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DeepBach: a Steerable Model for Bach Chorales Generation.

, , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 1362-1371. PMLR, (2017)

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Learning to Traverse Latent Spaces for Musical Score Inpainting., , and . ISMIR, page 343-351. (2019)Quasiconvex Jensen Divergences and Quasiconvex Bregman Divergences., and . SPIGL, 361, page 196-218. Springer, (2020)NONOTO: A Model-agnostic Web Interface for Interactive Music Composition by Inpainting., and . ICCC, page 89-91. Association for Computational Creativity (ACC), (2019)PESTO: Pitch Estimation With Self-Supervised Transposition-Equivariant Objective., , , and . ISMIR, page 535-544. (2023)Stem-JEPA: A Joint-Embedding Predictive Architecture for Musical Stem Compatibility Estimation., , , , and . CoRR, (2024)Vector Quantized Contrastive Predictive Coding for Template-based Music Generation., and . CoRR, (2020)CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis., and . ISMIR, page 579-585. (2021)Investigating Design Choices in Joint-Embedding Predictive Architectures for General Audio Representation Learning., , , and . ICASSP Workshops, page 680-684. IEEE, (2024)Interactive deep generative models for symbolic music. (Modèles génératifs profonds pour la génération interactive de musique symbolique).. Sorbonne University, Paris, France, (2018)Neural Drum Machine : An Interactive System for Real-time Synthesis of Drum Sounds., , and . ICCC, page 92-99. Association for Computational Creativity (ACC), (2019)