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  Lucrezia Carboni. Graphes pour l’exploration des réseaux de neurones artificiels et de la connectivité cérébrale humaine. Réseau de neurones [cs.NE]. Université Grenoble Alpes [2020-..], 2023. Français. ⟨NNT : 2023GRALM060⟩. ⟨tel-04552217⟩
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  Julia Linhart, Gabriel Victorino Cardoso, Alexandre Gramfort, Sylvain Le Corff, Pedro Luiz Coelho Rodrigues. Diffusion posterior sampling for simulation-based inference in tall data settings. 2024. ⟨hal-04459545v2⟩
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  Michaël Allouche, Jonathan El Methni, Stéphane Girard. Reduced-bias estimation of the extreme conditional tail expectation for Box-Cox transforms of heavy-tailed distributions. Journal of Statistical Planning and Inference, In press. ⟨hal-04243953v2⟩
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  Liliane Daniela Talba Malla Tchamedeu, Benjamin Lambert, Thomas Coudert, Elizabeth Moyal Cohen-Jonathan, Soléakhéna Ken, et al..  Segmentation d'IRM multimodales par réseaux de neurones : Stratégies de transfert d'apprentissage pour des ensembles de données de taille limitée. IABM 2024 - Colloque français d’intelligence artificielle en imagerie biomédicale, Mar 2024, Grenoble, France. pp.1-1, 2024. ⟨hal-04541089⟩
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  Michaël Allouche, Stéphane Girard, Emmanuel Gobet. NeuralNetwork-Quantile-Extrapolation. 2022, ⟨swh:1:dir:ae11172fdb2bd2c857fb93545fc4b574fb5d992c;origin=https://hal.archives-ouvertes.fr/hal-04518848;visit=swh:1:snp:adcf821cdecb1ec7e35cc5204760908e0efdf16d;anchor=swh:1:rel:3039b53c70fc905e385267cce4c312c1920f3ce2;path=/⟩. ⟨hal-04518848⟩
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  Hanâ Lbath. Learning and Evaluating Graphs From Spatially Structured Data : Application to Brain Functional Connectivity Networks. Machine Learning [cs.LG]. Université Grenoble Alpes [2020-..], 2023. English. ⟨NNT : 2023GRALM052⟩. ⟨tel-04515420⟩
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  Julyan Arbel, Stéphane Girard, Hadrien Lorenzo. Shrinkage for Extreme Partial Least Squares. 2023. ⟨hal-04251783v2⟩
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  Michaël Allouche, Stéphane Girard, Emmanuel Gobet. Learning out-of-sample Expected Shortfall and Conditional Tail Moments with neural networks. Application to cryptocurrency data. 2023. ⟨hal-04347859v3⟩
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  Mathias Barreto, Marchal Olivier, Julyan Arbel. Optimal sub-Gaussian variance proxy for truncated Gaussian and exponential random variables. 2024. ⟨hal-04503494⟩
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  Jacopo Iollo, Christophe Heinkele, Pierre Alliez, Florence Forbes. Tempered SMC for Sequential Bayesian Optimal Design. GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.501-504. ⟨hal-04497600⟩
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  Stéphane Girard, Cambyse Pakzad. Functional Extreme-PLS. 2024. ⟨hal-04488561⟩
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  Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel. Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits. 2024. ⟨hal-04470568⟩
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  Théo Moins. Bayesian computational methods for estimating extreme quantiles from environmental data. General Mathematics [math.GM]. Université Grenoble Alpes [2020-..], 2023. English. ⟨NNT : 2023GRALM049⟩. ⟨tel-04469538⟩
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  Clément Guichet, Élise Roger, Arnaud Attyé, Sophie Achard, Martial Mermillod, et al.. Dynamics of White Matter Architecture in Lexical Production among Middle-Aged Adults. 2024. ⟨hal-04461220⟩
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  Clément Guichet, Sonja Banjac, Sophie Achard, Martial Mermillod, Monica Baciu. Modeling the Neurocognitive Dynamics of Language across the Lifespan. 2024. ⟨hal-04448103⟩
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  Benjamin Lambert, Pauline Roca, Florence Forbes, Senan Doyle, Michel Dojat. Anisotropic Hybrid Networks for liver tumor segmentation with uncertainty quantification. REMIA 2023 - 2nd Workshop on Resource-Efficient Medical Image Analysi, Oct 2023, Vancouver (BC), Canada. ⟨10.48550/arXiv.2308.11969⟩. ⟨hal-04436251⟩
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  Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat. Multi-layer Aggregation as a key to feature-based OOD detection. UNSURE 2023 - 5th International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Oct 2023, Vancouver, Canada. ⟨10.48550/arXiv.2307.15647⟩. ⟨hal-04436227⟩
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  Benjamin Lambert, Florence Forbes, Senan Doyle, Michel Dojat. TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images. UNSURE 2023 - 5th International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, Oct 2023, Vancouver (BC), Canada. ⟨10.48550/arXiv.2307.15638⟩. ⟨hal-04436218⟩
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  Sylvain Douté, Florence Forbes, Stanislaw Borkowski, Samuel Heidmann, Luc Meyer. Massive analysis of multidimensional astrophysical data by inverse regression of physical models. GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.1-4. ⟨hal-04437626⟩

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