| Diffusion-TS: Interpretable Diffusion for General Time Series Generation | Mar 4, 2024 | Audio SynthesisDecoder | CodeCode Available | 3 | 5 |
| Time-series Transformer Generative Adversarial Networks | May 23, 2022 | Question AnsweringTime Series | CodeCode Available | 3 | 5 |
| Closing the Gap Between Synthetic and Ground Truth Time Series Distributions via Neural Mapping | Jan 29, 2025 | Time SeriesTime Series Classification | CodeCode Available | 2 | 5 |
| T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models | May 5, 2025 | Time SeriesTime Series Generation | CodeCode Available | 2 | 5 |
| SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning | Oct 28, 2024 | Generative Adversarial NetworkTime Series | CodeCode Available | 1 | 5 |
| Time-Transformer: Integrating Local and Global Features for Better Time Series Generation | Dec 18, 2023 | Data AugmentationDecoder | CodeCode Available | 1 | 5 |
| TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation | Nov 15, 2021 | Synthetic Data GenerationTime Series | CodeCode Available | 1 | 5 |
| FM-TS: Flow Matching for Time Series Generation | Nov 12, 2024 | BenchmarkingImputation | CodeCode Available | 1 | 5 |
| Time Series Generation with Masked Autoencoder | Jan 14, 2022 | Data AugmentationDecoder | CodeCode Available | 1 | 5 |
| Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs | Oct 4, 2023 | Irregular Time SeriesTime Series | CodeCode Available | 1 | 5 |
| PCF-GAN: generating sequential data via the characteristic function of measures on the path space | May 21, 2023 | Time SeriesTime Series Generation | CodeCode Available | 1 | 5 |
| Non-adversarial training of Neural SDEs with signature kernel scores | May 25, 2023 | Irregular Time SeriesTime Series Generation | CodeCode Available | 1 | 5 |
| Population Aware Diffusion for Time Series Generation | Jan 1, 2025 | Time SeriesTime Series Generation | CodeCode Available | 1 | 5 |
| ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation | Sep 21, 2024 | Time SeriesTime Series Generation | CodeCode Available | 1 | 5 |
| Diffusion Transformers for Tabular Data Time Series Generation | Apr 10, 2025 | Tabular Data GenerationTime Series | CodeCode Available | 1 | 5 |
| MTSS-GAN: Multivariate Time Series Simulation Generative Adversarial Networks | Jun 26, 2020 | Generative Adversarial NetworkImage Generation | CodeCode Available | 1 | 5 |
| Deep Latent State Space Models for Time-Series Generation | Dec 24, 2022 | State Space ModelsTime Series | CodeCode Available | 1 | 5 |
| Conditional Sig-Wasserstein GANs for Time Series Generation | Jun 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals | Jun 5, 2018 | Data AugmentationEEG | CodeCode Available | 1 | 5 |
| Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling | Nov 21, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Sig-Wasserstein GANs for Time Series Generation | Nov 1, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Monte Carlo Simulation of SDEs using GANs | Apr 3, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Causal Recurrent Variational Autoencoder for Medical Time Series Generation | Jan 16, 2023 | Causal InferenceDecoder | CodeCode Available | 1 | 5 |
| Multi-Label Clinical Time-Series Generation via Conditional GAN | Apr 10, 2022 | Representation LearningTime Series | CodeCode Available | 1 | 5 |
| Transformer-based conditional generative adversarial network for multivariate time series generation | Oct 5, 2022 | Data AugmentationGenerative Adversarial Network | CodeCode Available | 1 | 5 |
