Andreas Plank

dblp:125/0750 · DBLP profile ↗
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5ranked-venue papers
3as first author
4since 2021 · last 2025
0000-0002-2653-0689ORCID · corroborated

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

Artificial intelligence and machine learning · 4 · 3 first-author · 4 since 2021Theory of computation · 2 · 2 first-author · 2 since 2021Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021
YearPublicationVenuePosition
2025 Refinement-Based Enumeration of QBF Solutions
Andreas Plank, Clemens Hofstadler, Maximilian Heisinger, Martina Seidl
JELIA (2)1
2024 A Top-Down Tree Model Counter for Quantified Boolean Formulas
Florent Capelli, Jean-Marie Lagniez, Andreas Plank, Martina Seidl
IJCAI3
2023 Enumerative Level-2 Solution Counting for Quantified Boolean Formulas (Short Paper)
abstract
We lift the problem of enumerative solution counting to quantified Boolean formulas (QBFs) at the second level. In contrast to the well-explored model counting problem for SAT (#SAT), where models are simply assignments to the Boolean variables of a formula, we are now dealing with tree (counter-)models reflecting the dependencies between the variables of the first and the second quantifier block. It turns out that enumerative counting on the second level does not give the complete model count. We present the - to the best of our knowledge - first approach of counting tree (counter-)models together with a counting tool that exploits state-of-the-art QBF technology. We provide several kinds of benchmarks for testing our implementation and illustrate in several case studies that solution counting provides valuable insights into QBF encodings.
Andreas Plank, Sibylle Möhle, Martina Seidl
CP1
2023 QMusExt: A Minimal (Un)satisfiable Core Extractor for Quantified Boolean Formulas
Andreas Plank, Martina Seidl
SAT1
2016 A framework for communication and provisioning in an intelligent secondary substation
abstract
Gridlink provides a communication infrastructure for the implementation of distributed control systems in Java. It is a completely decentralized solution where the communication partners dynamically form a cluster of known instances during execution. Gridlink uses a distributed event bus based on an asynchronous communication model. A typical Gridlink system is built from a set of modules that execute a distributed application and that communicate with each other by exchanging messages. We present a smart grid use case dealing with the detection and handling of voltage band violations in low voltage networks deployed in secondary substation nodes.
Stephan Cejka, Alexander Hanzlik, Andreas Plank
ETFA3