data assimilation

Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data ICLR 2025 VAE-Var: Variational Autoencoder-Enhanced Variational Methods for Data Assimilation in Meteorology ICLR 2025 DiffDA: a Diffusion model for weather-scale Data Assimilation ICML 2024 FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation NeurIPS 2024 Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems UAI 2024 Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation. ICLR 2024 On conditional diffusion models for PDE simulations NeurIPS 2024 Score-based Data Assimilation NeurIPS 2023 The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions NeurIPS 2023 Learning to Assimilate in Chaotic Dynamical Systems NeurIPS 2021 Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction CVPR 2020 Real-Time Multi-Person Pose Tracking using Data Assimilation WACV 2020 Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights NeurIPS 2019 Optimal Orthogonal Basis and Image Assimilation: Motion Modeling ICCV 2013