Search Results - (conditional OR conditioning) autoencoder*

Variable Rate Deep Image Compression With a Conditional Autoencoder by Choi, Yoojin, El-Khamy, Mostafa, Lee, Jungwon

“…In this paper, we propose a novel variable-rate learned image compression framework with a conditional autoencoder…”
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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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A conditional masked autoencoder network based on efficient multiple-head self-attention for characterizing heterogeneous reservoirs by Chen, Qiyu, Zhou, Ruihong, Chen, Dajie, Cui, Zhesi, Ma, Xiaogang, Liu, Gang

“… To address the difficulties of conditional simulation and capturing complex multiple-scale spatial patterns in reservoir characterization, we propose a conditional masked autoencoder network…”
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Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy by 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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Entangled Conditional Adversarial Autoencoder for de Novo Drug Discovery by Polykovskiy, Daniil, Zhebrak, Alexander, Vetrov, Dmitry, Ivanenkov, Yan, Aladinskiy, Vladimir, Mamoshina, Polina, Bozdaganyan, Marine, Aliper, Alexander, Zhavoronkov, Alex, Kadurin, Artur

“… In this article, we propose a new generative architecture, entangled conditional adversarial autoencoder, that generates molecular structures based on various properties, such as activity against…”
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Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network by 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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Age Progression/Regression by Conditional Adversarial Autoencoder by Zhifei Zhang, Yang Song, Hairong Qi

“…If I provide you a face image of mine (without telling you the actual age when I took the picture) and a large amount of face images that I crawled (containing…”
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Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT by 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 by 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 by 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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UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders by 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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Data-driven design exploration method using conditional variational autoencoder for airfoil design by 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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Arbitrary conditional inference in variational autoencoders via fast prior network training by 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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Variational Autoencoders for chord sequence generation conditioned on Western harmonic music complexity by Comanducci, Luca, Gioiosa, Davide, Zanoni, Massimiliano, Antonacci, Fabio, Sarti, Augusto

“… A great deal of work has focused on the possibility of conditioning the generation process in order to be able to create music according to human-understandable parameters…”
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MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational Autoencoder by 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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A Conditional Convolutional Autoencoder-Based Method for Monitoring Wind Turbine Blade Breakages by Yang, Luoxiao, Zhang, Zijun

“… This article presents a conditional convolutional autoencoder-based monitoring method, which is of twofold, for identifying wind turbine blade breakages…”
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Robust Haze and Thin Cloud Removal via Conditional Variational Autoencoders by 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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Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders by 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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Generating multivariate load states using a conditional variational autoencoder by 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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Learning the health index of complex systems using dynamic conditional variational autoencoders by 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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