SDFlow: Similarity-Driven Flow Matching for Time Series Generation

arXiv:2605.05736 · cs.AI · Submitted 2026-05-07 · Read on arXiv

cs.AI

Submitted: 2026-05-07

Updated: 2026-10-06

Code: https://github.com/William-Liwei/SDFlow

Terminology

• Exposure Bias — 2× in this paper · explained in 2 episodes
• Flow Matching — 2× in this paper · explained in 10 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Vector Quantization (VQ) — 1× in this paper · explained in 2 episodes

Sources

• Building Normalizing Flows with Stochastic Interpolants
• Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
• Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
• Flow Matching on General Geometries
• TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation
• FlowTS: Time Series Generation via Rectified Flow
• DiffWave: A Versatile Diffusion Model for Audio Synthesis
• Flow Matching for Generative Modeling
• Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
• Purrception: Variational Flow Matching for Vector-Quantized Image Generation
• Generalization in Generation: A closer look at Exposure Bias
• Improving and generalizing flow-based generative models with minibatch optimal transport
• Diffusion-TS: Interpretable Diffusion for General Time Series Generation
• T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

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