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Time Series Generation

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Showing 26–50 of 87 papers

TitleStatusHype
Conditional Sig-Wasserstein GANs for Time Series GenerationCode1
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signalsCode1
How to Unlock Time Series Editing? Diffusion-Driven Approach with Multi-Grained Control—0
Trajectory Generator Matching for Time Series—0
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation—0
MSDformer: Multi-scale Discrete Transformer For Time Series Generation—0
Challenges and Limitations in the Synthetic Generation of mHealth Sensor Data—0
Diffusion-assisted Model Predictive Control Optimization for Power System Real-Time Operation—0
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation—0
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency—0
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion ModelsCode0
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation—0
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling—0
Robust time series generation via Schrödinger Bridge: a comprehensive evaluation—0
CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios—0
Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin—0
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts—0
AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series GenerationCode0
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting—0
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time SeriesCode0
IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems—0
Federated Time Series Generation on Feature and Temporally Misaligned Data—0
Constrained Posterior Sampling: Time Series Generation with Hard Constraints—0
Exploring Fungal Morphology Simulation and Dynamic Light Containment from a Graphics Generation Perspective—0
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation—0
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