neural operators: a framework for alias-free operator learning
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Inverse Evolution Data Augmentation for Neural PDE Solvers
Explicit backward-time steps, time-reversed, produce training pairs that satisfy implicit forward schemes and improve FNO test error, but the main experiments do not match dataset size between augmented and baseline runs.