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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

Generating robotic emotional body language with variational autoencoders by Marmpena, Mina, Lim, Angelica, Dahl, Torbjorn S., Hemion, Nikolas

“… the variational autoencoder framework…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text

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…”
Get full text