| Time-series Transformer Generative Adversarial Networks | May 23, 2022 | Question AnsweringTime Series | CodeCode Available | 3 | 5 |
| Diffusion-TS: Interpretable Diffusion for General Time Series Generation | Mar 4, 2024 | Audio SynthesisDecoder | CodeCode Available | 3 | 5 |
| T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models | May 5, 2025 | Time SeriesTime Series Generation | CodeCode Available | 2 | 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 |
| Diffusion Transformers for Tabular Data Time Series Generation | Apr 10, 2025 | Tabular Data GenerationTime Series | CodeCode Available | 1 | 5 |
| Deep Latent State Space Models for Time-Series Generation | Dec 24, 2022 | State Space ModelsTime Series | CodeCode Available | 1 | 5 |
| Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling | Nov 21, 2023 | Anomaly DetectionTime Series | 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 |
| Conditional Sig-Wasserstein GANs for Time Series Generation | Jun 9, 2020 | 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 |
