:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Shaaban, Yahia Salaheldin, Lahlou, Salem, Sayed, Abdelrahman Sayed
Formato:	Preprint
Publicado:	2026
Materias:	Systems and Control Machine Learning
Acceso en línea:	https://arxiv.org/abs/2602.22630
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

HyperKKL: Learning KKL Observers for Non-Autonomous Nonlinear Systems via Hypernetwork-Based Input Conditioning
por: Shaaban, Yahia Salaheldin, et al.
Publicado: (2026)

Mixed Monotonicity Reachability Analysis of Neural ODE: A Trade-Off Between Tightness and Efficiency
por: Sayed, Abdelrahman Sayed, et al.
Publicado: (2025)

Risk Assessment of an Autonomous Underwater Snake Robot in Confined Operations
por: Sayed, Abdelrahman Sayed
Publicado: (2025)

SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem
por: Heakl, Ahmed, et al.
Publicado: (2025)

Verifiable Error Bounds for Physics-Informed Neural KKL Observers
por: Berin-Costain, Hannah, et al.
Publicado: (2026)

KKL Observer Synthesis for Nonlinear Systems via Physics-Informed Learning
por: Niazi, M. Umar B., et al.
Publicado: (2025)

High-Probability Convergence Guarantees of Decentralized SGD
por: Armacki, Aleksandar, et al.
Publicado: (2025)

High-Probability Convergence in Decentralized Stochastic Optimization with Gradient Tracking
por: Armacki, Aleksandar, et al.
Publicado: (2026)

Diffusion Stochastic Learning Over Adaptive Competing Networks
por: Zhao, Yike, et al.
Publicado: (2025)

Causal Influence in Federated Edge Inference
por: Kayaalp, Mert, et al.
Publicado: (2024)

Compressed Regression over Adaptive Networks
por: Carpentiero, Marco, et al.
Publicado: (2023)

Distributed Adaptive Learning Under Communication Constraints
por: Carpentiero, Marco, et al.
Publicado: (2021)

Bayes and Biased Estimators Without Hyper-parameter Estimation: Comparable Performance to the Empirical-Bayes-Based Regularized Estimator
por: Ju, Yue, et al.
Publicado: (2025)

Transformers as Implicit State Estimators: In-Context Learning in Dynamical Systems
por: Akram, Usman, et al.
Publicado: (2024)

Dynamic Line Rating using Hyper-local Weather Predictions: A Machine Learning Approach
por: Manninen, Henri, et al.
Publicado: (2024)

Metriplectic Conditional Flow Matching for Dissipative Dynamics
por: Baheri, Ali, et al.
Publicado: (2025)

Communication Enables Cooperation in LLM Agents: A Comparison with Curriculum-Based Approaches
por: Madmoun, Hachem, et al.
Publicado: (2025)

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

Intelligent Control of Differential Drive Robots Subject to Unmodeled Dynamics with EKF-based State Estimation
por: Alwala, Amos, et al.
Publicado: (2026)

CoCo-InEKF: State Estimation with Learned Contact Covariances in Dynamic, Contact-Rich Scenarios
por: Baumgartner, Michael, et al.
Publicado: (2026)

HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
por: Gornet, Jonathan, et al.
Publicado: (2025)

LUCID: Learning-Enabled Uncertainty-Aware Certification of Stochastic Dynamical Systems
por: Casablanca, Ernesto, et al.
Publicado: (2025)

DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning Setup
por: Ghosh, Anubhab, et al.
Publicado: (2023)

Physics-Informed Neural Networks for Accelerating Power System State Estimation
por: Falas, Solon, et al.
Publicado: (2023)

Autonomous vehicle decision and control through reinforcement learning with traffic flow randomization
por: Lin, Yuan, et al.
Publicado: (2024)

Learning of Linear Dynamical Systems as a Non-Commutative Polynomial Optimization Problem
por: Zhou, Quan, et al.
Publicado: (2020)

Robust Power System State Estimation using Physics-Informed Neural Networks
por: Falas, Solon, et al.
Publicado: (2025)

On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
por: Muehlebach, Michael, et al.
Publicado: (2021)

Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
por: Levy, Jacob, et al.
Publicado: (2025)

Dyna-Style Reinforcement Learning Modeling and Control of Non-linear Dynamics
por: Abdelsalam, Karim, et al.
Publicado: (2025)

A Supervised Machine-Learning Approach For Turboshaft Engine Dynamic Modeling Under Real Flight Conditions
por: Paniccia, Damiano, et al.
Publicado: (2025)

Guaranteed Trajectory Tracking under Learned Dynamics with Contraction Metrics and Disturbance Estimation
por: Zhao, Pan, et al.
Publicado: (2021)

Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
por: Achterhold, Jan, et al.
Publicado: (2021)

3D Foundation Models Enable Simultaneous Geometry and Pose Estimation of Grasped Objects
por: Zhi, Weiming, et al.
Publicado: (2024)

Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization
por: Armacki, Aleksandar, et al.
Publicado: (2026)

Autonomous Payload Thermal Control
por: Mousist, Alejandro D.
Publicado: (2023)

Sailing Towards Zero-Shot State Estimation using Foundation Models Combined with a UKF
por: Holtmann, Tobin, et al.
Publicado: (2025)

Graph Neural Networks on Factor Graphs for Robust, Fast, and Scalable Linear State Estimation with PMUs
por: Kundacina, Ognjen, et al.
Publicado: (2023)

Time-Varying Deep State Space Models for Sequences with Switching Dynamics
por: Karilanova, Sanja, et al.
Publicado: (2026)

Goal-Conditioned Terminal Value Estimation for Real-time and Multi-task Model Predictive Control
por: Morita, Mitsuki, et al.
Publicado: (2024)