Unsupervised Scalable Representation Learning for Multivariate Time Series

Jean-Yves Franceschi (1) , Aymeric Dieuleveut (2, 3) , Martin Jaggi (2)

1 MLIA - Machine Learning and Information Access
2 School of Computer and Communication Sciences - EPFL
3 CMAP - Centre de Mathématiques Appliquées - Ecole Polytechnique

Domaines: Apprentissage [cs.LG]; Réseau de neurones [cs.NE]; Machine Learning [stat.ML]

Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi. Unsupervised Scalable Representation Learning for Multivariate Time Series. Hanna Wallach; Hugo Larochelle; Alina Beygelzimer; Florence d'Alché-Buc; Emily Fox; Roman Garnett. Thirty-third Conference on Neural Information Processing Systems, Dec 2019, Vancouver, Canada. Curran Associates, Inc., 32, Advances in Neural Information Processing Systems. ⟨hal-02320167v2⟩