Suchergebnisse - (dynamical OR dynamika) system autoencoder~

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

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

Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder von 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 …”
Volltext

A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder von 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 …”
Volltext

Multi-level convolutional autoencoder networks for parametric prediction of spatio-temporal dynamics von 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 …”
Volltext

Predicting turbulent dynamics with the convolutional autoencoder echo state network von 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 …”
Volltext

Dynamical System Autoencoders von 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 …”
Volltext

Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders von 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 …”
Volltext

Weighted dynamic network link prediction based on graph autoencoder von 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 …”
Volltext

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

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

An Efficient Intrusion Detection Method Based on Dynamic Autoencoder von 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 …”
Volltext

Pattern modeling and fault detection based on dynamic controlled autoencoder von 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 …”
Volltext

Multiresolution convolutional autoencoders von 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 …”
Volltext

DVGMAE: Self-Supervised Dynamic Variational Graph Masked Autoencoder von 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 …”
Volltext

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

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

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

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

Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction von 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 …”
Volltext

Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing von 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 …”
Volltext

GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder von 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 …”
Volltext

Neural Network Model-Based Control for Manipulator: An Autoencoder Perspective von 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 …”
Volltext

Temporally-consistent koopman autoencoders for forecasting dynamical systems von 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 …”
Volltext