EDBT 2026 Demo / reviewers in the wild / expert
Agnes Schleitzer
dblp:324/0638
· DBLP profile ↗
3ranked-venue papers
3as first author
3since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 3 first-author · 3 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Computational complexity · 75% Automated reasoning and model checking · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational complexity
proof complexity |
0.9 | 1 | 2025 | Computationally Hard Problems Are Hard for QBF Proof Systems Too · AAAI 2025 |
Automated reasoning and model checking › satisfiability
quantified boolean formula |
0.9 | 1 | 2025 | Computationally Hard Problems Are Hard for QBF Proof Systems Too · AAAI 2025 |
Computational complexity › proof complexity
quantified boolean formula proof systems |
0.9 | 1 | 2025 | Computationally Hard Problems Are Hard for QBF Proof Systems Too · AAAI 2025 |
Computational complexity › proof complexity
resolution |
0.9 | 1 | 2025 | Computationally Hard Problems Are Hard for QBF Proof Systems Too · AAAI 2025 |
Methods — techniques the papers use, named apart from their topics
reduction from polynomial hierarchy problems · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Computationally Hard Problems Are Hard for QBF Proof Systems TooabstractThere has been tremendous progress in the past decade in the field of quantified Boolean formulas (QBF), both in practical solving as well as in creating a theory of corresponding proof systems and their proof complexity analysis. Both for solving and for proof complexity, it is important to have interesting formula families on which we can test solvers and gauge the strength of the proof systems. There are currently few such formula families in the literature. We initiate a general programme how to transform computationally hard problems (located in the polynomial hierarchy) into QBFs hard for the main QBF resolution systems Q-Res and QU-Res that relate to core QBF solvers. We illustrate this general approach on three problems from graph theory and logic. This yields QBF families that are provably hard for Q-Res and QU-Res (without any complexity assumptions). Agnes Schleitzer, Olaf Beyersdorff |
AAAI | 1 |
| 2023 | Classes of Hard Formulas for QBF ResolutionabstractTo date, we know only a few handcrafted quantified Boolean formulas (QBFs) that are hard for central QBF resolution systems such as Q-Res and QU-Res, and only one specific QBF family to separate Q-Res and QU-Res. Here we provide a general method to construct hard formulas for Q-Res and QU-Res. The construction uses simple propositional formulas (e.g. minimally unsatisfiable formulas) in combination with easy QBF gadgets (Σb2 formulas without constant winning strategies). This leads to a host of new hard formulas, including new classes of hard random QBFs. We further present generic constructions for formulas separating Q-Res and QU-Res, and for separating Q-Res and LD-Q-Res. Agnes Schleitzer, Olaf Beyersdorff |
J. Artif. Intell. Res. | 1 |
| 2022 | Classes of Hard Formulas for QBF ResolutionabstractTo date, we know only a few handcrafted quantified Boolean formulas (QBFs) that are hard for central QBF resolution systems such as Q-Res and QU-Res, and only one specific QBF family to separate Q-Res and QU-Res. Here we provide a general method to construct hard formulas for Q-Res and QU-Res. The construction uses simple propositional formulas (e.g. minimally unsatisfiable formulas) in combination with easy QBF gadgets (Σ₂^b formulas without constant winning strategies). This leads to a host of new hard formulas, including new classes of hard random QBFs. We further present generic constructions for formulas separating Q-Res and QU-Res, and for separating Q-Res and LD-Q-Res. Agnes Schleitzer, Olaf Beyersdorff |
SAT | 1 |