most citedConstraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 2 cited

Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks

Jason A. Platt, Stephen G. Penny, Timothy A. Smith +2

Drawing on ergodic theory, we introduce a novel training method for machine learning based forecasting methods for chaotic dynamical systems. The training enforces dynamical invari…