- A Critical Review of Recurrent Neural Networks for Sequence Learning
- Style Imitation and Chord Invention in Polyphonic Music with Exponential Families
- MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation
- Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
- MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
- Learning to Fuse Music Genres with Generative Adversarial Dual Learning
- Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation
- Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation
- The NES Music Database: A multi-instrumental dataset with expressive performance attributes
- Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network
- This Time with Feeling: Learning Expressive Musical Performance
- SING: Symbol-to-Instrument Neural Generator
- Latent Normalizing Flows for Discrete Sequences
- MelNet: A Generative Model for Audio in the Frequency Domain
- LakhNES: Improving multi-instrumental music generation with cross-domain pre-training
- NONOTO: A Model-agnosticWeb Interface for Interactive Music Composition by Inpainting
- Improving Polyphonic Music Models with Feature-Rich Encoding
- Towards democratizing music production with AI—Design of Variational Autoencoder-based Rhythm Generator as a DAW plugin
- Emotional Video to Audio Transformation Using Deep Recurrent Neural Networks and a Neuro-Fuzzy System
- Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
- Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
- POP909: A Pop-song Dataset for Music Arrangement Generation Music arrangement generation
- Jukebox: A Generative Model for Music
- Deep Learning for Music
- Deep Learning Techniques for Music Generation – A Survey
- Neural Shuffle-Exchange Networks − Sequence Processing in O(n log n) Time
- Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions
- Incorporating Music Knowledge in Continual Dataset Augmentation for Music Generation
- Automatic Music Generation and Machine Learning Based Evaluation
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