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Simon Driscoll

المنشورات 2

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A Response Theory Probe for Learned Stochastic AI Simulators, Tested on Lorenz-63

João Böger, Simon Driscoll, Niccolò Zagli وآخرون · 2026

Machine-learning emulators of chaotic and stochastic systems are usually validated on forecast skill and long-run statistics. Neither certifies that an emulator responds correctly to forcing, the property that projection and attribution studies rely on. Linear response theory makes this testable: the forced response fo …

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Evaluating Dynamical Fidelity through Predictive Structure in Physical Representations

Oskar Bohn Lassen, Joao Paulo de Souza Boger, Simon Driscoll وآخرون · 2026

Machine-learning models for physical systems are currently evaluated primarily through errors between predicted and reference states and, increasingly, through tests of physical consistency. These metrics assess whether predictions are accurate and satisfy selected physical requirements, but provide limited insight int …

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