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Approachable Music Composition with Machine Learning at Scale., , , , , , и . ISMIR, стр. 793-800. (2019)Symbolic Music Generation with Diffusion Models., , , и . ISMIR, стр. 468-475. (2021)A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music., , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 4361-4370. PMLR, (2018)Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset., , , , , , , , и . CoRR, (2018)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".Encoding Musical Style with Transformer Autoencoders., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 1899-1908. PMLR, (2020)General-purpose, long-context autoregressive modeling with Perceiver AR., , , , , , , , , и 5 other автор(ы). ICML, том 162 из Proceedings of Machine Learning Research, стр. 8535-8558. PMLR, (2022)Improving Perceptual Quality of Drum Transcription with the Expanded Groove MIDI Dataset., , и . CoRR, (2020)Sequence-to-Sequence Piano Transcription with Transformers., , , , и . ISMIR, стр. 246-253. (2021)Multi-instrument Music Synthesis with Spectrogram Diffusion., , , , , , и . ISMIR, стр. 598-607. (2022)