Výsledky vyhledávání - (conditional OR conditioning) variational autoencoder~

Learning conditional variational autoencoders with missing covariates Autor Ramchandran, Siddharth, Tikhonov, Gleb, Lönnroth, Otto, Tiikkainen, Pekka, Lähdesmäki, Harri

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Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT Autor Lopez-Martin, Manuel, Carro, Belen, Sanchez-Esguevillas, Antonio, Lloret, Jaime

“…The purpose of a Network Intrusion Detection System is to detect intrusive, malicious activities or policy violations in a host or host’s network. In current…”
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Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network Autor Yang, Yanqing, Zheng, Kangfeng, Wu, Chunhua, Yang, Yixian

“… We propose a novel intrusion detection model that combines an improved conditional variational AutoEncoder (ICVAE…”
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Molecular generative model based on conditional variational autoencoder for de novo molecular design Autor Lim, Jaechang, Ryu, Seongok, Kim, Jin Woo, Kim, Woo Youn

“…We propose a molecular generative model based on the conditional variational autoencoder for de novo molecular design…”
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Generating multivariate load states using a conditional variational autoencoder Autor Wang, Chenguang, Sharifnia, Ensieh, Gao, Zhi, Tindemans, Simon H., Palensky, Peter

“… In this paper, a multivariate load state generating model on the basis of a conditional variational autoencoder (CVAE…”
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Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy Autor Gabbard, Hunter, Messenger, Chris, Heng, Ik Siong, Tonolini, Francesco, Murray-Smith, Roderick

“… min on a limited range of key source parameters. Here, we show that a conditional variational autoencoder pretrained on binary black hole signals can return Bayesian…”
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Data-driven design exploration method using conditional variational autoencoder for airfoil design Autor Yonekura, Kazuo, Suzuki, Katsuyuki

“… In the present work, we achieve this goal using a conditional variational autoencoder (CVAE). The method enables us to analyze the relationship between aerodynamic performance and the shape of aerodynamic parts, and to explore new designs for the parts…”
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MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational Autoencoder Autor Lee, Myeonghun, Min, Kyoungmin

“… The performance of the molecular graph conditional variational autoencoder (MGCVAE) for generating molecules with specific desired properties was investigated by comparing it to a molecular graph variational autoencoder (MGVAE…”
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Power Plant Model Parameter Calibration Using Conditional Variational Autoencoder Autor Khazeiynasab, Seyyed Rashid, Zhao, Junbo, Batarseh, Issa, Tan, Bendong

“… Then, synchrophasor measurement-based conditional variational autoencoder is developed to estimate the parameters' posterior distributions even in the presence of a high-dimensional case…”
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Toward Effective Intrusion Detection Using Log-Cosh Conditional Variational Autoencoder Autor Xu, Xing, Li, Jie, Yang, Yang, Shen, Fumin

“… To tackle this problem, in this article, we propose a novel deep learning-based intrusion detection method named log-cosh conditional variational autoencoder (LCVAE…”
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Masked conditional variational autoencoders for chromosome straightening Autor Li, Jingxiong, Zheng, Sunyi, Shui, Zhongyi, Zhang, Shichuan, Yang, Linyi, Sun, Yuxuan, Zhang, Yunlong, Li, Honglin, Ye, Yuanxin, Van Ooijen, Peter M.A., Li, Kang, Yang, Lin

“… To address this issue, we propose a framework for chromosome straightening, which comprises a preliminary processing algorithm and a generative model called masked conditional variational autoencoders (MC-VAE…”
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Sensing anomaly of photovoltaic systems with sequential conditional variational autoencoder Autor Li, Ding, Zhang, Yufei, Yang, Zheng, Jin, Yaohui, Xu, Yanyan

“… This study proposes the Sequential Conditional Variational Autoencoder (SCVAE), which can cope with the sequential impacts of the environment on PV…”
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Analysis of Training and Seed Bias in Small Molecules Generated with a Conditional Graph-Based Variational Autoencoder─Insights for Practical AI-Driven Molecule Generation Autor Kang, Seung-Gu, Morrone, Joseph A, Weber, Jeffrey K, Cornell, Wendy D

“… In this work, we analyze the impact of seed and training bias on the output of an activity-conditioned graph-based variational autoencoder (VAE…”
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KilonovaNet: Surrogate models of kilonova spectra with conditional variational autoencoders Autor Lukošiute, K, Raaijmakers, G, Doctor, Z, Soares-Santos, M, Nord, B

“… In this work, we present kilonovanet, an implementation of conditional variational autoencoders (cVAEs…”
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Rapid Generation of Kilonova Light Curves Using Conditional Variational Autoencoder Autor Saha, Surojit, Williams, Michael J., Datrier, Laurence, Hayes, Fergus, Nicholl, Matt, Kong, Albert K. H., Hendry, Martin, Heng, IK Siong, Lamb, Gavin P., Lin, En-Tzu, Williams, Daniel

“…The discovery of the optical counterpart, along with the gravitational waves (GWs) from GW170817, of the first binary neutron star merger has opened up a new…”
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Semi-Supervised Deep Conditional Variational Autoencoder for Soft Sensor Modeling Autor Tang, Xiaochu, Yan, Jiawei, Li, Yuan, Zhang, Xinmin, Song, Zhihuan

“…Variational autoencoder (VAE) as an unsupervised deep generated model has been widely applied to process modeling for industrial processes due to its excellent ability in nonlinear and uncertain feature extraction…”
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Conditional Generative Flow-Induced Variational Autoencoder for Plasma Instances Augmentation Autor Xu, Yan, Zhu, Qun-Xiong, Ke, Wei, He, Yan-Lin, Zhang, Yang, Zhang, Ming-Qing, Xu, Yuan

“…In this article, we propose a novel conditional generative flow-induced variational autoencoder (CGlow-VAE…”
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Degradation Prediction of Semiconductor Lasers Using Conditional Variational Autoencoder Autor Abdelli, Khouloud, Grieser, Helmut, Neumeyr, Christian, Hohenleitner, Robert, Pachnicke, Stephan

“…Semiconductor lasers have been rapidly evolving to meet the demands of next-generation optical networks. This imposes much more stringent requirements on the…”
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ICVAE: Interpretable Conditional Variational Autoencoder for De Novo Molecular Design Autor Fan, Xiaqiong, Fang, Senlin, Li, Zhengyan, Ji, Hongchao, Yue, Minghan, Li, Jiamin, Ren, Xiaozhen

“… Among them, Conditional Variational Autoencoder (CVAE) is a powerful approach to generate molecules with desired physiochemical and pharmacological properties. However…”
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Asset Pricing via the Conditional Quantile Variational Autoencoder Autor Yang, Xuanling, Zhu, Zhoufan, Li, Dong, Zhu, Ke

“… To study conditional quantiles of the return, we propose a new conditional quantile variational autoencoder (CQVAE) network…”
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