Demo Data from EDBT 2026 / reviewers in the wild / expert
Olakunle S. Abawonse
dblp:415/0857 · also Olakunle Sunday Abawonse
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory
channel capacity |
1.0 | 1 | 2026 | Generalized Samorodnitsky Noisy Function Inequalities, with Applications to Error-Correcting Codes · STOC 2026 |
Coding theory
error-correcting codes |
1.0 | 1 | 2026 | Generalized Samorodnitsky Noisy Function Inequalities, with Applications to Error-Correcting Codes · STOC 2026 |
Coding theory › error-correcting codes › decoding
errors-and-erasures decoding |
1.0 | 1 | 2026 | Generalized Samorodnitsky Noisy Function Inequalities, with Applications to Error-Correcting Codes · STOC 2026 |
Coding theory › error-correcting codes
reed-muller codes |
1.0 | 1 | 2026 | Generalized Samorodnitsky Noisy Function Inequalities, with Applications to Error-Correcting Codes · STOC 2026 |
Information theory › channel capacity › memoryless channels
symmetric memoryless channel |
1.0 | 1 | 2026 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Generalized Samorodnitsky Noisy Function Inequalities, with Applications to Error-Correcting CodesabstractAn 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 |
STOC | 1 |