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Spectrogram Inpainting for Interactive Generation of Instrument Sounds


Apr 15, 2021
Théis Bazin, Gaëtan Hadjeres, Philippe Esling, Mikhail Malt

* Proceedings of the 1st Joint Conference on AI Music Creativity, 2020 (p. 10). Stockholm, Sweden: AIMC 
* 8 pages + references + appendices. 4 figures. Published as a conference paper at the The 2020 Joint Conference on AI Music Creativity, October 19-23, 2020, organized and hosted virtually by the Royal Institute of Technology (KTH), Stockholm, Sweden 

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Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation


Jul 17, 2020
Alisa Liu, Alexander Fang, Gaëtan Hadjeres, Prem Seetharaman, Bryan Pardo

* 2 pages, 2 figures, Machine Learning for Media Discovery (ML4MD) Workshop at ICML 2020 

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Vector Quantized Contrastive Predictive Coding for Template-based Music Generation


Apr 21, 2020
Gaëtan Hadjeres, Léopold Crestel

* 15 pages, 13 figures 

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Schoenberg-Rao distances: Entropy-based and geometry-aware statistical Hilbert distances


Feb 19, 2020
Gaëtan Hadjeres, Frank Nielsen

* 18 pages, 8 figures 

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A note on the quasiconvex Jensen divergences and the quasiconvex Bregman divergences derived thereof


Oct 04, 2019
Frank Nielsen, Gaëtan Hadjeres

* 19 pages, 3 figures, 1 table 

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NONOTO: A Model-agnostic Web Interface for Interactive Music Composition by Inpainting


Jul 23, 2019
Théis Bazin, Gaëtan Hadjeres

* 3 pages, 1 figure. Published as a conference paper at the 10th International Conference on Computational Creativity (ICCC 2019), UNC Charlotte, North Carolina 

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Neural Drum Machine : An Interactive System for Real-time Synthesis of Drum Sounds


Jul 04, 2019
Cyran Aouameur, Philippe Esling, Gaëtan Hadjeres

* 8 pages, accepted at the International Conference on Computational Creativity 2019 

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Learning to Traverse Latent Spaces for Musical Score Inpainting


Jul 02, 2019
Ashis Pati, Alexander Lerch, Gaëtan Hadjeres

* 20th International Society for Music Information Retrieval Conference (ISMIR), 2019, Delft, The Netherlands; 6 pages, 8 figures 

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On power chi expansions of $f$-divergences


Mar 14, 2019
Frank Nielsen, Gaëtan Hadjeres

* 21 pages 

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Variation Network: Learning High-level Attributes for Controlled Input Manipulation


Jan 11, 2019
Gaëtan Hadjeres

* 15 pages, 7 figures 

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Monte Carlo Information Geometry: The dually flat case


Mar 20, 2018
Frank Nielsen, Gaëtan Hadjeres

* 25 pages 

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Interactive Music Generation with Positional Constraints using Anticipation-RNNs


Sep 19, 2017
Gaëtan Hadjeres, Frank Nielsen

* 9 pages, 7 figures 

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Deep Learning Techniques for Music Generation - A Survey


Sep 05, 2017
Jean-Pierre Briot, Gaëtan Hadjeres, François Pachet

* 108 pages 

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GLSR-VAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures


Jul 14, 2017
Gaëtan Hadjeres, Frank Nielsen, François Pachet

* 11 pages 

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DeepBach: a Steerable Model for Bach Chorales Generation


Jun 17, 2017
Gaëtan Hadjeres, François Pachet, Frank Nielsen

* Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1362-1371, 2017 
* 10 pages, ICML2017 version 

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Style Imitation and Chord Invention in Polyphonic Music with Exponential Families


Sep 16, 2016
Gaëtan Hadjeres, Jason Sakellariou, François Pachet

* 18 pages, 11 figures 

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