TRIE benchmarks stochastic PDE surrogates on two chaotic SPDEs, finding generative models best match long-term statistics and uncertainty while latent versions cut inference time by 12x.
Crises, sudden changes in chaotic attractors, and transient chaos.Physica D: Nonlinear Phenomena, 7(1-3):181–200
2 Pith papers cite this work. Polarity classification is still indexing.
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External periodic forcing drives large attractor expansions in the MLC circuit that produce extreme events, confirmed by manifold analysis, Floquet multipliers, and extreme-value statistics.
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TRIE: An Evaluation Framework for Stochastic PDE Surrogates
TRIE benchmarks stochastic PDE surrogates on two chaotic SPDEs, finding generative models best match long-term statistics and uncertainty while latent versions cut inference time by 12x.
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Extreme events in MLC circuit
External periodic forcing drives large attractor expansions in the MLC circuit that produce extreme events, confirmed by manifold analysis, Floquet multipliers, and extreme-value statistics.