Copertina

Can a Transformer Represent a Kalman Filter?

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Goel, Gautam, Bartlett, Peter
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Training Dynamics of Softmax Self-Attention: Fast Global Convergence via Preconditioning
di: Goel, Gautam, et al.
Pubblicazione: (2026)

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

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

Computation-Aware Kalman Filtering and Smoothing
di: Pförtner, Marvin, et al.
Pubblicazione: (2024)

AI-Aided Kalman Filters
di: Shlezinger, Nir, et al.
Pubblicazione: (2024)

The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions
di: Schmidt, Jonathan, et al.
Pubblicazione: (2023)

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

Kalman Filter Aided Federated Koopman Learning
di: Chen, Yutao, et al.
Pubblicazione: (2025)

Kalman Bayesian Transformer
di: Jing, Haoming, et al.
Pubblicazione: (2025)

In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
di: Zhang, Ruiqi, et al.
Pubblicazione: (2024)

Inverse Unscented Kalman Filter
di: Singh, Himali, et al.
Pubblicazione: (2023)

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

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

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

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

Neural Aided Kalman Filtering for UAV State Estimation in Degraded Sensing Environments
di: Gupta, Akhil, et al.
Pubblicazione: (2026)

Kalman Filter Enhanced GRPO for Reinforcement Learning-Based Language Model Reasoning
di: Wang, Hu, et al.
Pubblicazione: (2025)

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

A result relating convex n-widths to covering numbers with some applications to neural networks
di: Baxter, Jonathan, et al.
Pubblicazione: (2025)

Pose Tracking with a Foundation Pose Model and an Ensemble Directional Kalman Filter
di: Lu, Tianlu, et al.
Pubblicazione: (2026)

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

[Re] The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Non-Gaussian Observation Models
di: Casco-Rodriguez, Josue, et al.
Pubblicazione: (2024)

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

Can Transformers Learn Optimal Filtering for Unknown Systems?
di: Balim, Haldun, et al.
Pubblicazione: (2023)

OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering
di: Schperberg, Alexander, et al.
Pubblicazione: (2024)

Machine Learning and Kalman Filtering for Nanomechanical Mass Spectrometry
di: Erdogan, Mete, et al.
Pubblicazione: (2023)

Kalman Linear Attention: Parallel Bayesian Filtering For Efficient Language Modelling and State Tracking
di: Shaj, Vaisakh, et al.
Pubblicazione: (2026)

GKNet: Graph Kalman Filtering and Model Inference via Model-based Deep Learning
di: Sabbaqi, Mohammad, et al.
Pubblicazione: (2025)

Latent Autoencoder Ensemble Kalman Filter for Nonlinear Data assimilation
di: Tong, Xin T., et al.
Pubblicazione: (2026)

Transformers Can Represent $n$-gram Language Models
di: Svete, Anej, et al.
Pubblicazione: (2024)

Can Active Label Correction Improve LLM-based Modular AI Systems?
di: Taneja, Karan, et al.
Pubblicazione: (2024)

Reinforcement Learning in POMDP's via Direct Gradient Ascent
di: Baxter, Jonathan, et al.
Pubblicazione: (2025)

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

Represented Is Not Computed: A Causal Test of Candidate Algorithmic Intermediates in a Transformer
di: Darade, Ishita, et al.
Pubblicazione: (2026)

DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
di: Zhang, Xinwei, et al.
Pubblicazione: (2024)

Pathspace Kalman Filters with Dynamic Process Uncertainty for Analyzing Time-course Data
di: Agrahar, Chaitra, et al.
Pubblicazione: (2024)

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

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

A Novel Neural Filter to Improve Accuracy of Neural Network Models of Dynamic Systems
di: Oveissi, Parham, et al.
Pubblicazione: (2024)

A Kalman Filter Based Framework for Monitoring the Performance of In-Hospital Mortality Prediction Models Over Time
di: Liu, Jiacheng, et al.
Pubblicazione: (2024)