Výsledky vyhľadávania - Variational Autoen-coder*

Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems Autor 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…”
Získať plný text

Probabilistic Autoencoder Using Fisher Information Autor 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…”
Získať plný text

Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery Autor 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…”
Získať plný text

Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization Autor 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…”
Získať plný text

Posterior Collapse in Variational Gradient Origin Networks Autor 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…”
Získať plný text

Exploring deep generative models for improved data generation in hypertrophic cardiomyopathy Autor Rayavarapu, Swarajya Madhuri, Rao, Gottapu Sasibhushana

“… This study evaluates several generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs…”
Získať plný text

Unsupervised Hybrid Deep Generative Models for Photovoltaic Synthetic Data Generation Autor 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…”
Získať plný text

Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder Autor 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…”
Získať plný text

Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference Autor 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…”
Získať plný text

Task-Oriented Connectivity for Networked Robotics with Generative AI and Semantic Communications Autor Li, Peizheng, Aijaz, Adnan

“…The convergence of robotics, advanced communication networks, and artificial intelligence (AI) holds the promise of transforming industries through fully…”
Získať plný text

A decision support system for online predictive maintenance of distribution transformers Autor 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…”
Získať plný text

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

“… the variational autoencoder framework…”
Získať plný text

Deep Learning Anomaly Detection methods to passively detect COVID-19 from Audio Autor 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…”
Získať plný text

Graph Embedding For Link Prediction Using Residual Variational Graph Autoencoders Autor 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…”
Získať plný text

Generating Diverse and Natural 3D Human Motions from Text Autor 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…”
Získať plný text

Predictive Coding with Topographic Variational Autoencoders Autor 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…”
Získať plný text

Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement Autor Carbajal, Guillaume, Richter, Julius, Gerkmann, Timo

“… Variational autoen-coders have then been conditioned on a label describing a high-level speech attribute (e.g. speech activity…”
Získať plný text

On Explainability and Sensor-Adaptability of a Robot Tactile Texture Representation Using a Two-Stage Recurrent Networks Autor 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…”
Získať plný text

Magnetotelluric Data Inversion Using Subdomain Encoding Scheme with Variational Autoencoder Autor Zhou, Hongyu, Guo, Rui, Li, Maokun, Yang, Fan, Xu, Shenheng, Abubakar, Aria

“…A 2D inversion scheme based on variational autoen-coder (VAE) is applied to magnetotelluric (MT) data inversion…”
Získať plný text

Learning-based Adaptive Sampling for Manipulator Motion Planning Autor Gaebert, Carl, Thomas, Ulrike

“…Fast generation of optimized robot motions is crucial for achieving fluent cooperation in shared workspaces. Established sampling-based motion planning…”
Získať plný text