Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics

23 December 2019

Papers citing "Multi-level Convolutional Autoencoder Networks for Parametric Prediction of Spatio-temporal Dynamics"

15 / 15 papers shown

Title
Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for behavior analysis? Qingyi Wang Shenhao Wang Yunhan Zheng Hongzhou Lin Xiaohu Zhang Jinhua Zhao Joan Walker 13 9 0 07 Mar 2023
An Implicit GNN Solver for Poisson-like problems Matthieu Nastorg M. Bucci T. Faney J. Gratien Guillaume Charpiat Marc Schoenauer AI4CE 34 2 0 06 Feb 2023
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems Isabella Carla Gonnella M. Hess G. Stabile G. Rozza AI4CE 32 2 0 24 Jan 2023
An Energy-Efficient Reconfigurable Autoencoder Implementation on FPGA Murat Isik Matthew Oldland Lifeng Zhou 11 7 0 17 Jan 2023
Deep Convolutional Architectures for Extrapolative Forecast in Time-dependent Flow Problems Pratyush Bhatt Y. Kumar A. Soulaïmani AI4TS AI4CE 14 5 0 18 Sep 2022
Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity Nikolaos N. Vlassis WaiChing Sun AI4CE 32 32 0 30 Jul 2022
AI-enhanced iterative solvers for accelerating the solution of large scale parametrized systems Stefanos Nikolopoulos I. Kalogeris V. Papadopoulos G. Stavroulakis 24 11 0 06 Jul 2022
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes Claire E. Heaney Zef Wolffs Jón Atli Tómasson L. Kahouadji P. Salinas A. Nicolle Omar K. Matar Ionel M. Navon N. Srinil Christopher C. Pain AI4CE 29 21 0 13 Feb 2022
Predicting Physics in Mesh-reduced Space with Temporal Attention Xu Han Han Gao Tobias Pfaff Jian-Xun Wang Liping Liu AI4CE 21 73 0 22 Jan 2022
Emulation of greenhouse-gas sensitivities using variational autoencoders L. Cartwright A. Zammit‐Mangion N. Deutscher 13 7 0 22 Dec 2021
Fast PDE-constrained optimization via self-supervised operator learning Sizhuang He Mohamed Aziz Bhouri P. Perdikaris 47 28 0 25 Oct 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution Omer San Adil Rasheed T. Kvamsdal 48 50 0 26 Mar 2021
Applying Convolutional Neural Networks to Data on Unstructured Meshes with Space-Filling Curves Claire E. Heaney Yuling Li Omar K. Matar Christopher C. Pain AI4CE 19 15 0 24 Nov 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,748 0 26 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 236 7,906 0 13 Jun 2015