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stat.ML2019
Monotonic Gaussian Process for Spatio-Temporal Disease Progression Modeling in Brain Imaging Data
Clement Abi Nader, Nicholas Ayache, Philippe Robert +1
We introduce a probabilistic generative model for disentangling spatio-temporal disease trajectories from series of high-dimensional brain images. The model is based on spatio-temp…
stat.ML2018
Constraining the Dynamics of Deep Probabilistic Models
Marco Lorenzi, Maurizio Filippone
We introduce a novel generative formulation of deep probabilistic models implementing "soft" constraints on their function dynamics. In particular, we develop a flexible methodolog…