Image de couverture de livre

Space Mapping Optimization using Neural Networks for Efficient Parameter Estimation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Kotecha, Dhruvil Kamleshkumar
Format:	Preprint
Publié:	2025
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Parameter-Efficient Subspace Optimization for LLM Fine-Tuning
par: Lou, Yuchen, et autres
Publié: (2025)

Maintenance Optimization for Asset Networks with Unknown Degradation Parameters
par: Verleijsdonk, Peter, et autres
Publié: (2024)

Novel Optimization Techniques for Parameter Estimation
par: Wu, Chenyu, et autres
Publié: (2024)

Neural-NPV Control: Learning Parameter-Dependent Controllers and Lyapunov Functions with Neural Networks
par: Niloy, MD Abul Kashem, et autres
Publié: (2026)

Unified Control Framework: A Novel Perspective on Constrained Optimization, Optimization-based Control, and Parameter Estimation
par: Gunjal, Revati, et autres
Publié: (2024)

On Solar Photovoltaic Parameter Estimation: Global Optimality Analysis and a Simple Efficient Differential Evolution Method
par: Gao, Shuhua, et autres
Publié: (2020)

Peak Estimation of Rational Systems using Convex Optimization
par: Miller, Jared, et autres
Publié: (2023)

Simulation-Based Optimization over Discrete Spaces using Projection to Continuous Latent Spaces
par: Hernández-Morales, Gabriel, et autres
Publié: (2025)

Online Traffic Density Estimation using Physics-Informed Neural Networks
par: Wilkman, Dennis, et autres
Publié: (2025)

Parameter Robustness in Data-Driven Estimation of Dynamical Systems
par: Pandey, Ayush
Publié: (2025)

Joint Parameter and State-Space Bayesian Optimization: Using Process Expertise to Accelerate Manufacturing Optimization
par: Kiroriwal, Saksham, et autres
Publié: (2026)

Optimization by Directional Attacks: Solving Problems with Neural Network Surrogates
par: Bouchet, Pierre-Yves, et autres
Publié: (2025)

Online Optimization with Unknown Time-varying Parameters
par: Tripathi, Shivanshu, et autres
Publié: (2025)

Generalizing Space Logistics Network Optimization with Integrated Machine Learning and Mathematical Programming
par: Ho, Koki, et autres
Publié: (2024)

Accelerating Adaptive Systems via Normalized Parameter Estimation Laws
par: Boveiri, Mohammad, et autres
Publié: (2025)

Nonconvex Nonsmooth Multicomposite Optimization and Its Applications to Recurrent Neural Networks
par: Jin, Lingzi, et autres
Publié: (2025)

A Quantile Neural Network Framework for Two-stage Stochastic Optimization
par: Alcántara, Antonio, et autres
Publié: (2024)

Parameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
par: Hose, Henrik, et autres
Publié: (2024)

Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
par: Cao, John, et autres
Publié: (2025)

Picard Iteration for Parameter Estimation in Nonlinear Ordinary Differential Equations
par: Talitckii, Aleksandr, et autres
Publié: (2024)

Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
par: Wang, Hanyang, et autres
Publié: (2025)

Embedded State Estimation for Optimization of Cislunar Space Domain Awareness Constellation Design
par: Clareson, Thomas H., et autres
Publié: (2024)

Optimization over Trained Neural Networks: Going Large with Gradient-Based Algorithms
par: Tong, Jiatai, et autres
Publié: (2025)

Extremum Seeking for PDE Systems using Physics-Informed Neural Networks
par: Guo, Haojin, et autres
Publié: (2025)

Distributed Combined Space Partitioning and Network Flow Optimization: an Optimal Transport Approach (Extended Version)
par: Laurentin, Théo, et autres
Publié: (2025)

Universal and Parameter-free Gradient Sliding for Composite Optimization
par: Wu, Yan, et autres
Publié: (2026)

Stability of Jordan Recurrent Neural Network Estimator
par: Kaur, Avneet, et autres
Publié: (2025)

Reducing Simulation Effort for RIS Optimization using an Efficient Far-Field Approximation
par: Lang, Hans-Dieter, et autres
Publié: (2025)

Curse of Dimensionality in Neural Network Optimization
par: Na, Sanghoon, et autres
Publié: (2025)

Bound Tightening using Rolling-Horizon Decomposition for Neural Network Verification
par: Zhao, Haoruo, et autres
Publié: (2024)

Optimization over Trained Neural Networks: Difference-of-Convex Algorithm and Application to Data Center Scheduling
par: Liu, Xinwei, et autres
Publié: (2025)

Efficient Estimation of Relaxed Model Parameters for Robust UAV Trajectory Optimization
par: Fan, Derek, et autres
Publié: (2024)

On the Rate of Convergence of Iterative Methods for Nonexpansive Mappings in CAT(0) Spaces and Hyperbolic Optimization
par: Foglia, Katherine Rossella, et autres
Publié: (2025)

A Parameter-free Decentralized Algorithm for Composite Convex Optimization
par: Chen, Xiaokai, et autres
Publié: (2025)

Parameter Optimization in Trajectory Planning via Differentiable Convex Programming
par: Xu, Ziqi, et autres
Publié: (2025)

Combined Parameter and Shape Optimization of Electric Machines with Isogeometric Analysis
par: Wiesheu, Michael, et autres
Publié: (2023)

Towards Parameter-free Distributed Optimization: a Port-Hamiltonian Approach
par: Aldana-López, Rodrigo, et autres
Publié: (2024)

$H_{\infty}$-Optimal Estimator Synthesis for Coupled Linear 2D PDEs using Convex Optimization
par: Jagt, Declan S., et autres
Publié: (2024)

Polyak Stepsize: Estimating Optimal Functional Values Without Parameters or Prior Knowledge
par: Abdukhakimov, Farshed, et autres
Publié: (2025)

A Joint Optimization Approach for Power-Efficient Heterogeneous OFDMA Radio Access Networks
par: Ferreira, Gabriel O., et autres
Publié: (2024)