Christina Gehnen

dblp:305/7190 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2025
0000-0002-6548-3432ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 3 · 1 first-author · 3 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021
YearPublicationVenuePosition
2025 Bayesian Inference in Quantum Programs
abstract
Conditioning is a key feature in probabilistic programming to enable modeling the influence of data (also known as observations) to the probability distribution described by such programs. Determining the posterior distribution is also known as Bayesian inference. This paper equips a quantum while-language with conditioning, defines its denotational and operational semantics over infinite-dimensional Hilbert spaces, and shows their equivalence. We provide sufficient conditions for the existence of weakest (liberal) precondition-transformers and derive inductive characterizations of these transformers. It is shown how w(l)p-transformers can be used to assess the effect of Bayesian inference on (possibly diverging) quantum programs.
Christina Gehnen, Dominique Unruh, Joost-Pieter Katoen
ICALP1
2023 Model Checking Temporal Properties of Recursive Probabilistic Programs
abstract
Probabilistic pushdown automata (pPDA) are a standard operational model for programming languages involving discrete random choices and recursive procedures. Temporal properties are useful for specifying the chronological order of events during program execution. Existing approaches for model checking pPDA against temporal properties have focused mostly on $\omega$-regular and LTL properties. In this paper, we give decidability and complexity results for the model checking problem of pPDA against $\omega$-visibly pushdown languages that can be described by specification logics such as CaRet. These logical formulae allow specifying properties that explicitly take the structured computations arising from procedural programs into account. For example, CaRet is able to match procedure calls with their corresponding future returns, and thus allows to express fundamental program properties such as total and partial correctness.
Tobias Winkler 0001, Christina Gehnen, Joost-Pieter Katoen
Log. Methods Comput. Sci.2
2022 Model Checking Temporal Properties of Recursive Probabilistic Programs
abstract
Abstract Probabilistic pushdown automata (pPDA) are a standard operational model for programming languages involving discrete random choices, procedures, and returns. Temporal properties are useful for gaining insight into the chronological order of events during program execution. Existing approaches in the literature have focused mostly on $$\omega $$ ω -regular and LTL properties. In this paper, we study the model checking problem of pPDA against $$\omega $$ ω -visibly pushdown languages that can be described by specification logics such as CaRet and are strictly more expressive than $$\omega $$ ω -regular properties. With these logical formulae, it is possible to specify properties that explicitly take the structured computations arising from procedural programs into account. For example, CaRet is able to match procedure calls with their corresponding future returns, and thus allows to express fundamental program properties like total and partial correctness.
Tobias Winkler 0001, Christina Gehnen, Joost-Pieter Katoen
FoSSaCS2