EDBT 2026 Demo / reviewers in the wild / expert
Julius Jonusas
dblp:232/4311
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0003-3279-5939ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 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
2 papers |
Computational complexity · 54% Logic in computer science · 46% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational complexity
constraint satisfaction |
1.0 | 2 | 2022 | When Symmetries Are Not Enough: A Hierarchy of Hard Constraint Satisfaction Problems · SIAM J. Comput. 2022 Hrushovski's Encoding and ω-Categorical CSP Monsters · ICALP 2020 |
Logic in computer science
model theory |
1.0 | 2 | 2022 | When Symmetries Are Not Enough: A Hierarchy of Hard Constraint Satisfaction Problems · SIAM J. Comput. 2022 Hrushovski's Encoding and ω-Categorical CSP Monsters · ICALP 2020 |
Logic in computer science › model theory
omega-categorical structure |
1.0 | 2 | 2022 | When Symmetries Are Not Enough: A Hierarchy of Hard Constraint Satisfaction Problems · SIAM J. Comput. 2022 Hrushovski's Encoding and ω-Categorical CSP Monsters · ICALP 2020 |
Computational complexity › constraint satisfaction
dichotomy conjecture |
0.6 | 1 | 2022 | When Symmetries Are Not Enough: A Hierarchy of Hard Constraint Satisfaction Problems · SIAM J. Comput. 2022 |
Computational complexity › constraint satisfaction
dichotomy theorem |
0.4 | 1 | 2020 | Hrushovski's Encoding and ω-Categorical CSP Monsters · ICALP 2020 |
Computational complexity › constraint satisfaction › algebraic approach to constraint satisfaction
polymorphism |
0.3 | 2 | 2022 | When Symmetries Are Not Enough: A Hierarchy of Hard Constraint Satisfaction Problems · SIAM J. Comput. 2022 Hrushovski's Encoding and ω-Categorical CSP Monsters · ICALP 2020 |
Methods — techniques the papers use, named apart from their topics
model-theoretic construction · 0.6hrushovski encoding · 0.6hrushovski's encoding · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | When Symmetries Are Not Enough: A Hierarchy of Hard Constraint Satisfaction ProblemsabstractWe produce a class of $\omega$-categorical structures with finite signature by applying a model-theoretic construction---a refinement of the Hrushovski-encoding---to $\omega$-categorical structures in a possibly infinite signature. We show that the encoded structures retain desirable algebraic properties of the original structures, but that the constraint satisfaction problems (CSPs) associated with these structures can be badly behaved in terms of computational complexity. This method allows us to systematically generate $\omega$-categorical templates whose CSPs are complete for a variety of complexity classes of arbitrarily high complexity and $\omega$-categorical templates that show that membership in any given complexity class containing AC$^0$ cannot be expressed by a set of identities on the polymorphisms. It moreover enables us to prove that recent results about the relevance of topology on polymorphism clones of $\omega$-categorical structures also apply for CSP templates, i.e., structures in a finite language. Finally, we obtain a concrete algebraic criterion which could constitute a description of the delineation between tractability and NP-hardness in the dichotomy conjecture for first-order reducts of finitely bounded homogeneous structures. Pierre Gillibert, Julius Jonusas, Michael Kompatscher, Antoine Mottet, Michael Pinsker |
SIAM J. Comput. | 2 |
| 2020 | Hrushovski's Encoding and ω-Categorical CSP MonstersabstractWe produce a class of ω-categorical structures with finite signature by applying a model-theoretic construction - a refinement of an encoding due to Hrushosvki - to ω-categorical structures in a possibly infinite signature. We show that the encoded structures retain desirable algebraic properties of the original structures, but that the constraint satisfaction problems (CSPs) associated with these structures can be badly behaved in terms of computational complexity. This method allows us to systematically generate ω-categorical templates whose CSPs are complete for a variety of complexity classes of arbitrarily high complexity, and ω-categorical templates that show that membership in any given complexity class cannot be expressed by a set of identities on the polymorphisms. It moreover enables us to prove that recent results about the relevance of topology on polymorphism clones of ω-categorical structures also apply for CSP templates, i.e., structures in a finite language. Finally, we obtain a concrete algebraic criterion which could constitute a description of the delineation between tractability and NP-hardness in the dichotomy conjecture for first-order reducts of finitely bounded homogeneous structures. Pierre Gillibert, Julius Jonusas, Michael Kompatscher, Antoine Mottet, Michael Pinsker |
ICALP | 2 |