Výsledky vyhledávání - Generative autoencoder

A novel spatial–temporal generative autoencoder for wind speed uncertainty forecasting Autor Ma, Long, Huang, Ling, Shi, Huifeng

“…–temporal generative autoencoder (STGAE) model to capture the continuous probability distribution of each wind turbine on an arbitrary graph structure…”
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Dual Contradistinctive Generative Autoencoder Autor Parmar, Gaurav, Li, Dacheng, Lee, Kwonjoon, Tu, Zhuowen

“…We present a new generative autoencoder model with dual contradistinctive losses to improve generative autoencoder that performs simultaneous inference (reconstruction) and synthesis (sampling…”
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Deep Mixture Generative Autoencoders Autor Ye, Fei, Bors, Adrian G.

“…Variational autoencoders (VAEs) are one of the most popular unsupervised generative models that rely on learning latent representations of data…”
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Application of Generative Autoencoder in De Novo Molecular Design Autor Blaschke, Thomas, Olivecrona, Marcus, Engkvist, Ola, Bajorath, Jürgen, Chen, Hongming

“… Various generative autoencoders were used to map molecule structures into a continuous latent space and vice versa and their performance as structure generator was assessed…”
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Real-Time Traffic Speed Estimation With Graph Convolutional Generative Autoencoder Autor Yu, James Jian Qiao, Gu, Jiatao

“… In this paper, we present a novel deep-learning model called graph convolutional generative autoencoder to fully address the real-time traffic speed estimation problem…”
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Spatio‐Temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks Autor Cheng, Meiling, Fang, Fangxin, Navon, Ionel M., Zheng, Jie, Tang, Xiao, Zhu, Jiang, Pain, Christopher

“…‐scale numerical simulations. In this work, we introduce a hybrid model (VAE‐GAN) combining a generative adversarial network (GAN…”
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AEGAN: Generating imperceptible face synthesis via autoencoder‐based generative adversarial network Autor Che, Aolin, Yang, Jing‐Hua, Guo, Cai, Dai, Hong‐Ning, Xie, Haoran, Li, Ping

“… Specifically, we design a generative adversarial network (GAN) framework with an autoencoder (AEGAN…”
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Batch Size Reconstruction-Distribution Trade-Off In Kernel Based Generative Autoencoders Autor Knop, Szymon, Spurek, Przemyslaw, Mazur, Marcin, Tabor, Jacek, Podolak, Igor

“…Most autoencoder-based generative machine learning models use a two-factor cost function composed of reconstruction error and prior distribution distance…”
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Lifelong Generative Adversarial Autoencoder Autor Ye, Fei, Bors, Adrian G.

“… One approach in lifelong learning is the generative replay mechanism (GRM) that trains…”
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AEGANAuth: Autoencoder GAN-Based Continuous Authentication With Conditional Variational Autoencoder Generative Adversarial Network Autor Li, Yantao, Ouyang, Caike, Huang, Hongyu

“… In this article, we present AEGANAuth, a lightweight and effective autoencoder GAN (AEGAN)-based continuous Authentication system for mobile devices using conditional variational autoencoder generative adversarial network (CVAEGAN…”
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The shape variational autoencoder: A deep generative model of part‐segmented 3D objects Autor Nash, C., Williams, C. K. I.

“…We introduce a generative model of part‐segmented 3D objects: the shape variational auto‐encoder (ShapeVAE…”
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Generative autoencoder to prevent overregularization of variational autoencoder Autor Ko, YoungMin, Ko, SunWoo, Kim, YoungSoo

“… it. The variational autoencoder is a generative model that performs variational inference to estimate a low…”
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Semisupervised Generative Autoencoder for Single-Cell Data Autor Trong, Trung Ngo, Mehtonen, Juha, González, Gerardo, Kramer, Roger, Hautamäki, Ville, Heinäniemi, Merja

“… process, thus forming a SemI-SUpervised generative Autoencoder (SISUA) model. The generative model is based on the deep variational autoencoder (VAE…”
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Evolutionary design of conductive pathways using a generative autoencoder Autor Ignuta-Ciuncanu, Matei C., Stärk, Hannes, Martinez-Botas, Ricardo F.

“… In contrast, our approach integrates topology optimization, constructal theory, and bio-inspired principles via a generative model that couples a variational autoencoder with evolutionary algorithms…”
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Generative autoencoder to prevent overregularization of variational autoencoder Autor YoungMin Ko, SunWoo Ko, YoungSoo Kim

“… it. The variational autoencoder is a generative model that performs variational inference to estimate a low-dimensional posterior distribution given high-dimensional data…”
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Quantized Generative Autoencoder for Audio Spectrograms Autor Cebedio, M. Celeste, Rabioglio, Lucas A., Micco, Luciana De

“…This study analyzes techniques for compressing generative autoencoders to enable their deployment on resource-constrained devices, addressing the challenges and optimizations required for such environments…”
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Predicting anatomical variations in radiotherapy with a vector quantized variational autoencoder generative model Autor Zou, Yue, Li, Zhenhao, Zhang, Menghan, Li, Ziwei, Yin, Xiaojie, Yang, Long, Hu, Weigang, Wang, Jiazhou

“… Predicting these changes may benefit adaptive radiotherapy (ART) in nasopharyngeal cancer. Purpose This study proposes a vector quantized variational autoencoder (VQ‐VAE…”
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Prior Images Guided Generative Autoencoder Model for Dual-Camera Compressive Spectral Imaging Autor Chen, Yurong, Wang, Yaonan, Zhang, Hui

“…Compressive Spectral Imaging (CSI) techniques have attracted considerable attention among researchers for their ability to simultaneously capture spatial and…”
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Marginal region-integrated regressive conditional variational autoencoder-generative adversarial network: A soft sensing enhancement method Autor Liu, Guo-yu, Zhu, Qun-Xiong, Luo, Yi, Ke, Wei, He, Yan-Lin, Zhang, Yang, Zhang, Ming-Qing, Xu, Yuan

“…, ultimately affecting the fitting performance of soft sensing models. To address this challenge, we propose a marginal Isolation Mega Trend Diffusion with Regressor Conditional Variational Autoencoder-Generative Adversarial Network (IRCVGAN…”
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Credit Card Fraud Detection Based on Improved Variational Autoencoder Generative Adversarial Network Autor Ding, Yuanming, Kang, Wei, Feng, Jianxin, Peng, Bo, Yang, Anna

“… However, oversampling still has disadvantages. Hence, we improve the generator part of the Variational Autoencoder Generative Adversarial Network (VAEGAN…”
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