Search Results - (conditional OR conditioning) autoencoder

Autoencoder asset pricing models by Gu, Shihao, Kelly, Bryan, Xiu, Dacheng

“…We propose a new latent factor conditional asset pricing model. Like Kelly, Pruitt, and Su (KPS, 2019…”
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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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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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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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Learning conditional variational autoencoders with missing covariates by Ramchandran, Siddharth, Tikhonov, Gleb, Lönnroth, Otto, Tiikkainen, Pekka, Lähdesmäki, Harri

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Conditional Generative Denoising Autoencoder by Karatsiolis, Savvas, Schizas, Christos N.

“…We present a generative denoising autoencoder model that has an embedded data classifier in its architecture in order to take advantage of class-based discriminating features and produce better data samples…”
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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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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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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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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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Intra-Frame Coding Using a Conditional Autoencoder by Brand, Fabian, Seiler, Jurgen, Kaup, Andre

“… Using the conditional autoencoder structure, we are able to train a single artificial neural network which is able to perform multi-mode prediction…”
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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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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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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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Power Plant Model Parameter Calibration Using Conditional Variational Autoencoder by 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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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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Toward Effective Intrusion Detection Using Log-Cosh Conditional Variational Autoencoder by 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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Deep generative models of gravitational waveforms via conditional autoencoder by Liao, Chung-Hao, Lin, Feng-Li

“…We construct few deep generative models of gravitational waveforms based on the semisupervising scheme of conditional autoencoders and its variational extensions…”
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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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Sensing anomaly of photovoltaic systems with sequential conditional variational autoencoder by 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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