Forbes, Florence

8 publications

TMLR 2026 An Analysis of Distributional Reinforcement Learning with Gaussian Mixtures Mathis Antonetti, Henrique Donancio, Florence Forbes

ICLR 2025 Bayesian Experimental Design via Contrastive Diffusions Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes

TMLR 2024 Fast, Accurate and Lightweight Sequential Simulation-Based Inference Using Gaussian Locally Linear Mappings Henrik Häggström, Pedro L. C. Rodrigues, Geoffroy Oudoumanessah, Florence Forbes, Umberto Picchini

ICML 2024 PASOA- PArticle baSed Bayesian Optimal Adaptive Design Jacopo Iollo, Christophe Heinkelé, Pierre Alliez, Florence Forbes

NeurIPS 2023 Semantic Segmentation of Sparse Irregular Point Clouds for Leaf/wood Discrimination Yuchen Bai, Jean-Baptiste Durand, Grégoire Vincent, Florence Forbes

ECML-PKDD 2022 A Pre-Screening Approach for Faster Bayesian Network Structure Learning Thibaud Rahier, Sylvain Marié, Florence Forbes

AISTATS 2010 A Weighted Multi-Sequence Markov Model for Brain Lesion Segmentation Florence Forbes, Senan Doyle, Daniel Garcia–Lorenzo, Christian Barillot, Michel Dojat

ECCV 2006 The Alignment Between 3-D Data and Articulated Shapes with Bending Surfaces Guillaume Dewaele, Frederic Devernay, Radu Horaud, Florence Forbes