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Amortized Generative Modeling of Invariant Measures across A Family of Kuramoto-Sivashinsky PDEs
The long-run statistics of chaotic dissipative partial differential equations are described by invariant measures, and when the equation carries a parameter these measures form a family whose members can differ in kind, from steady states to sustained spatiotemporal chaos. We ask whether a single ge
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