Florence Forbes
Scholar

Florence Forbes

Google Scholar ID: SO9ES3cAAAAJ
Director of Research, INRIA, Grenoble Rhone-Alpes
StatisticsBayesian image processingClustering techniquesMarkov random fieldsMixture models
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Citations & Impact
All-time
Citations
8,354
 
H-index
25
 
i10-index
48
 
Publications
20
 
Co-authors
27
list available
Contact
EmailFlorence.Forbes@inria.fr
Publications
8 items
Convergence of projected stochastic natural gradient variational inference for various step size and sample or batch size schedules
2026
Cited
0
A variational framework for modal estimation
2026
Cited
0
Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts
2026
Cited
0
Flow Matching for Robust Simulation-Based Inference under Model Misspecification
2025
Cited
0
Active MRI Acquisition with Diffusion Guided Bayesian Experimental Design
2025
Cited
0
Natural Variational Annealing for Multimodal Optimization
2025
Cited
0
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
arXiv.org · 2024
Cited
0
Bayesian Experimental Design via Contrastive Diffusions
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
  • Habilitation a Diriger des Recherches: Models and inference for structured stochastic systems
Research Experience
  • Senior Researcher (Director of Research) at INRIA Grenoble Rhone-Alpes, head of team Statify. Cofounder and Scientific Advisor of Pixyl.
Background
  • Domains of interest: Bayesian image analysis, mixture models, Markov processes, Markov Random Fields, clustering techniques.
Co-authors
27 total
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Lotfi Chaari
Lotfi Chaari
Professor, Toulouse INP, Univ. of Toulouse
Co-author 6
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