3 papers
q-bio.MN2025
Interpretable Neural Approximation of Stochastic Reaction Dynamics with Guaranteed Reliability
Quentin Badolle, Arthur Theuer, Zhou Fang +2
Stochastic Reaction Networks (SRNs) are a fundamental modeling framework for systems ranging from chemical kinetics and epidemiology to ecological and synthetic biological processe…
q-bio.MN2025
A Spectral Koopman Approximation Framework for Stochastic Reaction Networks
Ankit Gupta, Mustafa Khammash
Stochastic reaction networks (SRNs) are a general class of continuous-time Markov jump processes used to model a wide range of systems, including biochemical dynamics in single cel…
q-bio.MN2024
Unbiased estimation of second-order parameter sensitivities for stochastic reaction networks
Quentin Badolle, Ankit Gupta, Mustafa Khammash
Stochastic models for chemical reaction networks are increasingly popular in systems and synthetic biology. These models formulate the reaction dynamics as Continuous-Time Markov C…