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Found 4 papers, 1 papers with code
Coarse-graining Complex Networks for Control Equivalence
The ability to control complex networks is of crucial importance across a wide range of applications in natural and engineering sciences.
Optimality-preserving Reduction of Chemical Reaction Networks
In many applications, for example, in systems biology and epidemiology, CRN parameters such as the kinetic reaction rates can be used as control inputs to steer the system toward a given target.
Closed-form Continuous-time Neural Models
To this end, we compute a tightly-bounded approximation of the solution of an integral appearing in LTCs' dynamics, that has had no known closed-form solution so far.
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Exact maximal reduction of stochastic reaction networks by species lumping
Motivation: Stochastic reaction networks are a widespread model to describe biological systems where the presence of noise is relevant, such as in cell regulatory processes.
