mlsanityData to 14 Oct 2026

C-RNN-GAN: Continuous recurrent neural networks with adversarial training

arXiv 1611.09904 ↗First posted 29 Nov 2016cs.AI cs.LGcited by 132

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Abstract (arXiv)

Generative adversarial networks have been proposed as a way of efficiently training deep generative neural networks. We propose a generative adversarial model that works on continuous sequential data, and apply it by training it on a collection of classical music. We conclude that it generates music that sounds better and better as the model is trained, report statistics on generated music, and let the reader judge the quality by downloading the generated songs.

Key facts. Cited by 132 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Nov 2016.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 27; 2022: 21; 2023: 30; 2024: 19; 2025: 23; 2026: 12.

132 papers.

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  1. 2021TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generationcited by 142
  2. 2023Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospectscited by 99
  3. 2023Diffusion Models for Time Series Applications: A Surveycited by 72
  4. 2021PSA-GAN: Progressive Self Attention GANs for Synthetic Time Seriescited by 58
  5. 2023On the Constrained Time-Series Generation Problemcited by 54
  6. 2023Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEscited by 49
  7. 2021Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applicationscited by 47
  8. 2023Causal Recurrent Variational Autoencoder for Medical Time Series Generationcited by 45
  9. 2022GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networkscited by 44
  10. 2024Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Seriescited by 43
  11. 2021Causal Inference for Time series Analysis: Problems, Methods and Evaluationcited by 42
  12. 2022Data Augmentation techniques in time series domain: A survey and taxonomycited by 41
38 more
  1. 2024Foundation Models for Music: A Surveycited by 37
  2. 2022Multitrack Music Transformercited by 28
  3. 2021Towards Generating Real-World Time Series Datacited by 26
  4. 2023TSGBench: Time Series Generation Benchmarkcited by 26
  5. 2023Reliable Generation of Privacy-preserving Synthetic Electronic Health Record Time Series via Diffusion Modelscited by 24
  6. 2022Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)cited by 23
  7. 2023Regular Time-series Generation using SGMcited by 23
  8. 2021Generative adversarial networks in time series: A survey and taxonomycited by 21
  9. 2022TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentationcited by 21
  10. 2021A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequencescited by 17
  11. 2025Population Aware Diffusion for Time Series Generationcited by 16
  12. 2021GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Networkcited by 15
  13. 2024Frechet Music Distance: A Metric For Generative Symbolic Music Evaluationcited by 15
  14. 2021On the Fairness of Generative Adversarial Networks (GANs)cited by 14
  15. 2021A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensingcited by 13
  16. 2023Market-GAN: Adding Control to Financial Market Data Generation with Semantic Contextcited by 13
  17. 2021Music Composition with Deep Learning: A Reviewcited by 12
  18. 2022Time Series Generation with Masked Autoencodercited by 12
  19. 2022A Review of Intelligent Music Generation Systemscited by 11
  20. 2022Time-series Transformer Generative Adversarial Networkscited by 10
  21. 2025Survey on the Evaluation of Generative Models in Musiccited by 10
  22. 2022Fractional SDE-Net: Generation of Time Series Data with Long-term Memorycited by 9
  23. 2023Time-series Generation by Contrastive Imitationcited by 9
  24. 2024BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesiscited by 9
  25. 2025Towards Identifiability of Hierarchical Temporal Causal Representation Learningcited by 9
  26. 2021Towards Better Adversarial Synthesis of Human Images from Textcited by 7
  27. 2021Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Mapscited by 7
  28. 2023A Comprehensive Survey for Evaluation Methodologies of AI-Generated Musiccited by 7
  29. 2021A Spectral Enabled GAN for Time Series Data Generationcited by 6
  30. 2023TS-Diffusion: Generating Highly Complex Time Series with Diffusion Modelscited by 6
  31. 2023Time-Transformer: Integrating Local and Global Features for Better Time Series Generation (Extended Version)cited by 6
  32. 2024SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learningcited by 6
  33. 2021Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemiccited by 5
  34. 2022Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 modelcited by 5
  35. 2024A Survey of Deep Learning Audio Generation Methodscited by 5
  36. 2024TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Datacited by 5
  37. 2021Conditional Loss and Deep Euler Scheme for Time Series Generationcited by 4
  38. 2021CycleDRUMS: Automatic Drum Arrangement For Bass Lines Using CycleGANcited by 4

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