Cover Image

[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Casco-Rodriguez, Josue, Kemere, Caleb, Baraniuk, Richard G.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Robotics Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unscented Kalman Filter with a Nonlinear Propagation Model for Navigation Applications
by: Levy, Amit, et al.
Published: (2025)

Adaptive Neural Unscented Kalman Filter
by: Levy, Amit, et al.
Published: (2025)

Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
by: Lin, Zhidi, et al.
Published: (2023)

Mitigating Overconfidence in Nonlinear Kalman Filters via Covariance Recalibration
by: Jiang, Shida, et al.
Published: (2024)

Design Guidelines for Nonlinear Kalman Filters via Covariance Compensation
by: Jiang, Shida, et al.
Published: (2026)

Topological Kalman Filtering on Cell Complexes
by: Liu, Chengen, et al.
Published: (2026)

A Residual Variance Matching Recursive Least Squares Filter for Real-time UAV Terrain Following
by: Wu, Xiaobo, et al.
Published: (2025)

Outlier-Insensitive Kalman Filtering: Theory and Applications
by: Truzman, Shunit, et al.
Published: (2023)

Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems
by: Li, Kan, et al.
Published: (2024)

AI-Aided Kalman Filters
by: Shlezinger, Nir, et al.
Published: (2024)

Differentiable Adaptive Kalman Filtering via Optimal Transport
by: He, Yangguang, et al.
Published: (2025)

A Model Fusion Distributed Kalman Filter For Non-Gaussian Observation Noise
by: Mao, Xuemei, et al.
Published: (2023)

Recursive KalmanNet: Deep Learning-Augmented Kalman Filtering for State Estimation with Consistent Uncertainty Quantification
by: Mortada, Hassan, et al.
Published: (2025)

Quadratic Kalman Filter for Elliptical Extended Object Tracking based on Decoupling State Components
by: Steuernagel, Simon, et al.
Published: (2025)

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

Kalman Filtering for Precise Indoor Position and Orientation Estimation Using IMU and Acoustics on Riemannian Manifolds
by: AlSharif, Mohammed H., et al.
Published: (2024)

Inverse Unscented Kalman Filter
by: Singh, Himali, et al.
Published: (2023)

Neural Aided Adaptive Innovation-Based Invariant Kalman Filter
by: Diker, Barak, et al.
Published: (2026)

TrackDiffuser: Nearly Model-Free Bayesian Filtering with Diffusion Model
by: He, Yangguang, et al.
Published: (2025)

Learned Memory Attenuation in Sage-Husa Kalman Filters for Robust UAV State Estimation
by: Majewski, Kenan, et al.
Published: (2026)

Robust Unscented Kalman Filtering via Recurrent Meta-Adaptation of Sigma-Point Weights
by: Majewski, Kenan, et al.
Published: (2026)

Model-free Online Learning for the Kalman Filter: Forgetting Factor and Logarithmic Regret
by: Qian, Jiachen, et al.
Published: (2025)

Slow Convergence of Interacting Kalman Filters in Word-of-Mouth Social Learning
by: Krishnamurthy, Vikram, et al.
Published: (2024)

Neural Augmented Kalman Filters for Road Network assisted GNSS positioning
by: van Gorp, Hans, et al.
Published: (2025)

FusionCore: A 23-State Unscented Kalman Filter for IMU, Wheel Encoder, GPS, and Visual SLAM Fusion in ROS 2
by: Kharwar, Manan
Published: (2026)

Robust Automatic Differentiation of Square-Root Kalman Filters via Gramian Differentials
by: Corenflos, Adrien
Published: (2026)

MSCEKF-MIO: Magnetic-Inertial Odometry Based on Multi-State Constraint Extended Kalman Filter
by: Li, Jiazhu, et al.
Published: (2025)

Autonomous Robotic Radio Source Localization via a Novel Gaussian Mixture Filtering Approach
by: Kim, Sukkeun, et al.
Published: (2025)

Classification Filtering
by: Bayram, Ilker
Published: (2025)

Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
by: Bhirangi, Raunaq, et al.
Published: (2024)

W4S4: WaLRUS Meets S4 for Long-Range Sequence Modeling
by: Babaei, Hossein, et al.
Published: (2025)

Convolutional Filtering with RKHS Algebras
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)

Asymptotic Expansion for Nonlinear Filtering in the Small System Noise Regime
by: Kurisaki, Masahiro
Published: (2025)

Distributed Bayesian Estimation in Sensor Networks: Consensus on Marginal Densities
by: Paritosh, Parth, et al.
Published: (2023)

A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising
by: Dumitru, Mircea, et al.
Published: (2023)

Convergence of Manifold Filter-Combine Networks
by: Johnson, David R., et al.
Published: (2024)

Bayesian KalmanNet: Quantifying Uncertainty in Deep Learning Augmented Kalman Filter
by: Dahan, Yehonatan, et al.
Published: (2023)

SaFARi: State-Space Models for Frame-Agnostic Representation
by: Babaei, Hossein, et al.
Published: (2025)

Online Graph Filtering Over Expanding Graphs
by: Das, Bishwadeep, et al.
Published: (2024)

Normalizing Flow-based Differentiable Particle Filters
by: Chen, Xiongjie, et al.
Published: (2024)