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Multi-fidelity surrogate modeling using long short-term memory networks

5 August 2022

Papers citing "Multi-fidelity surrogate modeling using long short-term memory networks"

22 / 22 papers shown

Title
Multifidelity Reinforcement Learning with Control Variates Sami Khairy Prasanna Balaprakash OffRL 67 5 0 10 Jun 2022
Multifidelity data fusion in convolutional encoder/decoder networks Lauren Partin Gianluca Geraci A. Rushdi M. Eldred Daniele E. Schiavazzi UQCV AI4CE 45 14 0 10 May 2022
Multifidelity Deep Operator Networks For Data-Driven and Physics-Informed Problems Amanda A. Howard M. Perego G. Karniadakis P. Stinis AI4CE 70 56 0 19 Apr 2022
Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport Lu Lu R. Pestourie Steven G. Johnson Giuseppe Romano AI4CE 67 107 0 14 Apr 2022
An extended physics informed neural network for preliminary analysis of parametric optimal control problems N. Demo M. Strazzullo G. Rozza PINN 49 36 0 26 Oct 2021
A brief note on understanding neural networks as Gaussian processes Mengwu Guo BDL GP 66 2 0 25 Jul 2021
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models S. Fresca Andrea Manzoni AI4CE 45 36 0 10 Jun 2021
Transfer Learning on Multi-Fidelity Data Dong H. Song D. Tartakovsky AI4CE 55 26 0 29 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 125 97 0 26 Feb 2021
POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition S. Fresca Andrea Manzoni AI4CE 63 215 0 28 Jan 2021
Multi-fidelity Bayesian Neural Networks: Algorithms and Applications Xuhui Meng H. Babaee George Karniadakis 54 131 0 19 Dec 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 61 44 0 08 Jun 2020
Deep learning-based reduced order models in cardiac electrophysiology S. Fresca Andrea Manzoni Luca Dede' A. Quarteroni 53 66 0 02 Jun 2020
A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs S. Fresca Luca Dede' Andrea Manzoni AI4CE 68 264 0 12 Jan 2020
Deep Gaussian Processes for Multi-fidelity Modeling Kurt Cutajar Mark Pullin Andreas C. Damianou Neil D. Lawrence Javier I. González AI4CE 59 110 0 18 Mar 2019
Multi-Fidelity Recursive Behavior Prediction Mihir Jain Kyle Brown A. Sadek AI4CE 70 6 0 18 Dec 2018
Survey of multifidelity methods in uncertainty propagation, inference, and optimization Benjamin Peherstorfer Karen E. Willcox M. Gunzburger AI4CE 48 754 0 28 Jun 2018
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 128 1,093 0 01 Nov 2017
Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations C. Beck Weinan E Arnulf Jentzen 56 331 0 18 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 704 131,652 0 12 Jun 2017
Deep Multi-fidelity Gaussian Processes M. Raissi George Karniadakis 58 55 0 26 Apr 2016
Kernels for Vector-Valued Functions: a Review Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence GP 210 927 0 30 Jun 2011