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Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (3): 2879-2896 (March 2023)Geometry-Aware Hamiltonian Variational Auto-Encoder., , and . CoRR, (2020)Mixture of Conditional Gaussian Graphical Models for Unlabelled Heterogeneous Populations in the Presence of Co-factors., , and . SN Comput. Sci., 2 (6): 466 (2021)Variational Inference for Longitudinal Data Using Normalizing Flows., and . CoRR, (2023)Simulation of virtual cohorts increases predictive accuracy of cognitive decline in MCI subjects., , and . CoRR, (2019)Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application., , , , , and . ICAART (2), page 475-482. SCITEPRESS, (2020)A Geometric Perspective on Variational Autoencoders., and . NeurIPS, (2022)A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task., , , , , and . CoRR, (2018)Geodesic Shooting and Diffeomorphic Matching Via Textured Meshes., , and . EMMCVPR, volume 3757 of Lecture Notes in Computer Science, page 365-381. Springer, (2005)A new class of stochastic EM algorithms. Escaping local maxima and handling intractable sampling., and . Comput. Stat. Data Anal., (2021)