← Back to all news
arXiv Machine Learning September 24, 2026 By Haoyuan Chen, Alexandre Thi\'ery

Improving Ensemble Filters with Flow Matching

Read the original on arXiv Machine Learning →

The Flow has not summarised this story yet — read it at arXiv Machine Learning.

  • diffusion
  • benchmarks

One email a morning, machine-written

One email a day, machine-written, one click to leave. We never share your address.

Related stories

arXiv Machine Learning
Jun 19

Flow Matching for Efficient and Scalable Data Assimilation

arXiv:2508. 13313v4 Announce Type: replace-cross Abstract: Data assimilation (DA) estimates a dynamical system's state from noisy observations.

By Taos Transue, Bohan Chen, So Takao, Bao Wang
diffusionbenchmarks
More like this →
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
More like this →
Hugging Face Trending Papers
Jul 14

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
More like this →
arXiv Machine Learning
Aug 6

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Flow-matching

arXiv:2608. 05103v1 Announce Type: new Abstract: Data assimilation (DA) uses Bayesian inference to update the state of a numerical forecast model with observed data.

By Dibyajyoti Chakraborty, Romit Maulik
multimodalbenchmarks
More like this →
arXiv Machine Learning
1d ago

EnJoi: Ensemble Joint Score Filter for Generative Data Assimilation

arXiv:2609.35944v1 Announce Type: new Abstract: Data Assimilation (DA) aims to recover the full state of a dynamical system that is only partially observed. A solution is to use Score-based models to...

By Julien Moreau, Marc Lelarge
diffusion
More like this →
arXiv Machine Learning
Aug 7

Multimodal Spatiotemporal Atmospheric Data Assimilation with Latent Video Flow-matching

arXiv:2608. 05103v2 Announce Type: replace Abstract: Data assimilation (DA) uses Bayesian inference to update the state of a numerical forecast model with observed data.

By Dibyajyoti Chakraborty, Romit Maulik
multimodalbenchmarks
More like this →
About Pricing API Newsletter Sources Privacy Terms Refunds Accessibility Provider info Contact RSS

The Flow links to publishers and never republishes their articles. Summaries are machine-generated.

v1.1.0 · 5f852ea