Research map / Probabilistic and scientific modeling / Dynamical systems
Score-based Data Assimilation
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| increase Markov-blanket window size k and number of Langevin corrections C (ablation) | SDA score network · Lorenz 1963 posterior vs bootstrap particle filter | posterior accuracy (log-prior, log-likelihood, Wasserstein) | Helped |
| reduce number of LMC corrections (ablation) | SDA · Lorenz 1963 | inference speed vs physical consistency | Mixed |
| replace DPS likelihood score approximation with the proposed covariance-aware approximation (ablation) | SDA · Kolmogorov flow | consistency with observation | Helped |
Closest papers by meaning
- FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation (NeurIPS 2025 · similarity 0.89)
- Deep Bayesian Filter for Bayes-Faithful Data Assimilation (ICML 2025 · similarity 0.87)
- Partially Observed Trajectory Inference using Optimal Transport and a Dynamics Prior (ICLR 2025 · similarity 0.86)
- ABC: Any-Subset Autoregression via Non-Markovian Diffusion Bridges in Continuous Time and Space (NeurIPS 2026 · similarity 0.86)
- Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme (NeurIPS 2025 · similarity 0.86)
- Gated Inference Network: Inference and Learning State-Space Models (NeurIPS 2024 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.