Co-occurring keywords · papers mentioning both
Papers
Context-Aware Diffusion for Telemetry Time Series with Permutation-Stable Feature Modeling (Student Abstract)
AAAI 2026
DiM-TS: Bridge the Gap Between Selective State Space Models and Time Series for Generative Modeling
AAAI 2026
FloodDiffusion: Tailored Diffusion Forcing for Streaming Motion Generation
CVPR 2026
K-ProtoDiff: Key Prototypes-Guided Diffusion for Time Series Generation
AAAI 2026
TSGDiff: Rethinking Synthetic Time Series Generation from a Pure Graph Perspective
AAAI 2026
Population Aware Diffusion for Time Series Generation
AAAI 2025
SigDiffusions: Score-Based Diffusion Models for Time Series via Log-Signature Embeddings
ICLR 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
AAAI 2025
Variational Schrödinger Momentum Diffusion
AISTATS 2025
Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow
AAAI 2024
Diffusion-TS: Interpretable Diffusion for General Time Series Generation
ICLR 2024
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
NeurIPS 2024
Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context
AAAI 2024
SDformer: Similarity-driven Discrete Transformer For Time Series Generation
NeurIPS 2024
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
NeurIPS 2024
AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation
AAAI 2023
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
AAAI 2023
Deep Latent State Space Models for Time-Series Generation
ICML 2023
Directed Chain Generative Adversarial Networks
ICML 2023
Non-adversarial training of Neural SDEs with signature kernel scores
NeurIPS 2023
On the Constrained Time-Series Generation Problem
NeurIPS 2023
PCF-GAN: generating sequential data via the characteristic function of measures on the path space
NeurIPS 2023
Vector Quantized Time Series Generation with a Bidirectional Prior Model
AISTATS 2023
Capturing actionable dynamics with structured latent ordinary differential equations
UAI 2022
Conditional Loss and Deep Euler Scheme for Time Series Generation
AAAI 2022