Pages that link to "Item:Q2051806"
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The following pages link to Automated deep abstractions for stochastic chemical reaction networks (Q2051806):
Displaying 8 items.
- Deep abstractions of chemical reaction networks (Q1796481) (← links)
- Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems (Q2051826) (← links)
- Abstraction-based segmental simulation of chemical reaction networks (Q2112140) (← links)
- Bayesian learning of effective chemical master equations in crowded intracellular conditions (Q2112158) (← links)
- Automated generation of conditional moment equations for stochastic reaction networks (Q2112168) (← links)
- Abstraction of Markov population dynamics via generative adversarial nets (Q2142099) (← links)
- A generic framework to coarse-grain stochastic reaction networks by abstract interpretation (Q6174400) (← links)
- Efficient and scalable prediction of stochastic reaction-diffusion processes using graph neural networks (Q6620156) (← links)
