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.

“…Neural networks play a growing role in many scientific disciplines, including physics. Variational autoencoders (VAEs) are neural networks that are able to…”
Získať plný text

Scalable Variational Quantum Circuits for Autoencoder-based Drug Discovery Autor Li, Junde, Ghosh, Swaroop

“…The de novo design of drug molecules is recognized as a time-consuming and costly process, and computational approaches have been applied in each stage of the…”
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

Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder Autor Melechovsky, Jan, Mehrish, Ambuj, Sisman, Berrak, Herremans, Dorien

“…Accent plays a significant role in speech communication, influencing one's capability to understand as well as conveying a person's identity. This paper…”
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

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

Posterior Collapse in Variational Gradient Origin Networks Autor Clapham, Peter, Grzes, Marek

“…Posterior collapse is a phenomenon that occurs when the posterior distribution degenerates to the prior, leading to a decline in the quality of latent…”
Získať plný text

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

“…Data generation strategies are essential for addressing the challenge of limited training data in deep learning-based medical image analysis, particularly for…”
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

Unsupervised Hybrid Deep Generative Models for Photovoltaic Synthetic Data Generation Autor Rosa de Jesus, Dan A., Mandal, Paras, Senjyu, Tomonobu, Kamalasadan, Sukumar

“…This paper contributes to the field of deep generative learning applied to solar photovoltaic (PV) synthetic data generation problems by exploring Deep…”
Získať plný text

Structural relational inference actor-critic for multi-agent reinforcement learning Autor Zhang, Xianjie, Liu, Yu, Xu, Xiujuan, Huang, Qiong, Mao, Hangyu, Carie, Anil

“…•A novel MARL algorithm involving the interaction relationship between agents.•This algorithm is based on centralized training and decentralized execution.•We…”
Získať plný text

Context-aware seq2seq translation model for sequential recommendation Autor Sun, Ke, Qian, Tieyun, Chen, Xu, Zhong, Ming

“…Context information, such as product category, plays a vital role in sequential recommendations. Recently, there has been a growing interest in context-aware…”
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

HEXA-GAN: Skin lesion image inpainting via hexagonal sampling based generative adversarial network Autor Bansal, Nidhi, Sridhar, S.

Získať plný text

A process monitoring and fault isolation framework based on variational autoencoders and branch and bound method Autor Tang, Peng, Peng, Kaixiang, Jiao, Ruihua

“…Nonlinear characteristic widely exists in industrial processes. Many approaches based on kernel methods and machine learning have been developed for nonlinear…”
Získať plný text

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

“…Humanoid robots in social environments can become more engaging by using their embodiment to display emotional body language. For such expressions to be…”
Získať plný text

Incomplete Multi-View Multi-Label Learning via Disentangled Representation and Label Semantic Embedding Autor Yan, Xu, Yin, Jun, Wen, Jie

“… To address this problem, in this paper, we propose a method that can separate view-consistent features from view-specific features under the Variational Autoen-coder (VAE) framework…”
Získať plný text

基于生成式人工智能的眼动样本生成及识别 Autor 谭雪青, 宋军, 张慢慢, 臧传丽

“…TP391.4%B842.5; 目的 生成式和传统人工智能模型是信息时代的关键工具.在这些技术的助力下,眼动过程的样本生成与识别显得尤为关键,它已成为深入研究认知机制的重要手段.为了推动生成式人工智能在眼动技术领域的应用发展,解决眼动样本生成及因网络深度增加而导致的不透明性和不可解释性问题,并深入挖掘与幼儿语言发展相关的眼动数据,方法 采集4～6岁幼儿理解不同焦点结构的眼动数据,采用生成式人工智能模型-变分自编码器(variational autoen-coder,VAE…”
Získať plný text