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Collection : Ephe (Ecole Pratique Des Hautes Etudes, Paris)
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Conference

A multimodal variational autoencoder for estimating progression scores from imaging and microRNA data in rare neurodegenerative diseases

Subjects: Neurodegenerative disease; Disease progression score; Deep learningSan Diego; California; United States

  • Source: SPIE Medical Imaging 2022: Image Processing ; https://hal.science/hal-03576117 ; SPIE Medical Imaging 2022: Image Processing, Feb 2022, San Diego, California, United States. pp.376-382,

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Academic Journal

Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

Subjects: Data Augmentation; Variational Autoencoder; Latent space representation

  • Source: ISSN: 0162-8828 ; IEEE Transactions on Pattern Analysis and Machine Intelligence ; https://hal.science/hal-03214093 ; IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022,

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Conference

Data Augmentation with Variational Autoencoders and Manifold Sampling

Subjects: Data Augmentation; Low sample size setting; Variational AutoEncoderStrasbourg; France

  • Source: DALI 2021 : 1st MICCAI Workshop on Data Augmentation, Labeling, and Imperfections ; https://hal.science/hal-03180775 ; DALI 2021 : 1st MICCAI Workshop on Data Augmentation, Labeling, and

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Academic Journal

New deep learning-based methods for visualizing ecosystem properties using environmental DNA metabarcoding data

Subjects: machine learning; environmental DNA; deep learning

  • Source: ISSN: 1755-098X.

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Dissertation/ Thesis

Modeling the latent space of variational autoencoders ; Modélisation et structuration de l'espace latent des auto-encodeurs variationnels

Subjects: Variational inference; Generative models; Riemannian geometry

  • Source: https://theses.hal.science/tel-04686781 ; Mathematics [math]. Université Paris Cité, 2023. English. ⟨NNT : 2023UNIP7207⟩.

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Dissertation/ Thesis

Modeling the Latent Space of Variational Autoencoders ; Modélisation et structuration de l’espace latent des Variational Auto-Encoders

Subjects: Variational Inference; Generative Models; Riemannian Geometry

  • Source: https://theses.hal.science/tel-04608330 ; Machine Learning [stat.ML]. Université Paris Cite, 2023. English. ⟨NNT : ⟩.

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Report

Improving Multimodal Joint Variational Autoencoders through Normalizing Flows and Correlation Analysis

Subjects: Multimodal Machine Learning; Variational Autoencoders; Normalizing Flows

  • Source: https://hal.science/hal-04207134 ; 2023.

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  • 1-7 of  7 results for ""Variational autoencoder""