EDBT 2026 Demo / reviewers in the wild / expert
Luca Tamanini
dblp:282/0409
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-9179-5990ORCID · reported
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 |
Information theory · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory › information measures › entropy › entropy inequalities
entropy power inequality |
0.6 | 1 | 2022 | A Generalization of Costa's Entropy Power Inequality · IEEE Trans. Inf. Theory 2022 |
Information theory › information measures › entropy
shannon entropy |
0.2 | 1 | 2022 | A Generalization of Costa's Entropy Power Inequality · IEEE Trans. Inf. Theory 2022 |
Methods — techniques the papers use, named apart from their topics
gamma-calculus · 0.6entropic interpolation · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | A Generalization of Costa's Entropy Power InequalityabstractAim of this short note is to study Shannon’s entropy power along entropic interpolations, thus generalizing Costa’s concavity theorem. We shall provide two proofs of independent interest: the former by$\Gamma $-calculus, hence applicable to more abstract frameworks; the latter with an explicit remainder term, reminiscent of Villani (IEEE Trans. Inf. Theory, 2006), allowing us to characterize the case of equality. Luca Tamanini |
IEEE Trans. Inf. Theory | 1 |