{"total":54,"rows":[{"id":"2404.18886","title":"A Survey on Diffusion Models for Time Series and Spatio-Temporal Data","created":"2024-04-29","cited_by_count":67,"area":"diffusion"},{"id":"2310.02619","title":"Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs","created":"2023-10-04","cited_by_count":49,"area":null},{"id":"2410.19538","title":"Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series","created":"2024-10-25","cited_by_count":43,"area":"diffusion"},{"id":"2502.05625","title":"Training-Free Constrained Generation With Stable Diffusion Models","created":"2025-02-08","cited_by_count":20,"area":"diffusion"},{"id":"2503.02445","title":"BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling","created":"2025-03-04","cited_by_count":19,"area":"diffusion"},{"id":"2501.00910","title":"Population Aware Diffusion for Time Series Generation","created":"2025-01-01","cited_by_count":16,"area":"diffusion"},{"id":"2505.20446","title":"Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach","created":"2025-05-26","cited_by_count":14,"area":null},{"id":"2407.04211","title":"TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation","created":"2024-07-05","cited_by_count":10,"area":"diffusion"},{"id":"2505.13358","title":"One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling","created":"2025-05-19","cited_by_count":9,"area":"diffusion"},{"id":"2309.16741","title":"Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections","created":"2023-09-28","cited_by_count":8,"area":null},{"id":"2509.20846","title":"Causal Time Series Generation via Diffusion Models","created":"2025-09-25","cited_by_count":8,"area":"diffusion"},{"id":"2410.12652","title":"Constrained Posterior Sampling: Time Series Generation with Hard Constraints","created":"2024-10-16","cited_by_count":7,"area":null},{"id":"2507.23021","title":"Modeling Human Gaze Behavior with Diffusion Models for Unified Scanpath Prediction","created":"2025-07-30","cited_by_count":7,"area":"diffusion"},{"id":"2510.06699","title":"A Diffusion Model for Regular Time Series Generation from Irregular Data with Completion and Masking","created":"2025-10-08","cited_by_count":7,"area":"diffusion"},{"id":"2408.06672","title":"TimeBridge: Better Diffusion Prior Design with Bridge Models for Time Series Generation","created":"2024-08-13","cited_by_count":6,"area":"diffusion"},{"id":"2409.02138","title":"A Financial Time Series Denoiser Based on Diffusion Model","created":"2024-09-02","cited_by_count":6,"area":"diffusion"},{"id":"2401.08119","title":"SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting","created":"2024-01-16","cited_by_count":5,"area":null},{"id":"2406.02322","title":"A Survey of Transformer Enabled Time Series Synthesis","created":"2024-06-04","cited_by_count":5,"area":null},{"id":"2402.09373","title":"Loss Shaping Constraints for Long-Term Time Series Forecasting","created":"2024-02-14","cited_by_count":4,"area":null},{"id":"2602.15878","title":"IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation","created":"2026-02-03","cited_by_count":4,"area":null},{"id":"2503.11741","title":"BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification","created":"2025-03-14","cited_by_count":3,"area":"ssm"},{"id":"2505.14202","title":"MSDformer: Multi-scale Discrete Transformer For Time Series Generation","created":"2025-05-20","cited_by_count":3,"area":null},{"id":"2508.02758","title":"CTBench: Cryptocurrency Time Series Generation Benchmark","created":"2025-08-03","cited_by_count":3,"area":null},{"id":"2509.20822","title":"T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models","created":"2025-09-25","cited_by_count":3,"area":"diffusion"},{"id":"2605.05736","title":"SDFlow: Similarity-Driven Flow Matching for Time Series Generation","created":"2026-05-07","cited_by_count":3,"area":"diffusion"},{"id":"2410.02168","title":"Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting","created":"2024-10-03","cited_by_count":2,"area":"diffusion"},{"id":"2502.10485","title":"Forecasting time series with constraints","created":"2025-02-14","cited_by_count":2,"area":null},{"id":"2509.18584","title":"DS-Diffusion: Data Style-Guided Diffusion Model for Time-Series Generation","created":"2025-09-23","cited_by_count":2,"area":"diffusion"},{"id":"2510.15366","title":"Sequence Modeling with Spectral Mean Flows","created":"2025-10-17","cited_by_count":2,"area":null},{"id":"2511.07968","title":"TimeFlow: Towards Stochastic-Aware and Efficient Time Series Generation via Flow Matching Modeling","created":"2025-11-11","cited_by_count":2,"area":"diffusion"},{"id":"2511.14488","title":"Towards Stable and Structured Time Series Generation with Perturbation-Aware Flow Matching","created":"2025-11-18","cited_by_count":2,"area":"diffusion"},{"id":"2601.11184","title":"TimeMar: Multi-Scale Autoregressive Modeling for Unconditional Time Series Generation","created":"2026-01-16","cited_by_count":2,"area":null},{"id":"2605.30387","title":"Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification","created":"2026-05-28","cited_by_count":2,"area":"diffusion"},{"id":"2606.01634","title":"E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation","created":"2026-06-01","cited_by_count":2,"area":null},{"id":"2308.15730","title":"Fully Embedded Time-Series Generative Adversarial Networks","created":"2023-08-30","cited_by_count":1,"area":null},{"id":"2506.05276","title":"How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control","created":"2025-06-05","cited_by_count":1,"area":null},{"id":"2508.01504","title":"Instruction-based Time Series Editing","created":"2025-08-02","cited_by_count":1,"area":null},{"id":"2605.28867","title":"PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation","created":"2026-05-22","cited_by_count":1,"area":"diffusion"},{"id":"2606.05239","title":"HyFAD: Hybrid Time-Frequency Diffusion with Frequency-Aware Embedding for Time Series Imputation","created":"2026-06-03","cited_by_count":1,"area":"diffusion"},{"id":"2507.14224","title":"Diffusion-based translation between unpaired spontaneous premature neonatal EEG and fetal MEG","created":"2025-07-16","cited_by_count":0,"area":null},{"id":"2509.19638","title":"TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation","created":"2025-09-23","cited_by_count":0,"area":"diffusion"},{"id":"2511.00747","title":"Effective Series Decomposition and Components Learning for Time Series Generation","created":"2025-11-02","cited_by_count":0,"area":null},{"id":"2603.19970","title":"Graph2TS: Structure-Controlled Time Series Generation via Quantile-Graph VAEs","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2605.25439","title":"Missing Pattern Recognized Diffusion Imputation Model for Missing Not At Random","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2605.27113","title":"High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2605.27397","title":"IGADA-IoT: IoT Sensor Energy Optimization in Wireless Sensor Networks Driven by Automatic Data Augmentation","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2606.10466","title":"UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2607.06020","title":"Stochastic generator of trajectories from record data: application to the fluctuations of a glacier's frontal position from a sample of moraines","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.20545","title":"StrideDiffusion: Accelerating Diffusion Models for Time-series Generation","created":"2026-07-13","cited_by_count":0,"area":"diffusion"},{"id":"2609.02068","title":"DynG-Diff: A State-Aware Dynamic Guidance Diffusion Framework for Probabilistic Time Series Forecasting","created":"2026-09-02","cited_by_count":0,"area":null},{"id":"2609.33761","title":"StatD2GAN: When Calibration Masks Generator Quality in Held-Out Evaluation of Synthetic Weather Sequences","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.34511","title":"HALO: Enhancing Time Series Generation via Hyperspherical Latents and Masked AutoregRessive Modeling","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2610.17407","title":"Cross-View Time-Frequency Diffusion for Extreme-Aware Time-Series Generation","created":"2026-10-12","cited_by_count":0,"area":null},{"id":"2610.18621","title":"Deterministic Prediction as Global Velocity: Flow Matching for Probabilistic Time-Series Forecast","created":"2026-10-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}