Energy Time-Series Imputation with Differentially Private Diffusion Models via Clipping-Aware Objective Conditioning

arXiv:2610.00209 · cs.LG · Submitted 2026-09-21 · Read on arXiv

cs.LG

Submitted: 2026-09-21

Updated: 2026-09-21

Terminology

• Differentially Private — 1× in this paper · explained in 3 episodes
• Diffusion Model — 1× in this paper · explained in 9 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes

Sources

• Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
• TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
• Differentially Private Diffusion Models
• iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
• A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
• Progressive Distillation for Fast Sampling of Diffusion Models
• TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

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