• 
  Julien Chevallier, Guilherme Ost. Community detection for binary graphical models in high dimension. 2024. ⟨hal-04803948⟩
• 
  Jonathan El Methni, Stéphane Girard, Juliette Legrand, Gilles Stupfler, Antoine Usseglio-Carleve. Four contemporary problems in extreme value analysis. 2024. ⟨hal-04780678⟩
• 
  Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel. Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits. 2024. ⟨hal-04470568v3⟩
• 
  Geoffroy Oudoumanessah, Thomas Coudert, Luc Meyer, Aurelien Delphin, Thomas Christen, et al.. Cluster globally, Reduce locally: Scalable efficient dictionary compression for magnetic resonance fingerprinting. 2024. ⟨hal-04766234⟩
• 
  Michaël Allouche, Stéphane Girard, Emmanuel Gobet. Learning extreme Expected Shortfall and Conditional Tail Moments with neural networks. Application to cryptocurrency data. Neural Networks, 2025, 182, pp.106903. ⟨hal-04347859v5⟩
• 
  Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel. Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit. 2024. ⟨hal-04729023⟩
• Julien Chevallier. MeanFieldGraph.jl. 2024, ⟨swh:1:dir:907d5f174b89db97b85302c1d2aa0df4e5c57a34;origin=https://github.com/jucheval/MeanFieldGraph.jl;visit=swh:1:snp:36ad90151180beb50dc622b6c2b8e8eeb73459e3;anchor=swh:1:rev:18543ce7d95b7607e8918f6abf846f0844450646⟩. ⟨hal-04722561⟩
• 
  Stéphane Girard, Emmanuel Gobet, Jean Pachebat. Deep generative modeling of multivariate dependent extremes. 2024. ⟨hal-04700084v2⟩
• 
  Brice Marc, Philippe Foucher, Florence Forbes, Pierre Charbonnier. Normalizing Flows with Task-specific Pre-training for Unsupervised Anomaly Detection on Engineering Structures. EUSIPCO 2024 - 32nd European conference on signal processing, Aug 2024, Lyon, France. pp.1-5. ⟨hal-04715892⟩
• 
  Stéphane Girard, Thomas Opitz, Antoine Usseglio-Carleve. ANOVEX: ANalysis Of Variability for heavy-tailed EXtremes. Electronic Journal of Statistics , 2024, 18 (2), pp.5258-5303. ⟨hal-04200300v3⟩
• 
  Benjamin Lambert, Florence Forbes, Senan Doyle, Harmonie Dehaene, Michel Dojat. Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis. Artificial Intelligence in Medicine, 2024, 150, pp.102830. ⟨10.1016/j.artmed.2024.102830⟩. ⟨hal-04687062⟩
• 
  Lydia Oujamaa, Chantal Delon-Martin, Chloé Jaroszynski, Maite Termenon, Stein Silva, et al.. Functional hub disruption emphasizes consciousness recovery in severe traumatic brain injury. Brain Communications, 2023, 5 (6), pp.fcad319. ⟨10.1093/braincomms/fcad319⟩. ⟨inserm-04413239⟩
• 
  Thomas Mistral, Pauline Roca, Christophe Maggia, Alan Tucholka, Florence Forbes, et al.. Automated Quantification of Brain Lesion Volume From Post-trauma MR Diffusion-Weighted Images. Frontiers in Neurology, 2022, 12, pp.740603. ⟨10.3389/fneur.2021.740603⟩. ⟨hal-03593111⟩
• 
  Michaël Allouche, Stéphane Girard, Emmanuel Gobet. On the simulation of extreme events with neural networks. 2024. ⟨hal-04416809v2⟩
• 
  Guillaume Jean-Paul Claude Becq, Tarik Habet, Nora Collomb, Margaux Faucher, Chantal Delon-Martin, et al.. Functional connectivity is preserved but reorganized across several anesthetic regimes. NeuroImage, 2020, 219, pp.116945. ⟨10.1016/j.neuroimage.2020.116945⟩. ⟨hal-04681589⟩
• 
  Yuchen BAI, Jean-Baptiste Durand, Grégoire Vincent, Florence Forbes. Semantic segmentation of forest point clouds using neural network. JDS 2024 - 55èmes Journées de Statistique de la SFdS, May 2024, Bordeaux, France. pp.1-10. ⟨hal-04653198⟩
• 
  Stéphane Girard, Gilles Stupfler, Antoine Usseglio-Carleve. Extreme conditional expectile estimation in heavy-tailed heteroscedastic regression models. CMStatistics 2021 - 14th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2021, London, United Kingdom. ⟨10.1214/21-AOS2087⟩. ⟨hal-03501801⟩
• 
  Brice Marc, Philippe Foucher, Florence Forbes, Pierre Charbonnier. Évaluation de méthodes de détection d'anomalies non supervisée pour l'auscultation des ouvrages d'art. RFIAP 2024 - Congrès Reconnaissance des Formes, Image, Apprentissage et Perception, AFRIF (Association Française pour la Reconnaissance et l'Interprétation des Formes), Jul 2024, Lille, France. pp.1-3. ⟨hal-04620019v2⟩
• 
  Trungtin Nguyen, Florence Forbes, Julyan Arbel, Hien Duy Nguyen. Bayesian nonparametric mixture of experts for inverse problems. 2023. ⟨hal-04015203v3⟩
• 
  Gersende Fort, Florence Forbes, Hien Duy Nguyen. Sequential Sample Average Majorization–Minimization. 2024. ⟨hal-04607609⟩

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