Multi-fidelity Bayesian Neural Networks: Algorithms and Applications

19 December 2020

Papers citing "Multi-fidelity Bayesian Neural Networks: Algorithms and Applications"

39 / 39 papers shown

Title
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations Haoyang Zheng Guang Lin AI4CE 89 0 0 01 Feb 2025
Graph Laplacian-based Bayesian Multi-fidelity Modeling Orazio Pinti Jeremy M. Budd Franca Hoffmann Assad A. Oberai 81 1 0 12 Sep 2024
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads Andrea Vaiuso Gabriele Immordino Marcello Righi A. Ronch AI4CE 71 0 0 08 Jul 2024
Multifidelity digital twin for real-time monitoring of structural dynamics in aquaculture net cages E. Katsidoniotaki Biao Su Eleni Kelasidi T. Sapsis AI4CE 57 2 0 06 Jun 2024
Reconstructing Blood Flow in Data-Poor Regimes: A Vasculature Network Kernel for Gaussian Process Regression S. Z. Ashtiani Mohammad Sarabian K. Laksari H. Babaee 52 4 0 14 Mar 2024
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty Pratyush Kumar Singh Kathryn A. Farrell-Maupin D. Faghihi 68 7 0 13 Mar 2024
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling Ruijia Niu D. Wu Kai Kim Yi-An Ma D. Watson‐Parris Rose Yu AI4CE 85 4 0 29 Feb 2024
A comprehensive framework for multi-fidelity surrogate modeling with noisy data: a gray-box perspective Katerina Giannoukou S. Marelli Bruno Sudret AI4CE 33 1 0 12 Jan 2024
Rethinking materials simulations: Blending direct numerical simulations with neural operators Vivek Oommen K. Shukla Saaketh Desai Rémi Dingreville George Karniadakis AI4CE 93 22 0 08 Dec 2023
A Bayesian neural network approach to Multi-fidelity surrogate modelling Baptiste Kerleguer C. Cannamela Josselin Garnier UQCV 23 5 0 05 Dec 2023
Correcting model misspecification in physics-informed neural networks (PINNs) Zongren Zou Xuhui Meng George Karniadakis PINN 71 43 0 16 Oct 2023
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification Qianli Shen Wai Hoh Tang Zhun Deng Apostolos F. Psaros Kenji Kawaguchi 208 1 0 10 Oct 2023
Residual Multi-Fidelity Neural Network Computing Owen Davis Mohammad Motamed Raúl Tempone 52 1 0 05 Oct 2023
A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling Yi-Ping Chen Liwei Wang Yigitcan Comlek Wei Chen 49 10 0 05 Oct 2023
Multi-fidelity climate model parameterization for better generalization and extrapolation Mohamed Aziz Bhouri Liran Peng Michael S. Pritchard Pierre Gentine AI4CE 89 4 0 19 Sep 2023
Multi-fidelity reduced-order surrogate modeling Paolo Conti Mengwu Guo Andrea Manzoni A. Frangi Steven L. Brunton N. Kutz AI4CE 93 28 0 01 Sep 2023
Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution S. Pérez P. Poncet 52 3 0 24 Aug 2023
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations Wyatt Bridgman Reese E. Jones Mohammad Khalil 59 1 0 12 Jul 2023
Differentiable Multi-Fidelity Fusion: Efficient Learning of Physics Simulations with Neural Architecture Search and Transfer Learning Yuwen Deng Wang Kang Wei W. Xing OOD AI4CE 71 0 0 12 Jun 2023
An information field theory approach to Bayesian state and parameter estimation in dynamical systems Kairui Hao Ilias Bilionis 48 4 0 03 Jun 2023
Disentangled Multi-Fidelity Deep Bayesian Active Learning D. Wu Ruijia Niu Matteo Chinazzi Yi-An Ma Rose Yu AI4CE 88 7 0 07 May 2023
A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data Orazio Pinti Assad A. Oberai 48 0 0 29 Mar 2023
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task Sunwoong Yang K. Yee UQCV 77 6 0 28 Mar 2023
Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations Wenqian Chen P. Stinis OOD AI4CE 92 7 0 21 Mar 2023
A DeepONet multi-fidelity approach for residual learning in reduced order modeling N. Demo M. Tezzele G. Rozza 79 22 0 24 Feb 2023
Partial Differential Equations Meet Deep Neural Networks: A Survey Shudong Huang Wentao Feng Chenwei Tang Jiancheng Lv AI4CE AIMat 77 21 0 27 Oct 2022
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators Zongren Zou Xuhui Meng Apostolos F. Psaros George Karniadakis AI4CE 97 39 0 25 Aug 2022
Multi-fidelity surrogate modeling using long short-term memory networks Paolo Conti Mengwu Guo Andrea Manzoni J. Hesthaven AI4CE 77 48 0 05 Aug 2022
Multi-fidelity Hierarchical Neural Processes D. Wu Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu AI4CE 62 13 0 10 Jun 2022
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data Xu Liu Wenjuan Yao Wei Peng Weien Zhou PINN AI4CE 80 27 0 14 May 2022
Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems K. Linka Amelie Schäfer Xuhui Meng Zongren Zou George Karniadakis E. Kuhl OOD PINN AI4CE 89 115 0 12 May 2022
Multifidelity data fusion in convolutional encoder/decoder networks Lauren Partin Gianluca Geraci A. Rushdi M. Eldred Daniele E. Schiavazzi UQCV AI4CE 58 14 0 10 May 2022
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems Shailesh Garg S. Chakraborty B. Hazra 75 20 0 01 Sep 2021
Physics-informed neural networks for improving cerebral hemodynamics predictions Mohammad Sarabian H. Babaee K. Laksari AI4CE 8 3 0 25 Aug 2021
Bayesian Deep Learning for Partial Differential Equation Parameter Discovery with Sparse and Noisy Data Christophe Bonneville Christopher Earls 86 14 0 05 Aug 2021
Active Learning with Multifidelity Modeling for Efficient Rare Event Simulation Somayajulu L. N. Dhulipala Michael D. Shields B. Spencer C. Bolisetti A. Slaughter V. Labouré P. Chakroborty 56 24 0 25 Jun 2021
Learning Functional Priors and Posteriors from Data and Physics Xuhui Meng Liu Yang Zhiping Mao J. Ferrandis George Karniadakis AI4CE 167 61 0 08 Jun 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey A. Sun H. Yoon C. Shih Zhi Zhong AI4CE 65 11 0 10 Apr 2021
Multi-fidelity regression using artificial neural networks: efficient approximation of parameter-dependent output quantities Mengwu Guo Andrea Manzoni Maurice Amendt Paolo Conti J. Hesthaven 184 97 0 26 Feb 2021