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Olakunle S. Abawonse

dblp:415/0857 · also Olakunle Sunday Abawonse · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0004-6517-0606ORCID · verified

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
Coding theory · 62% Information theory · 38%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information theory
channel capacity
1.012026
Generalized Samorodnitsky Noisy Function Inequalities, with Applications to Error-Correcting Codes · STOC 2026
Coding theory
error-correcting codes
1.012026
Generalized Samorodnitsky Noisy Function Inequalities, with Applications to Error-Correcting Codes · STOC 2026
Coding theory › error-correcting codes › decoding
errors-and-erasures decoding
1.012026
Generalized Samorodnitsky Noisy Function Inequalities, with Applications to Error-Correcting Codes · STOC 2026
Coding theory › error-correcting codes
reed-muller codes
1.012026
Generalized Samorodnitsky Noisy Function Inequalities, with Applications to Error-Correcting Codes · STOC 2026
Information theory › channel capacity › memoryless channels
symmetric memoryless channel
1.012026
Generalized Samorodnitsky Noisy Function Inequalities, with Applications to Error-Correcting Codes · STOC 2026

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

hypercontractivity inequalities · 1.0fourier analysis of boolean functions · 1.0
YearPublicationVenuePosition
2026 Generalized Samorodnitsky Noisy Function Inequalities, with Applications to Error-Correcting Codes
abstract
An inequality by Samorodnitsky states that if f:F2n → ℝ is a nonnegative function, and S ⊆ [n] is chosen by randomly including each coordinate with probability a certain λ = λ(q,ρ) < 1, then log||Tρf||q ≤ ES log||E(f|S)||q. Samorodnitsky’s inequality has several applications to the theory of error-correcting codes. Perhaps most notably, it can be used to show that any binary linear code (with minimum distance ω(logn)) that has vanishing decoding error probability on the BEC(λ) (binary erasure channel) also has vanishing decoding error on all memoryless symmetric channels with capacity above some C = C(λ).
Olakunle S. Abawonse, Jan Hazla, Ryan O'Donnell
STOC1