Saved in:
| Main Authors: | Zimmering, Bernd, Coelho, Cecília, Gupta, Vaibhav, Maleshkova, Maria, Niggemann, Oliver |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.13158 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluating Imputation Techniques for Short-Term Gaps in Heart Rate Data
by: Gupta, Vaibhav, et al.
Published: (2025)
by: Gupta, Vaibhav, et al.
Published: (2025)
Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
by: Janzen, Felix Leonhard, et al.
Published: (2026)
by: Janzen, Felix Leonhard, et al.
Published: (2026)
Late Breaking Results: Conversion of Neural Networks into Logic Flows for Edge Computing
by: Stein, Daniel, et al.
Published: (2026)
by: Stein, Daniel, et al.
Published: (2026)
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
by: Frauenknecht, Bernd, et al.
Published: (2026)
by: Frauenknecht, Bernd, et al.
Published: (2026)
Controller Design for Structured State-space Models via Contraction Theory
by: Zakwan, Muhammad, et al.
Published: (2026)
by: Zakwan, Muhammad, et al.
Published: (2026)
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
by: Kamboj, Ankur, et al.
Published: (2026)
by: Kamboj, Ankur, et al.
Published: (2026)
Sample-Free Safety Assessment of Neural Network Controllers via Taylor Methods
by: Evans, Adam, et al.
Published: (2026)
by: Evans, Adam, et al.
Published: (2026)
Forward Invariance in Neural Network Controlled Systems
by: Harapanahalli, Akash, et al.
Published: (2023)
by: Harapanahalli, Akash, et al.
Published: (2023)
Physics-Informed Neural Networks for Accelerating Power System State Estimation
by: Falas, Solon, et al.
Published: (2023)
by: Falas, Solon, et al.
Published: (2023)
Robust Power System State Estimation using Physics-Informed Neural Networks
by: Falas, Solon, et al.
Published: (2025)
by: Falas, Solon, et al.
Published: (2025)
Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
by: Cao, John, et al.
Published: (2025)
by: Cao, John, et al.
Published: (2025)
Provably-Stable Neural Network-Based Control of Nonlinear Systems
by: Li, Anran, et al.
Published: (2025)
by: Li, Anran, et al.
Published: (2025)
Model-Free Learning for the Linear Quadratic Regulator over Rate-Limited Channels
by: Ye, Lintao, et al.
Published: (2024)
by: Ye, Lintao, et al.
Published: (2024)
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
by: Authier, Jules, et al.
Published: (2023)
by: Authier, Jules, et al.
Published: (2023)
Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction
by: Cho, Namhoon, et al.
Published: (2022)
by: Cho, Namhoon, et al.
Published: (2022)
A Transition System Abstraction Framework for Neural Network Dynamical System Models
by: Yang, Yejiang, et al.
Published: (2024)
by: Yang, Yejiang, et al.
Published: (2024)
Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems
by: Lan, Jianglin, et al.
Published: (2024)
by: Lan, Jianglin, et al.
Published: (2024)
Contraction-Guided Adaptive Partitioning for Reachability Analysis of Neural Network Controlled Systems
by: Harapanahalli, Akash, et al.
Published: (2023)
by: Harapanahalli, Akash, et al.
Published: (2023)
BasisN: Reprogramming-Free RRAM-Based In-Memory-Computing by Basis Combination for Deep Neural Networks
by: Eldebiky, Amro, et al.
Published: (2024)
by: Eldebiky, Amro, et al.
Published: (2024)
Beyond Prediction: Interval Neural Networks for Uncertainty-Aware System Identification
by: Ferah, Mehmet Ali, et al.
Published: (2026)
by: Ferah, Mehmet Ali, et al.
Published: (2026)
Improving Spatial Allocation for Energy System Coupling with Graph Neural Networks
by: Mu, Xuanhao, et al.
Published: (2026)
by: Mu, Xuanhao, et al.
Published: (2026)
Learning Subsystem Dynamics in Nonlinear Systems via Port-Hamiltonian Neural Networks
by: van Otterdijk, G. J. E., et al.
Published: (2024)
by: van Otterdijk, G. J. E., et al.
Published: (2024)
Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers
by: Ajeyemi, Damola, et al.
Published: (2025)
by: Ajeyemi, Damola, et al.
Published: (2025)
Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks
by: Wei, Lai, et al.
Published: (2021)
by: Wei, Lai, et al.
Published: (2021)
Learning Dissipative Neural Dynamical Systems
by: Xu, Yuezhu, et al.
Published: (2023)
by: Xu, Yuezhu, et al.
Published: (2023)
Graph Neural Network-Based Distributed Optimal Control for Linear Networked Systems: An Online Distributed Training Approach
by: Song, Zihao, et al.
Published: (2025)
by: Song, Zihao, et al.
Published: (2025)
Safe and Robust Domains of Attraction for Discrete-Time Systems: A Set-Based Characterization and Certifiable Neural Network Estimation
by: Serry, Mohamed, et al.
Published: (2026)
by: Serry, Mohamed, et al.
Published: (2026)
Learning Wireless Interference Patterns: Decoupled GNN for Throughput Prediction in Heterogeneous Multi-Hop p-CSMA Networks
by: Tarzjani, Faezeh Dehghan, et al.
Published: (2025)
by: Tarzjani, Faezeh Dehghan, et al.
Published: (2025)
Modeling Electromagnetic Navigation Systems for Medical Applications using Random Forests and Artificial Neural Networks
by: Yu, Ruoxi, et al.
Published: (2019)
by: Yu, Ruoxi, et al.
Published: (2019)
PowerFlowMultiNet: Multigraph Neural Networks for Unbalanced Three-Phase Distribution Systems
by: Ghamizi, Salah, et al.
Published: (2024)
by: Ghamizi, Salah, et al.
Published: (2024)
Analytical Verification of Performance of Deep Neural Network Based Time-Synchronized Distribution System State Estimation
by: Azimian, Behrouz, et al.
Published: (2023)
by: Azimian, Behrouz, et al.
Published: (2023)
Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
by: Bhan, Luke, et al.
Published: (2024)
by: Bhan, Luke, et al.
Published: (2024)
A Proposed Paradigm for Imputing Missing Multi-Sensor Data in the Healthcare Domain
by: Gupta, Vaibhav, et al.
Published: (2026)
by: Gupta, Vaibhav, et al.
Published: (2026)
Improved Scalable Lipschitz Bounds for Deep Neural Networks
by: Syed, Usman, et al.
Published: (2025)
by: Syed, Usman, et al.
Published: (2025)
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI
by: Wu, Tong, et al.
Published: (2022)
by: Wu, Tong, et al.
Published: (2022)
System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models
by: Li, Xiao, et al.
Published: (2023)
by: Li, Xiao, et al.
Published: (2023)
Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization
by: Kanakeri, Vinay, et al.
Published: (2025)
by: Kanakeri, Vinay, et al.
Published: (2025)
Meta-Learning for Physically-Constrained Neural System Identification
by: Chakrabarty, Ankush, et al.
Published: (2025)
by: Chakrabarty, Ankush, et al.
Published: (2025)
A Semi-Supervised Approach for Power System Event Identification
by: Taghipourbazargani, Nima, et al.
Published: (2023)
by: Taghipourbazargani, Nima, et al.
Published: (2023)
Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
by: Pham, Thuan, et al.
Published: (2024)
by: Pham, Thuan, et al.
Published: (2024)
Similar Items
-
Evaluating Imputation Techniques for Short-Term Gaps in Heart Rate Data
by: Gupta, Vaibhav, et al.
Published: (2025) -
Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
by: Janzen, Felix Leonhard, et al.
Published: (2026) -
Late Breaking Results: Conversion of Neural Networks into Logic Flows for Edge Computing
by: Stein, Daniel, et al.
Published: (2026) -
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
by: Frauenknecht, Bernd, et al.
Published: (2026) -
Controller Design for Structured State-space Models via Contraction Theory
by: Zakwan, Muhammad, et al.
Published: (2026)