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FlowSynth: Simplifying Complex Audio Generation Through Explorable Latent Spaces with Normalizing Flows., , и . IJCAI, стр. 5273-5275. ijcai.org, (2020)Demo.Creative divergent synthesis with generative models., и . CoRR, (2022)Machine Learning for Computer Music Multidisciplinary Research: A Practical Case Study., и . CMMR, том 12631 из Lecture Notes in Computer Science, стр. 665-680. Springer, (2019)Bridging Audio Analysis, Perception and Synthesis with Perceptually-regularized Variational Timbre Spaces., , и . ISMIR, стр. 175-181. (2018)Modulated Variational auto-Encoders for many-to-many musical timbre transfer., , и . CoRR, (2018)Challenges in creative generative models for music: a divergence maximization perspective., и . CoRR, (2022)Cross-modal variational inference for bijective signal-symbol translation., , , , и . 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., , , , , и . CoRR, (2020)DYC12 agents: merging the "free", "reactive", and "scenario-based" music generation paradigms., , , , и . ICMC, Michigan Publishing, (2017)