arXiv Machine Learning June 29, 2026 By Ruoyu Hu, Dahai Yu, Feng Bao, Guang Wang, Guannan Zhang

Diffusion Model-Based Data Assimilation for Real-World Energy Consumption Forecasting

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arXiv:2605. 29072v3 Announce Type: replace Abstract: Accurate estimation and forecasting of energy consumption are important for power-system operation, planning, and demand-side management.

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diffusion

arXiv Machine Learning

Jun 2

Ensemble Score Filtering for Real-Data Energy Consumption Forecast Correction

arXiv:2605. 29072v2 Announce Type: replace Abstract: Accurate estimation and forecasting of energy consumption are important for power-system operation, planning, and demand-side management.

By Ruoyu Hu, Dahai Yu, Feng Bao, Guang Wang, Guannan Zhang

diffusion

arXiv Machine Learning

Jul 15

Ensemble Controlled-Flow Filtering for Implicit Data Assimilation

arXiv:2607. 12975v1 Announce Type: cross Abstract: Data assimilation estimates the state of a dynamical system from model forecasts and incoming observations.

By Zhuoyuan Li, Yue Zhao, Ming Li

multimodal

arXiv Machine Learning

Jun 26

Learning Probabilistic Filters with Strictly Proper Scoring Rules

arXiv:2606. 26497v1 Announce Type: new Abstract: Bayesian filtering of partially and noisily observed dynamical systems seeks to infer the evolving conditional distribution of the state of a dynamical system, given observations, in an online fashion.

By Eviatar Bach, Ricardo Baptista, Jochen Br\"ocker, Bohan Chen, Andrew Stuart

llms multimodal safety

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Ensemble Controlled-Flow Filtering for Implicit Data Assimilation

Data assimilation estimates the state of a dynamical system from model forecasts and incoming observations. Many observation mechanisms, however, are many-to-one, implicit, non-smooth, or accessible only through simulation, and need not provide the residual structures or likelihood guidance required by existing ensemble filters.

multimodal

arXiv Machine Learning

Sep 21

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By Tiangang Cui, Xiaodong Feng, Chenlong Pei, Xiaoliang Wan, Tao Zhou

diffusion

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Invertible continuous latent dynamic for long-term data assimilation in complex physical systems

arXiv:2602.02832v4 Announce Type: replace Abstract: Forward forecasting and data assimilation are the two important aspects in physical simulation: one propagates the state forward, the other recover...

By Rares Grozavescu, Etienne Meunier, Pengyu Zhang, Mark Girolami

diffusion

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