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Demo Data from VLDB 2026 / reviewers in the wild / expert

David Álvarez 0004

dblp:81/4641-4 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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

Artificial intelligence and machine learning · 1

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.

Artificial intelligence
1 paper
Trustworthy machine learning · 50% Generative modeling · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Generative modeling › generative model
likelihood-based generative model		 0.412020
Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models · ICLR 2020
Machine learning › Trustworthy machine learning › robustness
out-of-distribution detection		 0.412020
Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models · ICLR 2020

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

likelihood-based generative models · 0.4
YearPublicationVenuePosition
2020 Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models
Joan Serrà, David Álvarez 0004, Vicenç Gómez, Olga Slizovskaia, José F. Núñez, Jordi Luque
 ICLR2