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 39 48 0 08 May 2020
An Epidemiological Modelling Approach for Covid19 via Data Assimilation Philip Nadler Shuo Wang Rossella Arcucci Xian Yang Yike Guo 25 44 0 25 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 262 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 41 53 0 04 Jun 2019
DeepFlow: History Matching in the Space of Deep Generative Models L. Mosser O. Dubrule M. Blunt 42 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 221 10,365 0 06 Nov 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.