Search Results - Variational Autoen-coder

Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems by Bo, Yufei, Duan, Yiheng, Shao, Shuo, Tao, Meixia

“…In learning-based semantic communications, neural networks have replaced different building blocks in traditional communication systems. However, the digital…”
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Probabilistic Autoencoder Using Fisher Information by Zacherl, Johannes, Frank, Philipp, Enßlin, Torsten A.

“… Variational autoencoders (VAEs) are neural networks that are able to represent the essential information of a high dimensional data set in a low dimensional latent space, which have a probabilistic interpretation…”
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Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery by Li, Junde, Ghosh, Swaroop

“… Variational autoencoder is one of the computer-aided design methods which explores the chemical space based on an existing molecular dataset…”
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Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization by Habijan, Marija, Galić, Irena, Leventić, Hrvoje, Romić, Krešimir

“…An accurate whole heart segmentation (WHS) on medical images, including computed tomography (CT) and magnetic resonance (MR) images, plays a crucial role in…”
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Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference by Do, Tien Huu, Minh Nguyen, Duc, Tsiligianni, Evaggelia, Aguirre, Angel Lopez, Panzica La Manna, Valerio, Pasveer, Frank, Philips, Wilfried, Deligiannis, Nikos

“… We formulate air quality inference in this setting as a graph-based matrix completion problem and propose a novel variational model based on graph convolutional autoencoders…”
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Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder by Melechovsky, Jan, Mehrish, Ambuj, Sisman, Berrak, Herremans, Dorien

“… This paper introduces a novel and efficient framework for accented Text-to-Speech (TTS) synthesis based on a Conditional Variational Autoencoder…”
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Task-Oriented Connectivity for Networked Robotics with Generative AI and Semantic Communications by Li, Peizheng, Aijaz, Adnan

“…The convergence of robotics, advanced communication networks, and artificial intelligence (AI) holds the promise of transforming industries through fully…”
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A decision support system for online predictive maintenance of distribution transformers by Kampourakis, Manthos, Fiotakis, Giorgos, Livieris, Ioannis E., Fourakis, Spyros, Kyriakoulis, Nikos, Kokkorikos, Stefanos, Chondronasios, Apostolos

“…Predictive maintenance of distribution transformers is generally considered a considerably challenging task, requiring the frequent inspection of specific…”
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Deep Learning Anomaly Detection methods to passively detect COVID-19 from Audio by Murthy, Shreesha Narasimha, Agu, Emmanuel

“…The world has been severely affected by COVID-19, an infectious disease caused by the SARS-Cov-2 coronavirus. COVID-19 incubates in a patient for 7 days before…”
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Posterior Collapse in Variational Gradient Origin Networks by Clapham, Peter, Grzes, Marek

“… While it is known to occur in Variational Autoencoders (VAEs), it is unknown whether it occurs in Variational Gradient Origin Networks (VGONs…”
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Exploring deep generative models for improved data generation in hypertrophic cardiomyopathy by Rayavarapu, Swarajya Madhuri, Rao, Gottapu Sasibhushana

“… This study evaluates several generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs…”
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Unsupervised Hybrid Deep Generative Models for Photovoltaic Synthetic Data Generation by Rosa de Jesus, Dan A., Mandal, Paras, Senjyu, Tomonobu, Kamalasadan, Sukumar

“…) synthetic data generation problems by exploring Deep Generative Model (DGM) that combines Variational Autoencoders (VAE…”
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Generating robotic emotional body language with variational autoencoders by Marmpena, Mina, Lim, Angelica, Dahl, Torbjorn S., Hemion, Nikolas

“… the variational autoencoder framework…”
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Deep Learning Approach for Epileptic Focus Localization by Daoud, Hisham, Bayoumi, Magdy

“…The task of epileptic focus localization receives great attention due to its role in an effective epileptic surgery. The clinicians highly depend on the…”
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Graph Embedding For Link Prediction Using Residual Variational Graph Autoencoders by Keser, Reyhan Kevser, Nallbani, Indrit, Calik, Nurullah, Ayanzadeh, Aydin, Tgreyin, Behcet Ugur

“… In this paper, we propose a novel graph embedding method called Residual Variational Graph Autoencoder (RVGAE…”
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Generating Diverse and Natural 3D Human Motions from Text by Guo, Chuan, Zou, Shihao, Zuo, Xinxin, Wang, Sen, Ji, Wei, Li, Xingyu, Cheng, Li

“… This is followed by our text2motion module using temporal variational autoen-coder to synthesize a diverse set of human motions of the sampled lengths…”
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Predictive Coding with Topographic Variational Autoencoders by Keller, T. Anderson, Welling, Max

“… In this work, we show how the equivariant capsules learned by a Topographic Variational Autoen-coder can be extended to fit within the predictive coding framework by treating the slow rolling…”
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Structural relational inference actor-critic for multi-agent reinforcement learning by Zhang, Xianjie, Liu, Yu, Xu, Xiujuan, Huang, Qiong, Mao, Hangyu, Carie, Anil

“…•We apply the variational autoencoder model to obtain the latent relations.•We employ graph attention network to gather the information of neighbor agents…”
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A process monitoring and fault isolation framework based on variational autoencoders and branch and bound method by Tang, Peng, Peng, Kaixiang, Jiao, Ruihua

“… In this paper, a process monitoring and fault isolation framework is proposed for nonlinear processes using variational autoencoder (VAE) model…”
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On Explainability and Sensor-Adaptability of a Robot Tactile Texture Representation Using a Two-Stage Recurrent Networks by Gao, Ruihan, Tian, Tian, Lin, Zhiping, Wu, Yan

“…The ability to simultaneously distinguish objects, materials, and their associated physical properties is one fundamental function of the sense of touch…”
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