David Engström

dblp:436/0615 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · unresolved

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

Theory of computation · 1 · 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 · 64% Graph algorithms and graph theory · 21% Mathematical optimization · 16%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational complexity › average-case complexity
average-case hardness
1.012026
Average-Case Hardness of Binary-Encoded Clique in Proof and Communication Complexity · ICALP 2026
Computational complexity
communication complexity
1.012026
Average-Case Hardness of Binary-Encoded Clique in Proof and Communication Complexity · ICALP 2026
Mathematical optimization › integer programming
cutting planes
1.012026
Average-Case Hardness of Binary-Encoded Clique in Proof and Communication Complexity · ICALP 2026
Graph algorithms and graph theory › graph theory › clique
maximum clique
1.012026
Average-Case Hardness of Binary-Encoded Clique in Proof and Communication Complexity · ICALP 2026
Computational complexity
proof complexity
1.012026
Average-Case Hardness of Binary-Encoded Clique in Proof and Communication Complexity · ICALP 2026
Computational complexity › communication complexity
randomized communication complexity
1.012026
Average-Case Hardness of Binary-Encoded Clique in Proof and Communication Complexity · ICALP 2026
Graph algorithms and graph theory › graph theory
clique
0.312026
Average-Case Hardness of Binary-Encoded Clique in Proof and Communication Complexity · ICALP 2026

Methods — techniques the papers use, named apart from their topics

bounded-depth resolution over parities · 1.0binary encoding · 1.0
YearPublicationVenuePosition
2026 Average-Case Hardness of Binary-Encoded Clique in Proof and Communication Complexity
abstract
We study the average-case hardness of establishing that a graph does not have a large clique in both proof and communication complexity. We show exponential lower bounds on the length of cutting planes and bounded-depth resolution over parities refutations of the binary encoding of clique formulas on randomly sampled dense graphs. Moreover, we show that the randomized communication complexity of finding a falsified clause in these formulas is polynomial.
Susanna F. de Rezende, David Engström, Yassine Ghannane, Duri Janett, Artur Riazanov
ICALP2