Search Results - (dynamical OR dynamika) system autoencoder

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

“…•Two model-reduction methods that project dynamical systems on nonlinear manifolds…”
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Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder by 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…”
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A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder by 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…”
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Multi-level convolutional autoencoder networks for parametric prediction of spatio-temporal dynamics by 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…”
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Predicting turbulent dynamics with the convolutional autoencoder echo state network by 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…”
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Dynamical System Autoencoders by 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…”
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Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders by 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…”
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Weighted dynamic network link prediction based on graph autoencoder by 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…”
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An evolutionary autoencoder for dynamic community detection by Wang, Zhen, Wang, Chunyu, Gao, Chao, Li, Xuelong, Li, Xianghua

“…Dynamic community detection is significant for controlling and capturing the temporal features of networks…”
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An Efficient Intrusion Detection Method Based on Dynamic Autoencoder by 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…”
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Pattern modeling and fault detection based on dynamic controlled autoencoder by 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…”
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Multiresolution convolutional autoencoders by 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…”
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DVGMAE: Self-Supervised Dynamic Variational Graph Masked Autoencoder by 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…”
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A dynamic-inner convolutional autoencoder for process monitoring by Zhang, Shuyuan, Qiu, Tong

“…•A vector autoregressive model is innovatively incorporated into the autoencoder latent space to capture process dynamics…”
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A novel process monitoring approach based on variational recurrent autoencoder by Cheng, Feifan, He, Q. Peter, Zhao, Jinsong

“…Modern manufacturing plants demand not only more intelligent but also safer and more reliable process monitoring systems…”
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Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction by 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…”
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Attribute-relevant distributed variational autoencoder integrated with LSTM for dynamic industrial soft sensing by 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…”
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GPLaSDI: Gaussian Process-based interpretable Latent Space Dynamics Identification through deep autoencoder by 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…”
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Neural Network Model-Based Control for Manipulator: An Autoencoder Perspective by 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…”
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Temporally-consistent koopman autoencoders for forecasting dynamical systems by 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…”
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