Imagen de Portada

Q-Net: Queue Length Estimation via Kalman-based Neural Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Gao, Ting, Isufi, Elvin, Daamen, Winnie, Smits, Erik-Sander, Hoogendoorn, Serge
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Flow Matching Policy Optimization with Mirror Descent and Entropy Constraints
por: Gao, Ting, et al.
Publicado: (2026)

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

Sparse Covariance Neural Networks
por: Cavallo, Andrea, et al.
Publicado: (2024)

Driving pattern interpretation based on action phases clustering
por: Yao, Xue, et al.
Publicado: (2024)

Spatiotemporal Covariance Neural Networks
por: Cavallo, Andrea, et al.
Publicado: (2024)

Performance Comparison of Deep RL Algorithms for Mixed Traffic Cooperative Lane-Changing
por: Yao, Xue, et al.
Publicado: (2024)

Graph-Aware Diffusion for Signal Generation
por: Rozada, Sergio, et al.
Publicado: (2025)

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

CoVariance Filters and Neural Networks over Hilbert Spaces
por: Battiloro, Claudio, et al.
Publicado: (2025)

Average-Over-Time Spiking Neural Networks for Uncertainty Estimation in Regression
por: Sun, Tao, et al.
Publicado: (2024)

Fair CoVariance Neural Networks
por: Cavallo, Andrea, et al.
Publicado: (2024)

Stochastic Sequential Decision Making over Expanding Networks with Graph Filtering
por: Gao, Zhan, et al.
Publicado: (2026)

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

Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization
por: Zhang, Liang, et al.
Publicado: (2021)

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

Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
por: Huebotter, Justus, et al.
Publicado: (2025)

Disentangled (Un)Controllable Features
por: Kooi, Jacob E., et al.
Publicado: (2022)

Precision Neural Networks: Joint Graph And Relational Learning
por: Cavallo, Andrea, et al.
Publicado: (2025)

Studying and Improving Graph Neural Network-based Motif Estimation
por: Vieira, Pedro C., et al.
Publicado: (2025)

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

Leveraging weights signals -- Predicting and improving generalizability in reinforcement learning
por: Moulin, Olivier, et al.
Publicado: (2025)

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

MambaNet: Mamba-assisted Channel Estimation Neural Network With Attention Mechanism
por: Luan, Dianxin, et al.
Publicado: (2026)

Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL)
por: Wang, Ziheng, et al.
Publicado: (2025)

Eau De $Q$-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning
por: Vincent, Théo, et al.
Publicado: (2025)

Higher-Order Topological Directionality and Directed Simplicial Neural Networks
por: Lecha, Manuel, et al.
Publicado: (2024)

HDNet: Physics-Inspired Neural Network for Flow Estimation based on Helmholtz Decomposition
por: Qi, Miao, et al.
Publicado: (2024)

Adaptive Action Chunking via Multi-Chunk Q Value Estimation
por: Shin, Yongjae, et al.
Publicado: (2026)

KirchhoffNet: A Scalable Ultra Fast Analog Neural Network
por: Gao, Zhengqi, et al.
Publicado: (2023)

HardNet: Hard-Constrained Neural Networks with Universal Approximation Guarantees
por: Min, Youngjae, et al.
Publicado: (2024)

SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints
por: Chu, Ya-Chi, et al.
Publicado: (2026)

Kalman Bayesian Transformer
por: Jing, Haoming, et al.
Publicado: (2025)

Multi-Agent DRL for Queue-Aware Task Offloading in Hierarchical MEC-Enabled Air-Ground Networks
por: Hevesli, Muhammet, et al.
Publicado: (2025)

Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
por: Abuduweili, Abulikemu, et al.
Publicado: (2024)

Extending Causal Metamodeling to a non-Markovian Queue
por: Amaranath, Pracheta, et al.
Publicado: (2026)

HorNets: Learning from Discrete and Continuous Signals with Routing Neural Networks
por: Koloski, Boshko, et al.
Publicado: (2025)

RandomNet: Clustering Time Series Using Untrained Deep Neural Networks
por: Li, Xiaosheng, et al.
Publicado: (2024)

MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
por: Yu, Zhaoning, et al.
Publicado: (2024)

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

Unlearning-based Neural Interpretations
por: Choi, Ching Lam, et al.
Publicado: (2024)