Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the
spread of COVID-19

Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19

17 May 2021

Vinicius L. S. Silva

Claire E. Heaney

Christopher C. Pain

Papers citing "Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19"

18 / 18 papers shown

Title
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks T. Kadeethum Daniel O’Malley J. Fuhg Youngsoo Choi Jonghyun Lee Hari S. Viswanathan N. Bouklas AI4CE 44 88 0 27 May 2021
Digital twins based on bidirectional LSTM and GAN for modelling the COVID-19 pandemic César Quilodrán-Casas Vinicius L. S. Silva Rossella Arcucci Claire E. Heaney Yike Guo Christopher C. Pain 68 41 0 03 Feb 2021
Non-intrusive Surrogate Modeling for Parametrized Time-dependent PDEs using Convolutional Autoencoders Stefanos Nikolopoulos I. Kalogeris V. Papadopoulos AI4CE 43 11 0 14 Jan 2021
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion Toby R. F. Phillips Claire E. Heaney Paul N. Smith Christopher C. Pain 40 58 0 15 Aug 2020
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation Shuo Wang G. Tarroni C. Qin Yuanhan Mo Chengliang Dai Chen Chen Ben Glocker Yike Guo Daniel Rueckert Wenjia Bai MedIm 42 28 0 23 Jun 2020
Recent Developments Combining Ensemble Smoother and Deep Generative Networks for Facies History Matching S. A. Canchumuni J. D. B. Castro Júlia Potratz A. Emerick M. Pacheco 42 48 0 08 May 2020
An Epidemiological Modelling Approach for Covid19 via Data Assimilation Philip Nadler Shuo Wang Rossella Arcucci Xian Yang Yike Guo 27 44 0 25 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 267 10,591 0 17 Feb 2020
A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs S. Fresca Luca Dede' Andrea Manzoni AI4CE 46 259 0 12 Jan 2020
Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics Jiayang Xu Karthik Duraisamy AI4CE 47 142 0 23 Dec 2019
Improving Variational Autoencoder with Deep Feature Consistent and Generative Adversarial Training Xianxu Hou Ke Sun Linlin Shen Guoping Qiu GAN DRL 43 53 0 04 Jun 2019
DeepFlow: History Matching in the Space of Deep Generative Models L. Mosser O. Dubrule M. Blunt 44 13 0 14 May 2019
Data driven approximation of parametrized PDEs by Reduced Basis and Neural Networks N. D. Santo S. Deparis Luca Pegolotti 36 66 0 02 Apr 2019
Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling Chuan Lu Xueyu Zhu 35 11 0 01 Feb 2019
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks Agrim Gupta Justin Johnson Li Fei-Fei Silvio Savarese Alexandre Alahi GAN 151 1,895 0 29 Mar 2018
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 237 13,968 0 19 Nov 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 141 2,775 0 20 Feb 2015
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 223 10,365 0 06 Nov 2014