Copertina

Interpretable and Efficient Data-driven Discovery and Control of Distributed Systems

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wolf, Florian, Botteghi, Nicolò, Fasel, Urban, Manzoni, Andrea
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computational Engineering, Finance, and Science Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Sparse Identification of Nonlinear Dynamics with Conformal Prediction
di: Fasel, Urban
Pubblicazione: (2025)

Laser Scan Path Design for Controlled Microstructure in Additive Manufacturing with Integrated Reduced-Order Phase-Field Modeling and Deep Reinforcement Learning
di: Twumasi, Augustine, et al.
Pubblicazione: (2025)

An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance Analysis
di: Amusat, Oluwamayowa O., et al.
Pubblicazione: (2026)

PDE Control Gym: A Benchmark for Data-Driven Boundary Control of Partial Differential Equations
di: Bhan, Luke, et al.
Pubblicazione: (2024)

Base Models for Parabolic Partial Differential Equations
di: Xu, Xingzi, et al.
Pubblicazione: (2024)

Accelerating Fleet Upgrade Decisions with Machine-Learning Enhanced Optimization
di: Chai, Kenrick Howin, et al.
Pubblicazione: (2025)

Multi-fidelity Bayesian Optimization: A Review
di: Do, Bach, et al.
Pubblicazione: (2023)

Bayesian Optimization under Uncertainty for Training a Scale Parameter in Stochastic Models
di: Yadav, Akash, et al.
Pubblicazione: (2025)

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models
di: Chen, Long, et al.
Pubblicazione: (2025)

Multi-fidelity approaches for general constrained Bayesian optimization with application to aircraft design
di: Cordelier, Oihan, et al.
Pubblicazione: (2026)

A data-driven framework for team selection in Fantasy Premier League
di: Ramezani, Danial, et al.
Pubblicazione: (2025)

Improving Surrogate Model Robustness to Perturbations for Dynamical Systems Through Machine Learning and Data Assimilation
di: Ajayakumar, Abhishek, et al.
Pubblicazione: (2023)

Towards Autonomous Experimentation: Bayesian Optimization over Problem Formulation Space for Accelerated Alloy Development
di: Khatamsaz, Danial, et al.
Pubblicazione: (2025)

Learning to Trust AI and Data-driven models in Data Assimilation through a Multifidelity Ensemble Gaussian Mixture Filter Framework
di: Popov, Andrey A.
Pubblicazione: (2026)

Minimizing Structural Vibrations via Guided Flow Matching Design Optimization
di: van Delden, Jan, et al.
Pubblicazione: (2025)

A Tax-Efficient Model Predictive Control Policy for Retirement Funding
di: Johansson, Kasper, et al.
Pubblicazione: (2025)

Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms
di: Zhang, Xiangyuan, et al.
Pubblicazione: (2023)

Controlling Large Electric Vehicle Charging Stations via User Behavior Modeling and Stochastic Programming
di: Puech, Alban, et al.
Pubblicazione: (2024)

Solving strategies for data-driven one-dimensional elasticity exhibiting nonlinear strains
di: Nguyen, Thi-Hoa, et al.
Pubblicazione: (2025)

An Uncertainty-Aware Data-Driven Predictive Controller for Hybrid Power Plants
di: Desai, Manavendra, et al.
Pubblicazione: (2025)

Exploring the non-convexity in machine learning using quantum-inspired optimization
di: Kumar, Kandula Eswara Sai, et al.
Pubblicazione: (2026)

Solving Inverse Problem for Multi-armed Bandits via Convex Optimization
di: Zhu, Hao, et al.
Pubblicazione: (2025)

Inverse Reinforcement Learning via Convex Optimization
di: Zhu, Hao, et al.
Pubblicazione: (2025)

Designing MacPherson Suspension Architectures using Bayesian Optimization
di: Thomas, Sinnu Susan, et al.
Pubblicazione: (2022)

A Scoping Review on Simulation-based Design Optimization in Marine Engineering: Trends, Best Practices, and Gaps
di: Serani, Andrea, et al.
Pubblicazione: (2024)

Data-driven uncertainty-aware seakeeping prediction of the Delft 372 catamaran using ensemble Hankel dynamic mode decomposition
di: Palma, Giorgio, et al.
Pubblicazione: (2025)

A Machine Learning Enabled MDO for Bio-Inspired Autonomous Underwater Gliders
di: Serani, Andrea, et al.
Pubblicazione: (2026)

Reverse Supply Chain Network Design of a Polyurethane Waste Upcycling System
di: Özkan, Dalga Merve, et al.
Pubblicazione: (2025)

Optimizing Perishable and Non-Perishable Product Assignment to Packaging Lines in a Sustainable Manufacturing System: An AUGMECON2VIKOR Algorithm
di: Shahabi-Shahmiri, Reza, et al.
Pubblicazione: (2024)

AI Driven Laser Parameter Search: Inverse Design of Photonic Surfaces using Greedy Surrogate-based Optimization
di: Grbcic, Luka, et al.
Pubblicazione: (2024)

Efficient Training of Learning-Based Thermal Power Flow for 4th Generation District Heating Grids
di: Bott, Andreas, et al.
Pubblicazione: (2024)

Probabilistically Robust Uncertainty Analysis and Optimal Control of Continuous Lyophilization via Polynomial Chaos Theory
di: Srisuma, Prakitr, et al.
Pubblicazione: (2025)

LLM-Enhanced, Data-Driven Personalized and Equitable Clinician Scheduling: A Predict-then-Optimize Approach
di: Jha, Anjali, et al.
Pubblicazione: (2025)

Data-driven Sensor Placement for Predictive Applications: A Correlation-Assisted Attribution Framework (CAAF)
di: Leung, Sze Chai, et al.
Pubblicazione: (2025)

Data-driven Power Flow Linearization: Theory
di: Jia, Mengshuo, et al.
Pubblicazione: (2024)

Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies
di: Botteghi, Nicolò, et al.
Pubblicazione: (2024)

Optimal design of frame structures with mixed categorical and continuous design variables using the Gumbel-Softmax method
di: Ebrahimi, Mehran, et al.
Pubblicazione: (2024)

Bike network planning in limited urban space
di: Wiedemann, Nina, et al.
Pubblicazione: (2024)

Circle Packing Problem Using Nature-Inspired Optimization Techniques
di: Mundra, Pulkit, et al.
Pubblicazione: (2024)

Achieving binary topology optimization solutions via automatic projection parameter increase
di: Dunning, Peter Donald
Pubblicazione: (2024)