I'm currently Research Scientist at AT&T Labs. I am mainly interested in machine learning applications, especially search, information retrieval, and music.
Some Publications
J. Arguello, F. Diaz, and J.-F. Paiement.
Vertical Selection in the Presence of Unlabeled Verticals. Proceedings of the 33rd Annual ACM SIGIR Conference, 2010.
J.-F. Paiement, S. Bengio, and D. Eck.
Probabilistic Models for Melodic Prediction. Artificial Intelligence, 173 (14):1266-1274, Elsevier, 2009.
J.-F. Paiement, Y. Grandvalet, and S. Bengio. Predictive Models for Music. Connection Science special issue on "Music, Brain, & Cognition", 21 (2-3):253-272, Taylor & Francis, 2009.
J.-F. Paiement, Y. Grandvalet, S. Bengio, and D. Eck. A Distance Model for Rhythms. Proceedings of the 25th International Conference on Machine
Learning (ICML), 2008.
J.-F. Paiement, D. Eck, and S. Bengio. Probabilistic Melodic Harmonization. Proceedings of the 19th Canadian Conference on Artificial
Intelligence, 2006.
J.-F. Paiement, D. Eck, and S. Bengio. A Probabilistic Model for Chord
Progressions. Proceedings of the 6th International Conference on Music
Information Retrieval (ISMIR), 2005.
Y. Bengio, P. Vincent, J.-F. Paiement, O. Delalleau, M. Ouimet, and N.
Le Roux. Spectral
Clustering and Kernel PCA are Learning Eigenfunctions.
Technical Report 1239, Département d'informatique et recherche
opérationnelle, Université de Montréal, 2003.