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Marie Déchelle

dblp:326/7255 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 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.

Artificial intelligence
1 paper
Robot manipulation · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › parameter identification
dynamics identification
0.612022
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction · ICLR 2022
Computational science and engineering › scientific machine learning
physics-informed machine learning
0.212022
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction · ICLR 2022

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

physical-statistics models · 1.1
YearPublicationVenuePosition
2022 Constrained Physical-Statistics Models for Dynamical System Identification and Prediction
Jérémie Donà, Marie Déchelle, Patrick Gallinari, Marina Levy
ICLR2