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Approximation and inference methods for stochastic biochemical kinetics—a tutorial review
D Schnoerr, G Sanguinetti… - Journal of Physics A …, 2017 - iopscience.iop.org
Stochastic fluctuations of molecule numbers are ubiquitous in biological systems. Important
examples include gene expression and enzymatic processes in living cells. Such systems …
examples include gene expression and enzymatic processes in living cells. Such systems …
Data-driven statistical learning of temporal logic properties
We present a novel approach to learn logical formulae characterising the emergent
behaviour of a dynamical system from system observations. At a high level, the approach …
behaviour of a dynamical system from system observations. At a high level, the approach …
Precise parameter synthesis for stochastic biochemical systems
We consider the problem of synthesising rate parameters for stochastic biochemical
networks so that a given time-bounded CSL property is guaranteed to hold, or, in the case of …
networks so that a given time-bounded CSL property is guaranteed to hold, or, in the case of …
[HTML][HTML] Smoothed model checking for uncertain continuous-time Markov chains
We consider the problem of computing the satisfaction probability of a formula for stochastic
models with parametric uncertainty. We show that this satisfaction probability is a smooth …
models with parametric uncertainty. We show that this satisfaction probability is a smooth …
[HTML][HTML] System design of stochastic models using robustness of temporal properties
Stochastic models such as Continuous-Time Markov Chains (CTMC) and Stochastic Hybrid
Automata (SHA) are powerful formalisms to model and to reason about the dynamics of …
Automata (SHA) are powerful formalisms to model and to reason about the dynamics of …
On the robustness of temporal properties for stochastic models
Stochastic models such as Continuous-Time Markov Chains (CTMC) and Stochastic Hybrid
Automata (SHA) are powerful formalisms to model and to reason about the dynamics of …
Automata (SHA) are powerful formalisms to model and to reason about the dynamics of …
Temporal logic based monitoring of assisted ventilation in intensive care patients
We introduce a novel approach to automatically detect ineffective breathing efforts in
patients in intensive care subject to assisted ventilation. The method is based on …
patients in intensive care subject to assisted ventilation. The method is based on …
Data-driven and model-based verification via Bayesian identification and reachability analysis
This work develops a measurement-driven and model-based formal verification approach,
applicable to dynamical systems with partly unknown dynamics. We provide a new …
applicable to dynamical systems with partly unknown dynamics. We provide a new …
U-check: Model checking and parameter synthesis under uncertainty
Novel applications of formal modelling such as systems biology have highlighted the need
to extend formal analysis techniques to domains with pervasive parametric uncertainty …
to extend formal analysis techniques to domains with pervasive parametric uncertainty …
LTL model checking based on binary classification of machine learning
W Zhu, H Wu, M Deng - IEEE access, 2019 - ieeexplore.ieee.org
Linear Temporal Logic (LTL) Model Checking (MC) has been applied to many fields.
However, the state explosion problem and the exponentially computational complexity …
However, the state explosion problem and the exponentially computational complexity …