publications

Hadjeres, G., Pachet, F. and Nielsen, F. DeepBach: a Steerable Model for Bach Chorales Generation. In Doina Precup and Yee Whye Teh, editor, Proceedings of the 34th International Conference on Machine Learning, Proceedings of Machine Learning Research (vol. 70), pages 1362-1371, International Convention Centre, Sydney, Australia, August 2017 PMLR.
2017
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Pachet, F., Papadopoulos, A. and Roy, P. Sampling Variations of Sequences for Structured Music Generation. Proceedings of the 18th International Society for Music Information Retrieval Conference, pages 23-27, Suzhou, China, October 2017 ISMIR.
2017
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Pachet, F. and Zils, A. Evolving Automatically High-Level Music Descriptors From Acoustic Signals. Springer Verlag LNCS, 2771:42-53, 2003
2003
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Zils, A. & Pachet, F. Extracting Automatically the Perceived Intensity of Music Titles. Proceedings of the 6th COST-G6 Conference on Digital Audio Effects (DAFX03), pages 180-183, London, U.K., September 2003 Queen Mary University
2003
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Miranda, E. R. Mimetic Development of Intonation. Proceedings of the 2nd International Conference on Music and Artificial Intelligence (ICMAI 2002), Springer Verlag - Lecture Notes on Artificial Intelligence. September 2002
2002
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Miranda, E. R. Readings in Music and Artificial Intelligence. Harwood Academic Publisher, 2000
2000
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Miranda, E. R. Machine Learning and Sound Design. Leonardo Music Journal, 7:49-55, 1998
1998
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