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Time Series Generation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Trajectory Generator Matching for Time Series
Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
MSDformer: Multi-scale Discrete Transformer For Time Series Generation
Challenges and Limitations in the Synthetic Generation of mHealth Sensor Data
Diffusion-assisted Model Predictive Control Optimization for Power System Real-Time Operation
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
Diffusion Transformers for Tabular Data Time Series Generation
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
Robust time series generation via Schrödinger Bridge: a comprehensive evaluation
Closing the Gap Between Synthetic and Ground Truth Time Series Distributions via Neural Mapping
CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios
Time series forecasting for multidimensional telemetry data using GAN and BiLSTM in a Digital Twin
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation
Population Aware Diffusion for Time Series Generation
LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting
PATH: A Discrete-sequence Dataset for Evaluating Online Unsupervised Anomaly Detection Approaches for Multivariate Time Series
FM-TS: Flow Matching for Time Series Generation
IMUDiffusion: A Diffusion Model for Multivariate Time Series Synthetisation for Inertial Motion Capturing Systems
Federated Time Series Generation on Feature and Temporally Misaligned Data
SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning
Constrained Posterior Sampling: Time Series Generation with Hard Constraints
ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation
Exploring Fungal Morphology Simulation and Dynamic Light Containment from a Graphics Generation Perspective
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining
Leveraging Priors via Diffusion Bridge for Time Series Generation
Synthetic Time Series for Anomaly Detection in Cloud Microservices
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models
TimeLDM: Latent Diffusion Model for Unconditional Time Series Generation
SigDiffusions: Score-Based Diffusion Models for Long Time Series via Log-Signature Embeddings
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