Commutativity regularization mitigates transient error amplification in autoregressive neural simulators by penalizing non-normality and non-commutativity of Jacobians, yielding stable long-horizon rollouts.
Annual Review of Fluid Mechanics39, 129– 162 (2007)
2 Pith papers cite this work, alongside 986 external citations. Polarity classification is still indexing.
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Applies direct-adjoint eigenmode analysis and biorthogonal decomposition to quantify how a reacting base state modifies Kelvin-Helmholtz instability receptivity in a compressible temporal mixing layer.
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Controlling Transient Amplification Improves Long-horizon Rollouts
Commutativity regularization mitigates transient error amplification in autoregressive neural simulators by penalizing non-normality and non-commutativity of Jacobians, yielding stable long-horizon rollouts.
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Receptivity and Biorthogonal Decomposition in a Reacting Temporal Mixing Layer
Applies direct-adjoint eigenmode analysis and biorthogonal decomposition to quantify how a reacting base state modifies Kelvin-Helmholtz instability receptivity in a compressible temporal mixing layer.