Copertina

Structural Controllability of Large-Scale Hypergraphs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pickard, Joshua, Mao, Xin, Chen, Can
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Optimization and Control Machine Learning Social and Information Networks Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Belief Samples Are All You Need For Social Learning
di: JafariNodeh, Mahyar, et al.
Pubblicazione: (2024)

Transmission Neural Networks: Approximation and Optimal Control
di: Gao, Shuang, et al.
Pubblicazione: (2025)

Controllability and Observability of Temporal Hypergraphs
di: Dong, Anqi, et al.
Pubblicazione: (2024)

Incentive Design for Eco-driving in Urban Transportation Networks
di: Niazi, M. Umar B., et al.
Pubblicazione: (2023)

How Clustering Affects the Convergence of Decentralized Optimization over Networks: A Monte-Carlo-based Approach
di: Doostmohammadian, Mohammadreza, et al.
Pubblicazione: (2024)

Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design
di: Kühne, Marino, et al.
Pubblicazione: (2025)

Congestion Reduction in EV Charger Placement Using Traffic Equilibrium Models
di: Kara, Semih, et al.
Pubblicazione: (2025)

On Balancing Sparsity with Reliable Connectivity in Distributed Network Design with Random K-out Graphs
di: Sood, Mansi, et al.
Pubblicazione: (2025)

Matrix Factorization Framework for Community Detection under the Degree-Corrected Block Model
di: Dache, Alexandra, et al.
Pubblicazione: (2026)

Estimating True Beliefs in Opinion Dynamics with Social Pressure
di: Tang, Jennifer, et al.
Pubblicazione: (2023)

Stochastic Opinion Dynamics under Social Pressure in Arbitrary Networks
di: Tang, Jennifer, et al.
Pubblicazione: (2023)

Causal-Informed Hybrid Online Adaptive Optimization for Ad Load Personalization in Large-Scale Social Networks
di: Mishra, Aakash, et al.
Pubblicazione: (2026)

Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces
di: Duan, Yaqi, et al.
Pubblicazione: (2024)

Learning Optimal Control and Dynamical Structure of Global Trajectory Search Problems with Diffusion Models
di: Graebner, Jannik, et al.
Pubblicazione: (2024)

Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL
di: Anahtarci, Berkay, et al.
Pubblicazione: (2024)

Distributed Target Tracking based on Localization with Linear Time-Difference-of-Arrival Measurements: A Delay-Tolerant Networked Estimation Approach
di: Doostmohammadian, Mohammadreza, et al.
Pubblicazione: (2024)

Expressivity of Quadratic Neural ODEs
di: Hanson, Joshua, et al.
Pubblicazione: (2025)

Rademacher Complexity of Neural ODEs via Chen-Fliess Series
di: Hanson, Joshua, et al.
Pubblicazione: (2024)

Impact of Clustering on the Observability and Controllability of Complex Networks
di: Doostmohammadian, Mohammadreza, et al.
Pubblicazione: (2026)

A Survey on Optimization Studies of Group Centrality Metrics
di: Camur, Mustafa Can, et al.
Pubblicazione: (2024)

Data-Driven Adversarial Online Control for Unknown Linear Systems
di: Liu, Zishun, et al.
Pubblicazione: (2023)

CLuP practically achieves $\sim 1.77$ positive and $\sim 0.33$ negative Hopfield model ground state free energy
di: Stojnic, Mihailo
Pubblicazione: (2025)

A CLuP algorithm to practically achieve $\sim 0.76$ SK--model ground state free energy
di: Stojnic, Mihailo
Pubblicazione: (2025)

Delay-Tolerant Augmented-Consensus-based Distributed Directed Optimization
di: Doostmohammadian, Mohammadreza, et al.
Pubblicazione: (2025)

Classification-Based Opinion Formation Model Embedding Agents' Psychological Traits
di: Devia, Carlos Andres, et al.
Pubblicazione: (2022)

Dynamic Topic Analysis in Academic Journals using Convex Non-negative Matrix Factorization Method
di: Yang, Yang, et al.
Pubblicazione: (2025)

Dynamic Controlled Variables Based Dynamic Self-Optimizing Control
di: Zhou, Chenchen, et al.
Pubblicazione: (2026)

Modeling and Control of Deep Sign-Definite Dynamics with Application to Hybrid Powertrain Control
di: Kato, Teruki, et al.
Pubblicazione: (2025)

Cost-Aware Distributed Online Learning with Strict Rejection Behavior against Adversarial Agents
di: Suo, Yuhan, et al.
Pubblicazione: (2024)

Design of A* based heuristic algorithm for efficient interdiction in multi-Layer networks
di: Samanta, Sukanya
Pubblicazione: (2025)

Dual Control of Linear Systems from Bilinear Observations with Belief Space Model Predictive Control
di: Cao, Daniel, et al.
Pubblicazione: (2026)

Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers
di: Ajeyemi, Damola, et al.
Pubblicazione: (2025)

A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
di: Wang, Lei, et al.
Pubblicazione: (2022)

Online Learning for Supervisory Switching Control
di: Sun, Haoyuan, et al.
Pubblicazione: (2026)

Differentiable Model Predictive Control on the GPU
di: Adabag, Emre, et al.
Pubblicazione: (2025)

Safe Online Control-Informed Learning
di: Zhou, Tianyu, et al.
Pubblicazione: (2025)

Adversarially Robust Multitask Adaptive Control
di: Fallah, Kasra, et al.
Pubblicazione: (2025)

Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control
di: Kato, Teruki, et al.
Pubblicazione: (2026)

Random Features Approximation for Control-Affine Systems
di: Kazemian, Kimia, et al.
Pubblicazione: (2024)

From Optimization to Control: Quasi Policy Iteration
di: Kolarijani, Mohammad Amin Sharifi, et al.
Pubblicazione: (2023)