:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Ziyi, Jiang, Lijian
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2511.02286
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Model free data assimilation with Takens embedding
by: Wang, Ziyi, et al.
Published: (2024)

Online model learning with data-assimilated reservoir computers
by: Nóvoa, Andrea, et al.
Published: (2025)

State-observation augmented diffusion model for nonlinear assimilation with unknown dynamics
by: Li, Zhuoyuan, et al.
Published: (2024)

Auto-differentiable data assimilation: Co-learning of states, dynamics, and filtering algorithms
by: Adrian, Melissa, et al.
Published: (2026)

Data-assimilated model-informed reinforcement learning
by: Ozan, Defne E., et al.
Published: (2025)

Mixture models for data with unknown distributions
by: Newman, M. E. J.
Published: (2025)

Latent assimilation with implicit neural representations for unknown dynamics
by: Li, Zhuoyuan, et al.
Published: (2023)

Hybrid machine learning data assimilation for marine biogeochemistry
by: Higgs, Ieuan, et al.
Published: (2025)

Ensemble Transport Filter via Optimized Maximum Mean Discrepancy
by: Zeng, Dengfei, et al.
Published: (2024)

Proxy-informed Bayesian transfer learning with unknown sources
by: Sloman, Sabina J., et al.
Published: (2024)

Estimating unknown parameters in differential equations with a reinforcement learning based PSO method
by: Sun, Wenkui, et al.
Published: (2024)

Closed-form conditional diffusion models for data assimilation
by: Binder, Brianna, et al.
Published: (2026)

Machine learning enhanced data assimilation framework for multiscale carbonate rock characterization
by: Bo, Zhenkai, et al.
Published: (2026)

Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models
by: Jamaat, Amirmoez, et al.
Published: (2025)

Optimal cross-learning for contextual bandits with unknown context distributions
by: Schneider, Jon, et al.
Published: (2024)

Neural Koopman prior for data assimilation
by: Frion, Anthony, et al.
Published: (2023)

Integrating remote sensing data assimilation, deep learning and large language model for interactive wheat breeding yield prediction
by: Yang, Guofeng, et al.
Published: (2025)

Mitigating loss of variance in ensemble data assimilation: machine learning-based and distance-free localization
by: Silva, Vinicius L. S., et al.
Published: (2025)

Suppressing unknown disturbances to dynamical systems using machine learning
by: Restrepo, Juan G., et al.
Published: (2023)

Uncertainty-aware data assimilation through variational inference
by: Frion, Anthony, et al.
Published: (2025)

Latent diffusion models for parameterization and data assimilation of facies-based geomodels
by: Di Federico, Guido, et al.
Published: (2024)

TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions
by: Cheng, Sibo, et al.
Published: (2024)

Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control
by: Shi, Shengling, et al.
Published: (2023)

Ensemble data assimilation to diagnose AI-based weather prediction model: A case with ClimaX version 0.3.1
by: Kotsuki, Shunji, et al.
Published: (2024)

Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning
by: Champion, Théophile, et al.
Published: (2024)

Benchmarking AI-based data assimilation to advance data-driven global weather forecasting
by: Wang, Wuxin, et al.
Published: (2024)

Robust experimental data assimilation for the Spalart-Allmaras turbulence model
by: Aulakh, Deepinder Jot Singh, et al.
Published: (2023)

Achieve Performatively Optimal Policy for Performative Reinforcement Learning
by: Chen, Ziyi, et al.
Published: (2025)

Huracan: A skillful end-to-end data-driven system for ensemble data assimilation and weather prediction
by: Ni, Zekun, et al.
Published: (2025)

Periodic agent-state based Q-learning for POMDPs
by: Sinha, Amit, et al.
Published: (2024)

Reinforcement learning-based architecture search for quantum machine learning
by: Rapp, Frederic, et al.
Published: (2024)

A competitive baseline for deep learning enhanced data assimilation using conditional Gaussian ensemble Kalman filtering
by: Malik, Zachariah, et al.
Published: (2024)

Global atmospheric data assimilation with multi-modal masked autoencoders
by: Vandal, Thomas J., et al.
Published: (2024)

Generative assimilation and prediction for weather and climate
by: Yang, Shangshang, et al.
Published: (2025)

Causal prompting model-based offline reinforcement learning
by: Yu, Xuehui, et al.
Published: (2024)

Data-driven simulator of multi-animal behavior with unknown dynamics via offline and online reinforcement learning
by: Fujii, Keisuke, et al.
Published: (2025)

Convergence of regularized agent-state-based Q-learning in POMDPs
by: Sinha, Amit, et al.
Published: (2025)

Policy design in experiments with unknown interference
by: Viviano, Davide, et al.
Published: (2020)

Data assimilation and discrepancy modeling with shallow recurrent decoders
by: Bao, Yuxuan, et al.
Published: (2025)

Black-box optimization of noisy functions with unknown smoothness
by: Grill, Jean-Bastien, et al.
Published: (2026)