Cover Image

Convolutional Bayesian Filtering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Wenhan, Liu, Shiqi, Liu, Chang, He, Zeyu, Yau, Stephen S. -T., Li, Shengbo Eben
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Nonlinear Bayesian Filtering with Natural Gradient Gaussian Approximation
by: Cao, Wenhan, et al.
Published: (2024)

One Filters All: A Generalist Filter for State Estimation
by: Liu, Shiqi, et al.
Published: (2025)

Natural Gradient Gaussian Approximation Filter with Positive Definiteness Guarantee
by: Zhang, Tianyi, et al.
Published: (2026)

Algorithm Design and Comparative Test of Natural Gradient Gaussian Approximation Filter
by: Cao, Wenhan, et al.
Published: (2025)

Design and Experimental Test of Datatic Approximate Optimal Filter in Nonlinear Dynamic Systems
by: He, Weixian, et al.
Published: (2025)

Natural Gradient Bayesian Filtering: Geometry-Aware Filter for Dynamical Systems
by: Liu, Chang, et al.
Published: (2026)

On the Equilibrium between Feasible Zone and Uncertain Model in Safe Exploration
by: Yang, Yujie, et al.
Published: (2026)

Distributional Soft Actor-Critic with Three Refinements
by: Duan, Jingliang, et al.
Published: (2023)

Feasible Policy Iteration for Safe Reinforcement Learning
by: Yang, Yujie, et al.
Published: (2023)

Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
by: Cao, Wenhan, et al.
Published: (2024)

Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers
by: Liu, Shiqi, et al.
Published: (2024)

Predictive Lagrangian Optimization for Constrained Reinforcement Learning
by: Zhang, Tianqi, et al.
Published: (2025)

Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization
by: Wang, Shengbo, et al.
Published: (2025)

Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems
by: Lei, Yuheng, et al.
Published: (2022)

When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter
by: Li, Yansong, et al.
Published: (2024)

On the Foundation of Distributionally Robust Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2023)

On the Stability of Datatic Control Systems
by: Yang, Yujie, et al.
Published: (2024)

OPBO: Order-Preserving Bayesian Optimization
by: Peng, Wei, et al.
Published: (2025)

Differentiable Filtering for Learning Hidden Markov Models
by: Chen, Reginald Zhiyan, et al.
Published: (2025)

Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs
by: Zheng, Xue Xian, et al.
Published: (2025)

Dual Filter: A Transformer-like Inference Architecture for Hidden Markov Models
by: Chang, Heng-Sheng, et al.
Published: (2025)

Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network
by: Liu, Xu, et al.
Published: (2022)

Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis
by: Yang, Yujie, et al.
Published: (2024)

The Feasibility Theory of Constrained Reinforcement Learning: A Tutorial Study
by: Yang, Yujie, et al.
Published: (2024)

Attentive Convolutional Deep Reinforcement Learning for Optimizing Solar-Storage Systems in Real-Time Electricity Markets
by: Li, Jinhao, et al.
Published: (2024)

Canonical Form of Datatic Description in Control Systems
by: Zhan, Guojian, et al.
Published: (2024)

Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter
by: Xiong, Xi, et al.
Published: (2019)

Bayesian dynamic scheduling of multipurpose batch processes under incomplete look-ahead information
by: Zheng, Taicheng, et al.
Published: (2025)

T2S-MPC: Time-Embedded Online Adaptive Model Predictive Control for Time-Varying Dynamics
by: Shen, Zeyu, et al.
Published: (2026)

Controllability Test for Nonlinear Datatic Systems
by: Yang, Yujie, et al.
Published: (2024)

Physics-informed Convolutional Neural Network for Microgrid Economic Dispatch
by: Ge, Xiaoyu, et al.
Published: (2024)

Efficient Reachability Analysis for Convolutional Neural Networks Using Hybrid Zonotopes
by: Zhang, Yuhao, et al.
Published: (2025)

Outlier-robust Kalman Filtering through Generalised Bayes
by: Duran-Martin, Gerardo, et al.
Published: (2024)

Online Learning of Kalman Filtering: From Output to State Estimation
by: Ye, Lintao, et al.
Published: (2026)

Tempering the Bayes Filter towards Improved Model-Based Estimation
by: van Zutphen, Menno, et al.
Published: (2025)

Improved Monte Carlo Planning via Causal Disentanglement for Structurally-Decomposed Markov Decision Processes
by: Liu, Larkin, et al.
Published: (2024)

Assumed Density Filtering and Smoothing with Neural Network Surrogate Models
by: Kuang, Simon, et al.
Published: (2025)

Performance-bounded Online Ensemble Learning Method Based on Multi-armed bandits and Its Applications in Real-time Safety Assessment
by: Hu, Songqiao, et al.
Published: (2025)

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift
by: Hu, Songqiao, et al.
Published: (2025)