This book constitutes the proceedings of the 14th International Conference on Latent Variable
Analysis and Signal Separation LVA ICA 2018 held in Guildford UK in July 2018.The 52 full
papers were carefully reviewed and selected from 62 initial submissions. As research topics the
papers encompass a wide range of general mixtures of latent variables models but also theories
and tools drawn from a great variety of disciplines such as structured tensor decompositions
and applications matrix and tensor factorizations ICA methods nonlinear mixtures audio data
and methods signal separation evaluation campaign deep learning and data-driven methods
advances in phase retrieval and applications sparsity-related methods and biomedical data and
methods.
