A Lagrangian Conditional Gaussian Koopman Network for Data Assimilation and Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zhongrui, Chen, Chuanqi, Wu, Jin-Long, Chen, Nan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Domain-Decomposed Lagrangian Data Assimilation for Drifting Sea-Ice Floe Dynamics
by: Li, Danyang, et al.
Published: (2026)
by: Li, Danyang, et al.
Published: (2026)
Modeling Partially Observed Nonlinear Dynamical Systems and Efficient Data Assimilation via Discrete-Time Conditional Gaussian Koopman Network
by: Chen, Chuanqi, et al.
Published: (2025)
by: Chen, Chuanqi, et al.
Published: (2025)
Self-Organizing Score-based Data Assimilation
by: Yamaoka, Yuma, et al.
Published: (2026)
by: Yamaoka, Yuma, et al.
Published: (2026)
4DGS-CC: A Contextual Coding Framework for 4D Gaussian Splatting Data Compression
by: Chen, Zicong, et al.
Published: (2025)
by: Chen, Zicong, et al.
Published: (2025)
A Key Conditional Quotient Filter for Nonlinear, non-Gaussian and non-Markovian System
by: Zhao, Yuelin, et al.
Published: (2025)
by: Zhao, Yuelin, et al.
Published: (2025)
Learning to Trust AI and Data-driven models in Data Assimilation through a Multifidelity Ensemble Gaussian Mixture Filter Framework
by: Popov, Andrey A.
Published: (2026)
by: Popov, Andrey A.
Published: (2026)
Prob-cGAN: A Probabilistic Conditional Generative Adversarial Network for LSD1 Inhibitor Activity Prediction
by: Wang, Hanyang
Published: (2024)
by: Wang, Hanyang
Published: (2024)
A generalized essentially non-hourglass total Lagrangian SPH solid dynamics
by: Wu, Dong, et al.
Published: (2024)
by: Wu, Dong, et al.
Published: (2024)
Tokenizing Stock Prices for Enhanced Multi-Step Forecast and Prediction
by: Zhu, Zhuohang, et al.
Published: (2025)
by: Zhu, Zhuohang, et al.
Published: (2025)
A generalized non-hourglass updated Lagrangian formulation for SPH solid dynamics
by: Zhang, Shuaihao, et al.
Published: (2024)
by: Zhang, Shuaihao, et al.
Published: (2024)
DiffDA: a Diffusion Model for Weather-scale Data Assimilation
by: Huang, Langwen, et al.
Published: (2024)
by: Huang, Langwen, et al.
Published: (2024)
Higher-order Network Analysis of Human Mobility Data
by: LaRock, Timothy, et al.
Published: (2026)
by: LaRock, Timothy, et al.
Published: (2026)
An efficient truncation scheme for Eulerian and total Lagrangian SPH methods
by: Wang, Zhentong, et al.
Published: (2024)
by: Wang, Zhentong, et al.
Published: (2024)
A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
by: Gregnanin, Marco, et al.
Published: (2026)
by: Gregnanin, Marco, et al.
Published: (2026)
Fire-EnSF: Wildfire Spread Data Assimilation using Ensemble Score Filter
by: Shi, Hongzheng, et al.
Published: (2025)
by: Shi, Hongzheng, et al.
Published: (2025)
Conditional Uncertainty Quantification of Stochastic Dynamical Structures Considering Measurement Conditions
by: Wu, Feng, et al.
Published: (2024)
by: Wu, Feng, et al.
Published: (2024)
Location-Based Service (LBS) Data Quality Metrics and Effects on Mobility Inference
by: Wu, Xinhua, et al.
Published: (2024)
by: Wu, Xinhua, et al.
Published: (2024)
Comparing Different Transformer Model Structures for Stock Prediction
by: Chen, Qizhao
Published: (2025)
by: Chen, Qizhao
Published: (2025)
Leveraging NFTs for Spectrum Securitization in 6G Networks
by: Zhou, Zhixian, et al.
Published: (2024)
by: Zhou, Zhixian, et al.
Published: (2024)
Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction
by: Piao, Yinhua, et al.
Published: (2026)
by: Piao, Yinhua, et al.
Published: (2026)
Design and Optimization of Functionally-graded Triangular Lattices for Multiple Loading Conditions
by: Wang, Junpeng, et al.
Published: (2024)
by: Wang, Junpeng, et al.
Published: (2024)
PINN-MG: A physics-informed neural network for mesh generation
by: Wang, Min, et al.
Published: (2025)
by: Wang, Min, et al.
Published: (2025)
Flow of Knowledge: Federated Fine-Tuning of LLMs in Healthcare under Non-IID Conditions
by: Chen, Zeyu, et al.
Published: (2025)
by: Chen, Zeyu, et al.
Published: (2025)
Transformers Beyond Order: A Chaos-Markov-Gaussian Framework for Short-Term Sentiment Forecasting of Any Financial OHLC timeseries Data
by: Pathan, Arif
Published: (2025)
by: Pathan, Arif
Published: (2025)
Temperature Prediction for Stored Grain: A Multi-model Fusion Approach Based on Machine Learning
by: Chen, Donghao, et al.
Published: (2024)
by: Chen, Donghao, et al.
Published: (2024)
Application of an ANN and LSTM-based Ensemble Model for Stock Market Prediction
by: Liu, Fang, et al.
Published: (2024)
by: Liu, Fang, et al.
Published: (2024)
A Hybrid Neural Network Model For Predicting The Nitrate Concentration In The Recirculating Aquaculture System
by: Fan, Xiangyu, et al.
Published: (2024)
by: Fan, Xiangyu, et al.
Published: (2024)
MulFSA: Multi-level Financial Sentiment Analysis Framework for Bond Market
by: Liu, Yiwei, et al.
Published: (2025)
by: Liu, Yiwei, et al.
Published: (2025)
Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing
by: Du, Ye, et al.
Published: (2025)
by: Du, Ye, et al.
Published: (2025)
KANOP: A Data-Efficient Option Pricing Model using Kolmogorov-Arnold Networks
by: Handal, Rushikesh, et al.
Published: (2024)
by: Handal, Rushikesh, et al.
Published: (2024)
Sentiment-Aware Stock Price Prediction with Transformer and LLM-Generated Formulaic Alpha
by: Chen, Qizhao, et al.
Published: (2025)
by: Chen, Qizhao, et al.
Published: (2025)
A Total Lagrangian Finite Element Framework for Multibody Dynamics: Part II -- GPU Implementation and Numerical Experiments
by: Zhou, Zhenhao, et al.
Published: (2026)
by: Zhou, Zhenhao, et al.
Published: (2026)
Data Fusion for Full-Range Response Reconstruction via Diffusion Models
by: Feng, Wingho, et al.
Published: (2025)
by: Feng, Wingho, et al.
Published: (2025)
Heterogenous Multi-Source Data Fusion Through Input Mapping and Latent Variable Gaussian Process
by: Comlek, Yigitcan, et al.
Published: (2024)
by: Comlek, Yigitcan, et al.
Published: (2024)
Physical regularized Hierarchical Generative Model for Metallic Glass Structural Generation and Energy Prediction
by: Chen, Qiyuan, et al.
Published: (2025)
by: Chen, Qiyuan, et al.
Published: (2025)
MIGA: Mixture-of-Experts with Group Aggregation for Stock Market Prediction
by: Yu, Zhaojian, et al.
Published: (2024)
by: Yu, Zhaojian, et al.
Published: (2024)
Deep Generative Models in Condition and Structural Health Monitoring: Opportunities, Limitations and Future Outlook
by: Yang, Xin, et al.
Published: (2025)
by: Yang, Xin, et al.
Published: (2025)
Learning Explainable Stock Predictions with Tweets Using Mixture of Experts
by: Xu, Wenyan, et al.
Published: (2025)
by: Xu, Wenyan, et al.
Published: (2025)
UAV Trajectory and Bandwidth Allocation for Efficient Data Collection in Low-Altitude Intelligent IoT: A Hierarchical DRL Approach
by: Xu, Zhenjia, et al.
Published: (2026)
by: Xu, Zhenjia, et al.
Published: (2026)
Out of the Past: An AI-Enabled Pipeline for Traffic Simulation from Noisy, Multimodal Detector Data and Stakeholder Feedback
by: Chen, Rex, et al.
Published: (2025)
by: Chen, Rex, et al.
Published: (2025)
Similar Items
-
Domain-Decomposed Lagrangian Data Assimilation for Drifting Sea-Ice Floe Dynamics
by: Li, Danyang, et al.
Published: (2026) -
Modeling Partially Observed Nonlinear Dynamical Systems and Efficient Data Assimilation via Discrete-Time Conditional Gaussian Koopman Network
by: Chen, Chuanqi, et al.
Published: (2025) -
Self-Organizing Score-based Data Assimilation
by: Yamaoka, Yuma, et al.
Published: (2026) -
4DGS-CC: A Contextual Coding Framework for 4D Gaussian Splatting Data Compression
by: Chen, Zicong, et al.
Published: (2025) -
A Key Conditional Quotient Filter for Nonlinear, non-Gaussian and non-Markovian System
by: Zhao, Yuelin, et al.
Published: (2025)