Výsledky vyhledávání - (dynamical OR dynamika) system autoencoder

Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders Autor Lee, Kookjin, Carlberg, Kevin T.

“…•Two model-reduction methods that project dynamical systems on nonlinear manifolds…”
Získat plný text

Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder Autor Sun, Li, Zhang, Zhongbao, Wang, Feiyang, Ji, Pengxin, Wen, Jian, Su, Sen, Yu, Philip S.

“… Towards this end, we propose a novel Dynamic Graph autoencoder based dynamic social network Alignment approach, referred to as DGA , unfolding the fruitful dynamics of social networks for user alignment…”
Získat plný text

A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder Autor Kim, Youngkyu, Choi, Youngsoo, Widemann, David, Zohdi, Tarek

“…•A novel physics-informed neural network reduced order model is introduced.•It is based on nonlinear manifold solution representation.•A sparse shallow neural…”
Získat plný text

Multi-level convolutional autoencoder networks for parametric prediction of spatio-temporal dynamics Autor Xu, Jiayang, Duraisamy, Karthik

“…A data-driven framework is proposed towards the end of predictive modeling of complex spatio-temporal dynamics, leveraging nested non-linear manifolds…”
Získat plný text

Predicting turbulent dynamics with the convolutional autoencoder echo state network Autor Racca, Alberto, Doan, Nguyen Anh Khoa, Magri, Luca

“…The dynamics of turbulent flows is chaotic and difficult to predict. This makes the design of accurate reduced-order models challenging…”
Získat plný text

Dynamical System Autoencoders Autor He, Shiquan, Paffenroth, Randy, Cava, Olivia, Dunham, Cate

“… In this paper, we introduce a new type of autoencoder that we call dynamical system autoencoder (DSAE…”
Získat plný text

Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders Autor Bie, Xiaoyu, Leglaive, Simon, Alameda-Pineda, Xavier, Girin, Laurent

“…Dynamical variational autoencoders (DVAEs) are a class of deep generative models with latent variables, dedicated to model time series of high-dimensional data…”
Získat plný text

Weighted dynamic network link prediction based on graph autoencoder Autor Mei, Peng, Zhao, Yuhong, Wang, Jingyu, Liang, Yefei

“…With the development of deep learning, Graph Autoencoders (GAE) within unsupervised learning frameworks have been widely applied to representation learning in dynamic networks…”
Získat plný text

An evolutionary autoencoder for dynamic community detection Autor Wang, Zhen, Wang, Chunyu, Gao, Chao, Li, Xuelong, Li, Xianghua

“…Dynamic community detection is significant for controlling and capturing the temporal features of networks…”
Získat plný text

An Efficient Intrusion Detection Method Based on Dynamic Autoencoder Autor Zhao, Ruijie, Yin, Jie, Xue, Zhi, Gui, Guan, Adebisi, Bamidele, Ohtsuki, Tomoaki, Gacanin, Haris, Sari, Hikmet

“… due to power limitation. In this letter, we propose a lightweight dynamic autoencoder network (LDAN…”
Získat plný text

Pattern modeling and fault detection based on dynamic controlled autoencoder Autor Guo, Wei, Luan, Xiaoli, Liu, Fei

“… To effectively monitor these processes, this paper proposes a dynamic controlled autoencoder (DCAE) model for pattern extraction, which primarily consists of an autoencoder and dynamic mapping components…”
Získat plný text

Multiresolution convolutional autoencoders Autor Liu, Yuying, Ponce, Colin, Brunton, Steven L., Kutz, J. Nathan

“…We propose a multi-resolution convolutional autoencoder (MrCAE) architecture that integrates and leverages three highly successful mathematical architectures…”
Získat plný text

DVGMAE: Self-Supervised Dynamic Variational Graph Masked Autoencoder Autor Gao, Mengzhou, Zhang, Xinxun, Jiao, Pengfei, Li, Tianpeng, Zhao, Zhidong

“…Although contrastive self-supervised learning (SSL) on dynamic graphs has made significant success, the issue of heavy reliance on data augmentation and training tricks has been a persistent pain point…”
Získat plný text

A dynamic-inner convolutional autoencoder for process monitoring Autor Zhang, Shuyuan, Qiu, Tong

“…•A vector autoregressive model is innovatively incorporated into the autoencoder latent space to capture process dynamics…”
Získat plný text

A novel process monitoring approach based on variational recurrent autoencoder Autor Cheng, Feifan, He, Q. Peter, Zhao, Jinsong

“…Modern manufacturing plants demand not only more intelligent but also safer and more reliable process monitoring systems…”
Získat plný text

Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction Autor Mrabah, Nairouz, Khan, Naimul Mefraz, Ksantini, Riadh, Lachiri, Zied

“… Since natural systems have smooth dynamics, an opportunity is lost if an unsupervised objective function remains static…”
Získat plný text

Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing Autor He, Yan-Lin, Li, Xing-Yuan, Ma, Jia-Hui, Zhu, Qun-Xiong, Lu, Shan

“… for predicting quality variables using a reliable soft sensor model. Variational Autoencoder (VAE), one of the unsupervised deep learning methods, has been widely used for Gaussian-restricted feature extraction…”
Získat plný text

GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder Autor Bonneville, Christophe, Choi, Youngsoo, Ghosh, Debojyoti, Belof, Jonathan L.

“…). LaSDI maps full-order PDE solutions to a latent space using autoencoders and learns the system of ODEs governing the latent space dynamics…”
Získat plný text

Neural Network Model-Based Control for Manipulator: An Autoencoder Perspective Autor Li, Zhan, Li, Shuai

“… To enhance learning ability of neural network models, the autoencoder method is used as a powerful tool to achieve deep learning and has gained success in recent years…”
Získat plný text

Temporally-consistent koopman autoencoders for forecasting dynamical systems Autor Nayak, Indranil, Chakrabarti, Ananda, Kumar, Mrinal, Teixeira, Fernando L., Goswami, Debdipta

“…Absence of sufficiently high-quality data often poses a key challenge in data-driven modeling of high-dimensional spatio-temporal dynamical systems…”
Získat plný text