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DYC12 agents: merging the "free", "reactive", and "scenario-based" music generation paradigms.

, , , , and . ICMC, Michigan Publishing, (2017)

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FlowSynth: Simplifying Complex Audio Generation Through Explorable Latent Spaces with Normalizing Flows., , and . IJCAI, page 5273-5275. ijcai.org, (2020)Demo.Creative divergent synthesis with generative models., and . CoRR, (2022)Machine Learning for Computer Music Multidisciplinary Research: A Practical Case Study., and . CMMR, volume 12631 of Lecture Notes in Computer Science, page 665-680. Springer, (2019)Modulated Variational auto-Encoders for many-to-many musical timbre transfer., , and . CoRR, (2018)Bridging Audio Analysis, Perception and Synthesis with Perceptually-regularized Variational Timbre Spaces., , and . ISMIR, page 175-181. (2018)Challenges in creative generative models for music: a divergence maximization perspective., and . CoRR, (2022)Cross-modal variational inference for bijective signal-symbol translation., , , , and . CoRR, (2020)Manifold representations of musical signals and generative spaces. (Représentations variationnelles de signaux musicaux et espaces génératifs).. Sorbonne University, Paris, France, (2020)Diet deep generative audio models with structured lottery., , , , , and . CoRR, (2020)DYC12 agents: merging the "free", "reactive", and "scenario-based" music generation paradigms., , , , and . ICMC, Michigan Publishing, (2017)