Image de couverture de livre

Bayesian Neural Network Surrogates for Bayesian Optimization of Carbon Capture and Storage Operations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Fotias, Sofianos Panagiotis, Gaganis, Vassilis
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Closed-Loop CO2 Storage Control With History-Based Reinforcement Learning and Latent Model-Based Adaptation
par: Fotias, Sofianos Panagiotis, et autres
Publié: (2026)

A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
par: Li, Yucen Lily, et autres
Publié: (2023)

Multi-modal Bayesian Neural Network Surrogates with Conjugate Last-Layer Estimation
par: Taylor, Ian, et autres
Publié: (2025)

Towards Scalable Bayesian Optimization via Gradient-Informed Bayesian Neural Networks
par: Makrygiorgos, Georgios, et autres
Publié: (2025)

Empowering Bayesian Neural Networks with Functional Priors through Anchored Ensembling for Mechanics Surrogate Modeling Applications
par: Ghorbanian, Javad, et autres
Publié: (2024)

Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks
par: Lahoud, Alan A., et autres
Publié: (2024)

Spatial Bayesian Neural Networks
par: Zammit-Mangion, Andrew, et autres
Publié: (2023)

Bayesian Optimization for Hyperparameters Tuning in Neural Networks
par: Onorato, Gabriele
Publié: (2024)

Singular Bayesian Neural Networks
par: Toure, Mame Diarra, et autres
Publié: (2026)

Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
par: Reiser, Philipp, et autres
Publié: (2023)

Bayesian Neural Networks: An Introduction and Survey
par: Goan, Ethan, et autres
Publié: (2020)

Data Subsampling for Bayesian Neural Networks
par: Kawasaki, Eiji, et autres
Publié: (2022)

Precise Bayesian Neural Networks
par: Brito, Carlos Stein
Publié: (2025)

Bayesian Inverse Problems with Conditional Sinkhorn Generative Adversarial Networks in Least Volume Latent Spaces
par: Chen, Qiuyi, et autres
Publié: (2024)

Bayesian Neural Networks for Macroeconomic Analysis
par: Hauzenberger, Niko, et autres
Publié: (2022)

Bayesian Neural Networks for Functional ANOVA model
par: Park, Seokhun, et autres
Publié: (2025)

Risk-Averse Certification of Bayesian Neural Networks
par: Zhang, Xiyue, et autres
Publié: (2024)

Bayesian Neighborhood Adaptation for Graph Neural Networks
par: Regmi, Paribesh, et autres
Publié: (2026)

Structured Partial Stochasticity in Bayesian Neural Networks
par: Rochussen, Tommy
Publié: (2024)

Bayesian Neural Networks with Domain Knowledge Priors
par: Sam, Dylan, et autres
Publié: (2024)

Improved Depth Estimation of Bayesian Neural Networks
par: van Erp, Bart, et autres
Publié: (2024)

Bayesian Sheaf Neural Networks
par: Gillespie, Patrick, et autres
Publié: (2024)

Bayesian Optimization on Networks
par: Li, Wenwen, et autres
Publié: (2025)

DT-PBO: an Interpretable Tree-based Surrogate Model for Preferential Bayesian Optimization
par: Leenders, Nick, et autres
Publié: (2025)

Parametric Nonconvex Optimization via Convex Surrogates
par: Wang, Renzi, et autres
Publié: (2026)

Sequential Bayesian Design for Efficient Surrogate Construction in the Inversion of Darcy Flows
par: Wang, Hongji, et autres
Publié: (2025)

Bayesian Surrogates for Risk-Aware Pre-Assessment of Aging Bridge Portfolios
par: Kuhn, Sophia V., et autres
Publié: (2025)

Surrogate modeling for Bayesian optimization beyond a single Gaussian process
par: Lu, Qin, et autres
Publié: (2022)

Optimization over Trained (and Sparse) Neural Networks: A Surrogate within a Surrogate
par: Pham, Hung, et autres
Publié: (2025)

Implicit Generative Prior for Bayesian Neural Networks
par: Liu, Yijia, et autres
Publié: (2024)

Efficient Model Compression for Bayesian Neural Networks
par: Saha, Diptarka, et autres
Publié: (2024)

The Sensitivity of Variational Bayesian Neural Network Performance to Hyperparameters
par: Koermer, Scott, et autres
Publié: (2025)

Functional Stochastic Gradient MCMC for Bayesian Neural Networks
par: Wu, Mengjing, et autres
Publié: (2024)

Training Feedforward Neural Networks with Bayesian Hyper-Heuristics
par: Schreuder, Arné, et autres
Publié: (2023)

Graph Structure Learning with Interpretable Bayesian Neural Networks
par: Wasserman, Max, et autres
Publié: (2024)

On the Interplay of Priors and Overparametrization in Bayesian Neural Network Posteriors
par: Kobialka, Julius, et autres
Publié: (2026)

The Epistemic Uncertainty Hole: an issue of Bayesian Neural Networks
par: Fellaji, Mohammed, et autres
Publié: (2024)

Function-Space MCMC for Bayesian Wide Neural Networks
par: Pezzetti, Lucia, et autres
Publié: (2024)

OASI: Objective-Aware Surrogate Initialization for Multi-Objective Bayesian Optimization in TinyML Keyword Spotting
par: Garai, Soumen, et autres
Publié: (2025)

Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction
par: Shihua, James M., et autres
Publié: (2025)