32 citations · 70 across the 23 of their papers we have counts for
3 papers · 1 filter
Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation
Nikolaus Vertovec, Frederik Baymler Mathiesen, Thom Badings +2
Control barrier functions (CBFs) are a popular tool for safety certification of nonlinear dynamical control systems. Recently, CBFs represented as neural networks have shown great…
Policy Verification in Stochastic Dynamical Systems Using Logarithmic Neural Certificates
Thom Badings, Wietze Koops, Sebastian Junges +1
We consider the verification of neural network policies for discrete-time stochastic systems with respect to reach-avoid specifications. We use a learner-verifier procedure that le…
Efficient Sensitivity Analysis for Parametric Robust Markov Chains
Thom Badings, Sebastian Junges, Ahmadreza Marandi +2
We provide a novel method for sensitivity analysis of parametric robust Markov chains. These models incorporate parameters and sets of probability distributions to alleviate the of…