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Approachable Music Composition with Machine Learning at Scale., , , , , , и . ISMIR, стр. 793-800. (2019)Human-AI Co-Creation in Songwriting., , , , и . ISMIR, стр. 708-716. (2020)collabdraw: An Environment for Collaborative Sketching with an Artificial Agent., , и . Creativity & Cognition, стр. 556-561. ACM, (2019)The Duality of State and Observation in Probabilistic Transition Systems., , , , и . TbiLLC, том 7758 из Lecture Notes in Computer Science, стр. 206-230. Springer, (2011)Encoding Musical Style with Transformer Autoencoders., , , , и . CoRR, (2019)Music Transformer: Generating Music with Long-Term Structure, , , , , , , , , и . 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019, OpenReview.net, (2019)Music Transformer, , , , , , , , , и . (2018)cite arxiv:1809.04281Comment: Improved skewing section and accompanying figures. Previous titles are Än Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation" and "Music Transformer".Approximate Predictive Representations of Partially Observable Systems., и . ICML, стр. 895-902. Omnipress, (2010)Encoding Musical Style with Transformer Autoencoders., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 1899-1908. PMLR, (2020)