Paper-Conference

Disentangling shared and private latent factors in multimodal Variational Autoencoders
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Derivative-based neural modelling of cumulative distribution functions for survival analysis
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Feature allocation approach for multimorbidity trajectory modelling
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mmVAE: multimorbidity clustering using Relaxed Bernoulli $ $β$ $-Variational Autoencoders
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Basisdevae: Interpretable simultaneous dimensionality reduction and feature-level clustering with derivative-based variational autoencoders
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BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
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Exploiting VDJ recombination of T cells to dissect the anti-cancer immune interactions in T cell lymphoma
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Neural decomposition: Functional anova with variational autoencoders
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Augmented ensemble mcmc sampling in factorial hidden markov models
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Decomposing feature-level variation with covariate Gaussian process latent variable models
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