12 citations · 48 across the 23 of their papers we have counts for
3 papers · 1 filter
Improved estimations of stochastic chemical kinetics by finite state expansion
Tabea Waizmann, Luca Bortolussi, Andrea Vandin +1
Stochastic reaction networks are a fundamental model to describe interactions between species where random fluctuations are relevant. The master equation provides the evolution of…
CLUE: Exact maximal reduction of kinetic models by constrained lumping of differential equations
Alexey Ovchinnikov, Isabel Cristina Pérez Verona, Gleb Pogudin +1
Motivation: Detailed mechanistic models of biological processes can pose significant challenges for analysis and parameter estimations due to the large number of equations used to…
Learning Queuing Networks by Recurrent Neural Networks
Giulio Garbi, Emilio Incerto, Mirco Tribastone
It is well known that building analytical performance models in practice is difficult because it requires a considerable degree of proficiency in the underlying mathematics. In thi…