Search Results for author: L. Julian Lechuga Lopez

Found 2 papers, 0 papers with code

Informative Priors Improve the Reliability of Multimodal Clinical Data Classification

no code implementations17 Nov 2023 L. Julian Lechuga Lopez, Tim G. J. Rudner, Farah E. Shamout

We use simple and scalable Gaussian mean-field variational inference to train a Bayesian neural network using the M2D2 prior.

Time Series Variational Inference

Privacy-preserving machine learning for healthcare: open challenges and future perspectives

no code implementations27 Mar 2023 Alejandro Guerra-Manzanares, L. Julian Lechuga Lopez, Michail Maniatakos, Farah E. Shamout

Machine Learning (ML) has recently shown tremendous success in modeling various healthcare prediction tasks, ranging from disease diagnosis and prognosis to patient treatment.

Privacy Preserving

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