Probabilistic hyperproperties specify quantitative relations between the...
This paper marries two state-of-the-art controller synthesis methods for...
Approximate circuits trading the power consumption for the quality of re...
Simulating chemical reaction networks is often computationally demanding...
We present a novel learning framework to obtain finite-state controllers...
This paper outlines two approaches|based on counterexample-guided abstra...
This paper presents a novel method for the automated synthesis of
probab...
We present a novel approach for designing complex approximate arithmetic...
Analysis of large continuous-time stochastic systems is a computationall...
Probabilistic programs are key to deal with uncertainty in e.g. controll...
Deep packet inspection via regular expression (RE) matching is a crucial...
This paper considers large families of Markov chains (MCs) that are defi...
We consider the problem of approximate reduction of non-deterministic
au...
We consider the problem of approximate reduction of non-deterministic
au...