8 citations · 19 across the 4 of their papers we have counts for
8 papers
Modular Gaussian Processes for Transfer Learning
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
We present a framework for transfer learning based on modular variational Gaussian processes (GP). We develop a module-based method that having a dictionary of well fitted GPs, one…
Passive detection of behavioral shifts for suicide attempt prevention
Pablo Moreno-Muñoz, Lorena Romero-Medrano, Ángela Moreno +3
More than one million people commit suicide every year worldwide. The costs of daily cares, social stigma and treatment issues are still hard barriers to overcome in mental health.…
Recyclable Gaussian Processes
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
We present a new framework for recycling independent variational approximations to Gaussian processes. The main contribution is the construction of variational ensembles given a di…
Multinomial Sampling for Hierarchical Change-Point Detection
Lorena Romero-Medrano, Pablo Moreno-Muñoz, Antonio Artés-Rodríguez
Bayesian change-point detection, together with latent variable models, allows to perform segmentation over high-dimensional time-series. We assume that change-points lie on a lower…
Continual Multi-task Gaussian Processes
Pablo Moreno-Muñoz, Antonio Artés-Rodríguez, Mauricio A. Álvarez
We address the problem of continual learning in multi-task Gaussian process (GP) models for handling sequential input-output observations. Our approach extends the existing prior-p…
Continual Learning for Infinite Hierarchical Change-Point Detection
Pablo Moreno-Muñoz, David Ramírez, Antonio Artés-Rodríguez
Change-point detection (CPD) aims to locate abrupt transitions in the generative model of a sequence of observations. When Bayesian methods are considered, the standard practice is…