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Time Series Generation

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Showing 26–50 of 87 papers

TitleStatusHype
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series GenerationCode1
Monte Carlo Simulation of SDEs using GANsCode1
IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems—0
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting—0
Leveraging Image-based Generative Adversarial Networks for Time Series Generation—0
Leveraging Priors via Diffusion Bridge for Time Series Generation—0
MSDformer: Multi-scale Discrete Transformer For Time Series Generation—0
On the Constrained Time-Series Generation Problem—0
Quantum Quantile Mechanics: Solving Stochastic Differential Equations for Generating Time-Series—0
Quick and Easy Time Series Generation with Established Image-based GANs—0
Random pattern and frequency generation using a photonic reservoir computer with output feedback—0
Regular Time-series Generation using SGM—0
Robust time series generation via Schrödinger Bridge: a comprehensive evaluation—0
StyleTime: Style Transfer for Synthetic Time Series Generation—0
Synthetic Time Series for Anomaly Detection in Cloud Microservices—0
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency—0
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts—0
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation—0
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models—0
Application of time-series quantum generative model to financial data—0
A Study of Posterior Stability for Time-Series Latent Diffusion—0
A Survey of Transformer Enabled Time Series Synthesis—0
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining—0
Attentive Gaussian processes for probabilistic time-series generation—0
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation—0
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