Demo Data from EDBT 2026 / reviewers in the wild / expert
Jonas Conneryd
dblp:363/8213
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 2 first-author · 2 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 · 100% |
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 |
1.7 | 2 | 2026 | Lower Bounds for CSP Hierarchies Through Ideal Reduction · SODA 2026 Graph Colouring Is Hard on Average for Polynomial Calculus and Nullstellensatz · FOCS 2023 |
Computational complexity › proof complexity
algebraic proof systems |
1.0 | 1 | 2026 | Lower Bounds for CSP Hierarchies Through Ideal Reduction · SODA 2026 |
Computational complexity › proof complexity
degree lower bounds |
1.0 | 1 | 2026 | Lower Bounds for CSP Hierarchies Through Ideal Reduction · SODA 2026 |
Computational complexity
constraint satisfaction |
0.3 | 1 | 2026 | Lower Bounds for CSP Hierarchies Through Ideal Reduction · SODA 2026 |
Methods — techniques the papers use, named apart from their topics
pseudo-reduction operator · 1.0cohomological k-consistency · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Lower Bounds for CSP Hierarchies Through Ideal ReductionabstractWe present a generic way to obtain level lower bounds for (promise) CSP hierarchies from degree lower bounds for algebraic proof systems. More specifically, we show that pseudo-reduction operators in the sense of Alekhnovich and Razborov [Proc. Steklov Inst. Math. 2003] can be used to fool the cohomological \(k\)-consistency algorithm. As applications, we prove optimal level lower bounds for \(c\) vs. \(\ell\)-coloring for all \(\ell \ge c \ge 3\), and give a simplified proof of the lower bounds for lax and null-constraining CSPs of Chan and Ng [STOC 2025]. Jonas Conneryd, Yassine Ghannane, Shuo Pang 0002 |
SODA | 1 |
| 2023 | Graph Colouring Is Hard on Average for Polynomial Calculus and NullstellensatzabstractWe prove that polynomial calculus (and hence also Nullstellensatz) over any field requires linear degree to refute that sparse random regular graphs, as well as sparse Erdős-Rényi random graphs, are 3-colourable. Using the known relation between size and degree for polynomial calculus proofs, this implies strongly exponential lower bounds on proof size Jonas Conneryd, Susanna F. de Rezende, Jakob Nordström, Shuo Pang 0002, Kilian Risse |
FOCS | 1 |