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Jun 10, 2021 · Title:Learning effective stochastic differential equations from microscopic simulations: linking stochastic numerics to deep learning.
We identify effective stochastic differential equations (SDEs) for coarse observables of fine-grained particle- or agent-based simulations; these SDEs then ...
Feb 1, 2023 · Dive into the research topics of 'Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics ...
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Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning · Figures and Tables · Topics ...
Jun 10, 2021 · We identify effective stochastic differential equations (SDE) for coarse observables of fine-grained particle- or agent-based simulations; ...
Feb 1, 2023 · Dive into the research topics of 'Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics ...
Missing: combining | Show results with:combining
DietrichFelix et al. Learning effective stochastic differential equations from microscopic simulations: combining stochastic numerics and deep learning.
Dive into the research topics of 'Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep ...
Missing: combining | Show results with:combining
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May 18, 2024 · Learning effective stochastic differential equations from microscopic simulations: Linking stochastic numerics to deep learning. Felix Dietrich.
A novel paradigm for learning non-parametric drift and diffusion functions for stochastic differential equation (SDE) systems learns to simulate path ...