Search Results - (( conditional variational autoencoder（cae） ) OR ( conditioning variational autoencoder（cvae） ))*

조건부 생성모델을 이용한 강수 패턴에 따른 지하수위 생성 및 이의 활용에 관한 연구 by 정지호(Jiho Jeong), 정진아(Jina Jeong), 이병선(Byung Sun Lee), 송성호(Sung-Ho Song)

“… of the regression model. To solve the above problem, a process for generating the GWL fluctuation pattern for conditioning the precipitation is proposed…”
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The Applicability of Conditional Generative Model Generating Groundwater Level Fluctuation Corresponding to Precipitation Pattern by Jeong, Jiho, Jeong, Jina, Lee, Byung Sun, Song, Sung-Ho

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Fusion U and V: Efficient MRI Sampling via the Fusion of U-net and Conditional Variational Autoencoder by Pershina, Khristina, Huang, Ching Chun

“… Our paper introduces a novel approach, Fusion UandV, which employs a Conditional Variational Autoencoder (cVAE…”
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Development of a surrogate model to improve the efficiency of groundwater level fluctuation pattern-based hydrologic properties evaluation by Jeong, Jiho, Jeong, Jina

“…•The feature extraction was based on a conditional variational autoencoder.•The uncertainty due to different precipitation patterns was reduced…”
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Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction by Sang, Yuling, Banerjee, Abhirup, Beetz, Marcel, Grau, Vicente

“… We propose a conditional Variational Autoencoder (cVAE) framework to generate realistic, subject-specific 12-lead ECGs…”
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Fast Prediction of Airfoil Aerodynamic Characteristics Based on a Combined Autoencoder by Wang, Xu, Qian, Weiqi, Zhao, Tun, He, Lei, Chen, Hai, Sun, Haisheng, Tian, Yuan, Cui, Jinlei

“… To solve these problems, a combined autoencoder (CAE) network is proposed in this paper, which can achieve the fast prediction of airfoil aerodynamic coefficients and pressure distributions…”
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Generating multiperspective process traces using conditional variational autoencoders by Graziosi, Riccardo, Ronzani, Massimiliano, Buliga, Andrei, Di Francescomarino, Chiara, Folino, Francesco, Ghidini, Chiara, Meneghello, Francesca, Pontieri, Luigi

“…In recent years, trace generation has emerged as a significant challenge within the Process Mining community. Deep Learning (DL) models have demonstrated…”
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F0-Consistent Many-To-Many Non-Parallel Voice Conversion Via Conditional Autoencoder by Qian, Kaizhi, Jin, Zeyu, Hasegawa-Johnson, Mark, Mysore, Gautham J.

“… Recently, AU-TOVC, a conditional autoencoders (CAEs) based method achieved state-of-the-art results by disentangling the speaker identity and speech content using…”
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Framing the Sequence: Genre-Aligned Photo Curation via Shot-Scale Embedding by Park, Youngsup, Lim, Yangmi, Kang, Dongwann

“…) a conditional variational autoencoder (cVAE) for embedding temporal shot rhythms conditioned on genre, and (3…”
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Class-Conditioned Variational Autoencoder with Evolutionary Optimization for the Virtual Data Generation Challenge by Tachioka, Yuuki

“… To address this issue, we propose a novel data augmentation framework using conditional variational autoencoders (CVAE…”
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Learning conditional variational autoencoders with missing covariates by Ramchandran, Siddharth, Tikhonov, Gleb, Lönnroth, Otto, Tiikkainen, Pekka, Lähdesmäki, Harri

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Application of conditional generative model for sonic log estimation considering measurement uncertainty by Jeong, Jina, Park, Eungyu, Emelyanova, Irina, Pervukhina, Marina, Esteban, Lionel, Yun, Seong-Taek

“… The developed method is based on the conditional variational autoencoder (CVAE) and effectively considers uncertainty associated with the variability of the measured data…”
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Inverse structural design with generative and probabilistic autoencoders and diffusion models by Zhuang, Bozhou, Gallet, Adrien, Smyl, Danny

“… Three generative ML models, including conditional variational autoencoder (CVAE), conditional autoencoder with maximum likelihood estimation (CAE-MLE…”
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Trust-Act: Integrating Trust in Imitation Learning by Lingg, Nico, Demiris, Yiannis

“… In this paper, we present Trust-Act, a framework that integrates trust labels into a conditional variational autoencoder (CVAE…”
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Style Conditioned Recommendations by Iqbal, Murium, Aryafar, Kamelia, Anderton, Timothy

“… We use Conditional Variational Autoencoder (CVAE) architecture, where both the encoder and decoder are conditioned on a user profile learned from item content data…”
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CSCVAE-NID: A Conditionally Symmetric Two-Stage CVAE Framework with Cost-Sensitive Learning for Imbalanced Network Intrusion Detection by Wang, Zhenyu, Yu, Xuejun

“…: Firstly, a Data Augmentation Conditional Variational Autoencoder (DA-CVAE) is introduced…”
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SurpriseNet: Melody Harmonization Conditioning on User-controlled Surprise Contours by Yi-Wei, Chen, Hung-Shin, Lee, Yen-Hsing, Chen, Wang, Hsin-Min

“… Based on this, we propose a user-controllable framework that uses a conditional variational autoencoder (CVAE…”
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Contextually Plausible and Diverse 3D Human Motion Prediction by Aliakbarian, Sadegh, Fatemeh Sadat Saleh, Petersson, Lars, Gould, Stephen, Salzmann, Mathieu

“… In this context, a popular approach consists of using a Conditional Variational Autoencoder (CVAE). However, existing approaches that do so either fail to capture…”
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Balancing Exploration and Exploitation: Disentangled \(\beta\)-CVAE in De Novo Drug Design by Guang Jun Nicholas Ang, De Tao Irwin Chin, Shen, Bingquan

“… In this respect, deep generative conditional variational autoencoder (CVAE) models are a powerful approach for generating novel molecules with desired drug-like properties…”
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Unknown Cyber Threat Discovery Empowered by Genetic Evolution Without Prior Knowledge by Fang, Wenbo, He, Junjiang, Li, Wenshan, Ma, Wengang, Zhang, Linlin, Lan, Xiaolong, Yang, Geying, Chen, Jiangchuan, Li, Tao

“…With the continuous development of cyber-attack technologies, attackers increasingly exploit zero-day vulnerabilities or leverage emerging techniques to launch…”
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