Annealed Large Deviations
Annealed Large Deviations is a theoretical framework in large deviation theory that characterizes the asymptotic behavior of a system's empirical measures under an averaged (or quenched-averaged) probability measure, where the randomness of the environment is integrated out, distinguishing it from quenched large deviations by considering the joint fluctuations of the system and its random environment.
13
Publications
452
Citations
20
Authors
23
Institutions
Publications per year
2017–2026
0
Parents
13
1–5 of 13
20
4
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 20
23

Centre National de la Recherche Scientifique
Paris, France
4 h-index
5 publications
199 citations

University of Minnesota
Minneapolis, United States
3 h-index
5 publications
106 citations
Technische Universität Berlin
Berlin, Germany
2 h-index
3 publications
156 citations
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
4 publications
183 citations
University of California System
Oakland, United States
1 h-index
1 publications
41 citations

Université de Toulon
La Garde, France
1 h-index
2 publications
152 citations

Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO)
Toulouse, France
1 h-index
1 publications
20 citations

University of British Columbia
Vancouver, Canada
1 h-index
1 publications
19 citations
1–8 of 23
3 publications · 227 citations
3
h-index
3 publications · 80 citations
3
h-index
Repository · 2 publications · 28 citations
2
h-index
Repository · 1 publications · 27 citations
1
h-index
1 publications · 17 citations
1
h-index
1–5