:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	He, Ziqin, Hu, Mengqi, Lou, Yifei, Chen, Can
Format:	Preprint
Publié:	2025
Sujets:	Systems and Control Machine Learning
Accès en ligne:	https://arxiv.org/abs/2508.02627
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Parametric Interpolation of Dynamic Mode Decomposition for Predicting Nonlinear Systems
par: Chakrabarti, Ananda, et autres
Publié: (2026)

Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs
par: Saha, Priyabrata, et autres
Publié: (2024)

Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition
par: Kim, Yujin, et autres
Publié: (2025)

Accelerating Optimization and Machine Learning through Decentralization
par: Chen, Ziqin, et autres
Publié: (2026)

Identifying Large-Scale Linear Parameter Varying Systems with Dynamic Mode Decomposition Methods
par: Jordanou, Jean Panaioti, et autres
Publié: (2025)

Multiplicative Dynamic Mode Decomposition
par: Boullé, Nicolas, et autres
Publié: (2024)

Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems
par: Rui, Maryann, et autres
Publié: (2024)

Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators
par: Colbrook, Matthew J., et autres
Publié: (2024)

Data-Driven Tensor Decomposition Identification of Homogeneous Polynomial Dynamical Systems
par: Mao, Xin, et autres
Publié: (2026)

Inverse Design with Dynamic Mode Decomposition
par: Zhu, Yunpeng, et autres
Publié: (2025)

Tensor-Efficient High-Dimensional Q-learning
par: Wu, Junyi, et autres
Publié: (2025)

Low-Rank Tensors for Multi-Dimensional Markov Models
par: Navarro, Madeline, et autres
Publié: (2024)

Learning Mixtures of Linear Dynamical Systems via Hybrid Tensor-EM Method
par: Gong, Lulu, et autres
Publié: (2025)

Data-driven Analysis of T-Product-based Dynamical Systems
par: Mao, Xin, et autres
Publié: (2024)

Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL
par: Anahtarci, Berkay, et autres
Publié: (2024)

Efficient Sampling for Data-Driven Frequency Stability Constraint via Forward-Mode Automatic Differentiation
par: Xu, Wangkun, et autres
Publié: (2024)

Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
par: He, Zhiyu, et autres
Publié: (2025)

SPP-CNN: An Efficient Framework for Network Robustness Prediction
par: Wu, Chengpei, et autres
Publié: (2023)

Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
par: Li, Haoyu, et autres
Publié: (2025)

Structural Controllability of Large-Scale Hypergraphs
par: Pickard, Joshua, et autres
Publié: (2026)

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

Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift
par: Hu, Songqiao, et autres
Publié: (2025)

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach
par: Pan, Huazi, et autres
Publié: (2025)

Fault Detection and Identification Using a Novel Process Decomposition Algorithm for Distributed Process Monitoring
par: Villagomez, Enrique Luna, et autres
Publié: (2024)

Tensor-based homogeneous polynomial dynamical system analysis from data
par: Mao, Xin, et autres
Publié: (2025)

Model Tensor Planning
par: Le, An T., et autres
Publié: (2025)

Robust Bandwidth Estimation for Real-Time Communication with Offline Reinforcement Learning
par: Kai, Jian, et autres
Publié: (2025)

Kinematic Discriminants of Deceleration Behavior Modes in Car-Following: Evidence from NGSIM Trajectory Data
par: Laughter, Eni Solomon
Publié: (2026)

Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs
par: Zheng, Xue Xian, et autres
Publié: (2025)

Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities
par: Zhou, Hao, et autres
Publié: (2024)

Safely Learning Dynamical Systems
par: Ahmadi, Amir Ali, et autres
Publié: (2023)

Global Tensor Motion Planning
par: Le, An T., et autres
Publié: (2024)

Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space Objective
par: Remman, Sindre Benjamin, et autres
Publié: (2024)

Multi-Mode Process Control Using Multi-Task Inverse Reinforcement Learning
par: Lin, Runze, et autres
Publié: (2025)

Learning Dissipative Neural Dynamical Systems
par: Xu, Yuezhu, et autres
Publié: (2023)

Dynamic Controlled Variables Based Dynamic Self-Optimizing Control
par: Zhou, Chenchen, et autres
Publié: (2026)

Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation
par: Hu, Hanjiang, et autres
Publié: (2024)

Scaling Laws of Machine Learning for Optimal Power Flow
par: Liu, Xinyi, et autres
Publié: (2026)

On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control
par: Na, Sen, et autres
Publié: (2020)

Scalable Learning of Intrusion Responses through Recursive Decomposition
par: Hammar, Kim, et autres
Publié: (2023)