Pages that link to "Item:Q2000433"
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The following pages link to Data-driven closures for stochastic dynamical systems (Q2000433):
Displaying 17 items.
- Data-driven non-Markovian closure models (Q1656646) (← links)
- Generalized Langevin equations for systems with local interactions (Q1984824) (← links)
- Spectral methods for nonlinear functionals and functional differential equations (Q2028689) (← links)
- Learning non-Markovian physics from data (Q2128336) (← links)
- Coarse-grained modelling out of equilibrium (Q2160130) (← links)
- A data-driven method for the steady state of randomly perturbed dynamics (Q2331917) (← links)
- Machine learning of nonlocal micro-structural defect evolutions in crystalline materials (Q2679512) (← links)
- Data-Driven Reduction for a Class of Multiscale Fast-Slow Stochastic Dynamical Systems (Q3188143) (← links)
- On the estimation of the Mori-Zwanzig memory integral (Q4556643) (← links)
- Data-Driven Discovery of Closure Models (Q4562411) (← links)
- Data-driven inference of high-accuracy isostable-based dynamical models in response to external inputs (Q5000884) (← links)
- Learning stochastic closures using ensemble Kalman inversion (Q5023844) (← links)
- Detecting the maximum likelihood transition path from data of stochastic dynamical systems (Q5140892) (← links)
- Bayesian differential programming for robust systems identification under uncertainty (Q5161165) (← links)
- Hypoellipticity and the Mori–Zwanzig formulation of stochastic differential equations (Q5163838) (← links)
- The Mori-Zwanzig formulation of deep learning (Q6162752) (← links)
- Adaptive deep density approximation for stochastic dynamical systems (Q6671865) (← links)