{"total":17,"rows":[{"id":"2307.11494","title":"Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting","created":"2023-07-21","cited_by_count":88,"area":"diffusion"},{"id":"2407.04211","title":"TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation","created":"2024-07-05","cited_by_count":10,"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":"2506.06407","title":"TimeWak: Temporal Chained-Hashing Watermark for Time Series Data","created":"2025-06-06","cited_by_count":3,"area":"diffusion"},{"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":"2511.12174","title":"TSGDiff: Rethinking Synthetic Time Series Generation from a Pure Graph Perspective","created":"2025-11-15","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":"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":"2505.14739","title":"Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUs","created":"2025-05-20","cited_by_count":1,"area":"diffusion"},{"id":"2508.21330","title":"Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models","created":"2025-08-29","cited_by_count":1,"area":"diffusion"},{"id":"2602.07033","title":"TransConv-DDPM: Enhanced Diffusion Model for Generating Time-Series Data in Healthcare","created":"2026-02-03","cited_by_count":1,"area":"diffusion"},{"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":"2506.03502","title":"CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model","created":"2025-06-04","cited_by_count":0,"area":"diffusion"},{"id":"2511.19256","title":"SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting","created":"2025-11-24","cited_by_count":0,"area":"diffusion"},{"id":"2602.17706","title":"Parallel Complex Diffusion for Scalable Time Series Generation","created":"2026-02-10","cited_by_count":0,"area":"diffusion"},{"id":"2609.39374","title":"Wavelet Flow Matching for Time Series","created":"2026-09-30","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}