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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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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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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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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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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Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter Autor Jiao, Ruihua, Peng, Kaixiang, Dong, Jie

“… In this article, a novel PF framework based on conditional variational autoencoder (CVAE) and a reweighting strategy is proposed to predict the RUL of batteries…”
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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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UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders Autor Zhang, Jing, Fan, Deng-Ping, Dai, Yuchao, Anwar, Saeed, Saleh, Fatemeh Sadat, Zhang, Tong, Barnes, Nick

“… Inspired by the saliency data labeling process, we propose probabilistic RGB-D saliency detection network via conditional variational autoencoders to model human annotation uncertainty and generate…”
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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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Robust Haze and Thin Cloud Removal via Conditional Variational Autoencoders Autor Ding, Haidong, Xie, Fengying, Qiu, Linwei, Zhang, Xiaozhe, Shi, Zhenwei

“… In this article, we present a novel algorithm for haze and thin cloud removal using conditional variational autoencoders (CVAEs…”
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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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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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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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Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders Autor Li, Jing, Kang, Di, Pei, Wenjie, Zhe, Xuefei, Zhang, Ying, He, Zhenyu, Bao, Linchao

“… In order to over-come this problem, we propose a novel conditional variational autoencoder (VAE…”
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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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Generalized zero-shot domain adaptation via coupled conditional variational autoencoders Autor Wang, Qian, Breckon, Toby P.

“…Domain adaptation aims to exploit useful information from the source domain where annotated training data are easier to obtain to address a learning problem in…”
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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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Arbitrary conditional inference in variational autoencoders via fast prior network training Autor Wu, Ga, Domke, Justin, Sanner, Scott

“…Variational Autoencoders (VAEs) are a popular generative model, but one in which conditional inference can be challenging…”
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Learning the health index of complex systems using dynamic conditional variational autoencoders Autor Wei, Yupeng, Wu, Dazhong, Terpenny, Janis

“…Recent advances in sensing technologies have enabled engineers to collect big data to predict the remaining useful life (RUL) of complex systems. Current…”
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Parameter estimation of microlensed gravitational waves with conditional variational autoencoders Autor Nerin, Roberto Bada, Bulashenko, Oleg, Freitas, Osvaldo Gramaxo, Font, José A.

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