Imagen de Portada

An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhou, Hongxun, Chen, Xiangyu, Yuan, Ye
Formato:	Preprint
Publicado:	2024
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

VKFPos: A Learning-Based Monocular Positioning with Variational Bayesian Extended Kalman Filter Integration
por: Chen, Jian-Yu, et al.
Publicado: (2025)

FW-NKF: Frequency-Weighted Neural Kalman Filters
por: Dogan, Adnan Harun, et al.
Publicado: (2026)

Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics
por: Huml, JR, et al.
Publicado: (2026)

FILT3R: Latent State Adaptive Kalman Filter for Streaming 3D Reconstruction
por: Jin, Seonghyun, et al.
Publicado: (2026)

LatentTrack: Sequential Weight Generation via Latent Filtering
por: Haq, Omer
Publicado: (2026)

Legged Robot State Estimation With Invariant Extended Kalman Filter Using Neural Measurement Network
por: Youm, Donghoon, et al.
Publicado: (2024)

Empowering GraphRAG with Knowledge Filtering and Integration
por: Guo, Kai, et al.
Publicado: (2025)

Federated Data-Driven Kalman Filtering for State Estimation
por: Piperigkos, Nikos, et al.
Publicado: (2024)

Refining Filter Global Feature Weighting for Fully-Unsupervised Clustering
por: Galis, Fabian, et al.
Publicado: (2025)

Domain-Filtered Knowledge Graphs from Sparse Autoencoder Features
por: Winnicki, John, et al.
Publicado: (2026)

Kalman Filter for Online Classification of Non-Stationary Data
por: Titsias, Michalis K., et al.
Publicado: (2023)

Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
por: Wang, Ling, et al.
Publicado: (2024)

Bayesian Natural Gradient Fine-Tuning of CLIP Models via Kalman Filtering
por: Abdi, Hossein, et al.
Publicado: (2025)

Unrolling Dynamic Programming via Graph Filters
por: Rozada, Sergio, et al.
Publicado: (2025)

Online Causal Kalman Filtering for Stable and Effective Policy Optimization
por: He, Shuo, et al.
Publicado: (2026)

AdaResNet: Enhancing Residual Networks with Dynamic Weight Adjustment for Improved Feature Integration
por: Su, Hong
Publicado: (2024)

Condensation-Concatenation Framework for Dynamic Graph Continual Learning
por: Yan, Tingxu, et al.
Publicado: (2025)

The Kalman Evolve: Closing the Gap in Kalman Filtering via Interpretable Algorithm Discovery
por: Saketos, Vasileios, et al.
Publicado: (2026)

3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter
por: Wang, Xiaoxiang, et al.
Publicado: (2024)

Precision Tracked Transformer via Kalman Filtering, Kriging and Process Noise
por: Long, Bo, et al.
Publicado: (2026)

ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification
por: Naseriparsa, Mehdi, et al.
Publicado: (2025)

M-DEW: Extending Dynamic Ensemble Weighting to Handle Missing Values
por: Catto, Adam, et al.
Publicado: (2024)

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
por: Fu, Xingbo, et al.
Publicado: (2025)

iPINNER: An Iterative Physics-Informed Neural Network with Ensemble Kalman Filter
por: Lu, Binghang, et al.
Publicado: (2025)

Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business Problems
por: Li, Ye
Publicado: (2024)

Multi-order Graph Clustering with Adaptive Node-level Weight Learning
por: Liu, Ye, et al.
Publicado: (2024)

Graph-based Diffusion Model for Collaborative Filtering
por: Zhang, Xuan, et al.
Publicado: (2025)

Enhancing Large Language Models (LLMs) for Telecom using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented Generation
por: Yuan, Dun, et al.
Publicado: (2026)

Context Distillation as Latent Memory Management
por: Zheng, Ziyang, et al.
Publicado: (2026)

K-Score: Kalman Filter as a Principled Alternative to Reward Normalization in Reinforcement Learning
por: Xia, Zixuan, et al.
Publicado: (2026)

Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation
por: Lee, Seokju, et al.
Publicado: (2026)

Scalable Random Feature Latent Variable Models
por: Li, Ying, et al.
Publicado: (2024)

Integrating Large Language Model for Improved Causal Discovery
por: Ban, Taiyu, et al.
Publicado: (2023)

Latent-Hysteresis Graph ODEs: Modeling Coupled Topology-Feature Evolution via Continuous Phase Transitions
por: Hou, Qinhan, et al.
Publicado: (2026)

Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson's Disease Screening in OCT
por: Zhang, Xiaoqing, et al.
Publicado: (2025)

CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem
por: Chen, Qian, et al.
Publicado: (2023)

Feature Subset Weighting for Distance-based Supervised Learning through Choquet Integration
por: Theerens, Adnan, et al.
Publicado: (2025)

Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model
por: Tian, Yuxing, et al.
Publicado: (2024)

Bridging Expectation Signals: LLM-Based Experiments and a Behavioral Kalman Filter Framework
por: Wang, Yu, et al.
Publicado: (2026)

Theoretical limitations of multi-layer Transformer
por: Chen, Lijie, et al.
Publicado: (2024)