Demo Data from EDBT 2026 / reviewers in the wild / expert
Dar Arava
dblp:347/8996
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2025
0009-0004-1238-5910ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 · 82% Information theory · 18% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes
capacity-achieving codes |
0.9 | 1 | 2025 | Stronger Polarization for the Deletion Channel · IEEE Trans. Inf. Theory 2025 |
Coding theory
channel coding |
0.9 | 1 | 2025 | Stronger Polarization for the Deletion Channel · IEEE Trans. Inf. Theory 2025 |
Coding theory › channel coding › polar codes
channel polarization |
0.9 | 1 | 2025 | Stronger Polarization for the Deletion Channel · IEEE Trans. Inf. Theory 2025 |
Information theory › channel capacity
deletion channel |
0.9 | 1 | 2025 | Stronger Polarization for the Deletion Channel · IEEE Trans. Inf. Theory 2025 |
Coding theory › channel coding
polar codes |
0.9 | 1 | 2025 | Stronger Polarization for the Deletion Channel · IEEE Trans. Inf. Theory 2025 |
Coding theory › error-correcting codes
decoding |
0.3 | 1 | 2025 | Stronger Polarization for the Deletion Channel · IEEE Trans. Inf. Theory 2025 |
Coding theory › error-correcting codes › decoding
trellis decoding |
0.3 | 1 | 2025 | Stronger Polarization for the Deletion Channel · IEEE Trans. Inf. Theory 2025 |
Methods — techniques the papers use, named apart from their topics
trellis decoding · 0.9polarization · 0.9guard-band · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Stronger Polarization for the Deletion ChannelabstractIn this paper we show a polar coding scheme for the deletion channel with a probability of error that decays roughly like$2^{-\sqrt {\Lambda }}$, where$\Lambda $is the length of the codeword. That is, the same decay rate as that of seminal polar codes for memoryless channels. This is stronger than prior art in which the square root is replaced by a cube root. Our coding scheme is similar yet distinct from prior art. The main differences are: 1) Guard-bands are placed in almost all polarization levels; 2) Trellis decoding is applied to the whole received word, and not to segments of it. As before, the scheme is capacity-achieving. The price we pay for this improvement is a higher decoding complexity, which is nonetheless still polynomial,$O(\Lambda ^{4})$. Dar Arava, Ido Tal |
IEEE Trans. Inf. Theory | 1 |
| 2023 | Stronger Polarization for the Deletion ChannelabstractIn this paper we show a polar coding scheme for the deletion channel with a probability of error that decays roughly like ${2^{ - \sqrt \lambda }}$ , where Λ is the length of the codeword. That is, the same decay rate as that of seminal polar codes for memoryless channels. This is stronger than prior art in which the square root is replaced by a cube root. Our coding scheme is similar yet distinct from prior art. The main differences are: 1) Guard-bands are placed in almost all polarization levels; 2) Trellis decoding is applied to the whole received word, and not to segments of it. As before, the scheme is capacity-achieving. The price we pay for this improvement is a higher decoding complexity, which is nonetheless still polynomial, O(Λ4). Dar Arava, Ido Tal |
ISIT | 1 |