activity
20172023
most citedAccelerated Model Checking of Parametric Markov Chains

2 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 1 cited

Automating reward function configuration for drug design

Marius Urbonas, Temitope Ajileye, Paul Gainer +1

Designing reward functions that guide generative molecular design (GMD) algorithms to desirable areas of chemical space is of critical importance in AI-driven drug discovery. Tradi…

cs.LO2018

Multi-Scale Verification of Distributed Synchronisation

Paul Gainer, Sven Linker, Clare Dixon +2

Algorithms for the synchronisation of clocks across networks are both common and important within distributed systems. We here address not only the formal modelling of these algori…

cs.LO2018★ 2 cited

Accelerated Model Checking of Parametric Markov Chains

Paul Gainer, Ernst Moritz Hahn, Sven Schewe

Parametric Markov chains occur quite naturally in various applications: they can be used for a conservative analysis of probabilistic systems (no matter how the parameter is chosen…

cs.LO2018

Incremental Verification of Parametric and Reconfigurable Markov Chains

Paul Gainer, Ernst Moritz Hahn, Sven Schewe

The analysis of parametrised systems is a growing field in verification, but the analysis of parametrised probabilistic systems is still in its infancy. This is partly because it i…

cs.DC2017

The Power of Synchronisation: Formal Analysis of Power Consumption in Networks of Pulse-Coupled Oscillators

Paul Gainer, Sven Linker, Clare Dixon +2

We assess the power consumption of network synchronisation protocols, particularly the energy required to synchronise all nodes across a network. We use the widely adopted approach…