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Gilad Chase

dblp:294/3997 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none

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

Theory 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 · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational complexity
boolean function analysis
0.612022
Approximate polymorphisms · STOC 2022
Computational complexity
constraint satisfaction
0.612022
Approximate polymorphisms · STOC 2022
Computational complexity › constraint satisfaction › algebraic approach to constraint satisfaction
polymorphism
0.612022
Approximate polymorphisms · STOC 2022

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

fourier analysis · 0.6
YearPublicationVenuePosition
2022 Approximate polymorphisms
abstract
For a function g∶{0,1}m→{0,1}, a function f∶ {0,1}n→{0,1} is called a g-polymorphism if their actions commute: f(g(row1(Z)),…,g(rown(Z))) = g(f(col1(Z)),…,f(colm(Z))) for all Z∈{0,1}n× m. The function f is called an approximate g-polymorphism if this equality holds with probability close to 1, when Z is sampled uniformly. A pair of functions f0,f1∶ {0,1}n → {0,1} are called a skew g-polymorphism if f0(g(row1(Z)),…,g(rown(Z))) = g(f1(col1(Z)),…,f1(colm(Z))) for all Z∈{0,1}n× m.
Gilad Chase, Yuval Filmus, Dor Minzer, Elchanan Mossel, Nitin Saurabh
STOC1