11 citations · 25 across the 10 of their papers we have counts for
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cs.PL2021
Model Repair Revamped: On the Automated Synthesis of Markov Chains
Milan Ceska, Christian Dehnert, Nils Jansen +2
This paper outlines two approaches|based on counterexample-guided abstraction refinement (CEGAR) and counterexample-guided inductive synthesis (CEGIS), respectively to the automate…
cs.LO2021
Inductive Synthesis for Probabilistic Programs Reaches New Horizons
Roman Andriushchenko, Milan Ceska, Sebastian Junges +1
This paper presents a novel method for the automated synthesis of probabilistic programs. The starting point is a program sketch representing a finite family of finite-state Markov…