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Multi-Channel Causal Variational Autoencoder

Subjects: Multi-channel; Causal discovery; Variational Autoencoder

  • Source: https://hal.science/hal-04666466 ; 2024.

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Conference

Assessing Ionic Current Blockades and Electromechanical Biomarkers’ Interrelations Through a Novel Multi-Channel Causal Variational Autoencoder

Subjects: Multi-channel; Variational auto-encoder; Torsade de pointesKarlsruhe (Germany); Germany

  • Source: Computing in Cardiology 2024 ; 2024 Computing in Cardiology Conference ; https://hal.science/hal-04607082 ; 2024 Computing in Cardiology Conference, Sep 2024, Karlsruhe (Germany), Germany.

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Assessing ion channel blockade and electromechanical biomarkers’ interrelations through a novel Multi-Channel Causal Variational Autoencoder

Subjects: Multi-channel; Variational auto-encoder; Torsade de pointes

  • Source: https://hal.science/hal-04607082 ; 2024.

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Conference

The Deep Zero-Inflated Latent Position Block Model for the Clustering of Nodes in Graphs

Subjects: Nodes clustering; Graph variational autoencoder; Block modellingMarseille; France

  • Source: Journée Statistique de la SFds ; https://hal.science/hal-04947021 ; Journée Statistique de la SFds, Société Française de statistiques (SFds), Jun 2025, Marseille, France

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Quasi-Symplectic Langevin Variational Autoencoder

Subjects: [INFO]Computer Science [cs]; [MATH]Mathematics [math]

  • Source: https://inria.hal.science/hal-03024748 ; 2021.

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Conference

Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data

Subjects: [STAT.OT]Statistics [stat]/Other Statistics [stat.ML]Long Beach; United States

  • Source: ICML 2019 - 36th International Conference on Machine Learning ; https://inria.hal.science/hal-02154181 ; ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United

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Academic Journal

Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data

Subjects: [STAT.OT]Statistics [stat]/Other Statistics [stat.ML]; [STAT.ME]Statistics [stat]/Methodology [stat.ME]

  • Source: ISSN: 1938-7228 ; Proceedings of Machine Learning Research ; https://inria.hal.science/hal-02395747 ; Proceedings of Machine Learning Research, 2019, Proceedings of ICML 2019, 97, pp.302--311 ;

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Academic Journal

Learning a Generative Motion Model from Image Sequences based on a Latent Motion Matrix

Subjects: motion model; deformable registration; conditional variational autoencoder

  • Source: ISSN: 0278-0062 ; IEEE Transactions on Medical Imaging ; https://hal.science/hal-03126419 ; IEEE Transactions on Medical Imaging, 2021, ⟨10.1109/TMI.2021.3056531⟩.

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Learning a Probabilistic Model for Diffeomorphic Registration

Subjects: deformable registration; deformation transport; latent variable model

  • Source: ISSN: 0278-0062 ; IEEE Transactions on Medical Imaging ; https://hal.science/hal-01978339 ; IEEE Transactions on Medical Imaging, 2019, pp.2165-2176. ⟨10.1109/TMI.2019.2897112⟩.

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Dissertation/ Thesis

Statistical learning on heterogeneous medical data with bayesian latent variable models : application to neuroimaging dementia studies ; Apprentissage statistique sur des données médicales hétérogènes avec des modèles Bayésiens à variables latentes : application aux études de neuroimagerie pour les maladies neurodégénératives

Subjects: Alzheimer’s disease; Neuro-imaging; Magnetic resonance imaging

  • Source: https://theses.hal.science/tel-03474169 ; Statistics [math.ST]. Université Côte d'Azur, 2021. English. ⟨NNT : 2021COAZ4050⟩.

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  • 1-10 of  18 results for ""Variational autoencoder""