Suchergebnisse - (( conditional variational autoencoder ) OR ( conditioning variational autoencoder ))

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

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Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders von Hemmer, Martin, Klausen, Andreas, Khang, Huynh Van, Robbersmyr, Kjell G., Waag, Tor I.

“… ) health assessment by utilizing the latent representation obtained by variational inference using Variational Autoencoders (VAEs …”
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Generating multiperspective process traces using conditional variational autoencoders von 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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KilonovaNet: Surrogate models of kilonova spectra with conditional variational autoencoders von 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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A balanced mineral prospectivity model of Canadian magmatic Ni (± Cu ± Co ± PGE) sulphide mineral systems using conditional variational autoencoders von Nagasingha, Lahiru M.A., Bérubé, Charles L., Lawley, Christopher J.M.

“… We address the data imbalance challenge in MPM by proposing a novel generative modelling approach using a conditional variational autoencoder (CVAE …”
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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 von 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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Development of a surrogate model to improve the efficiency of groundwater level fluctuation pattern-based hydrologic properties evaluation von 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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Predicting Potent Compounds Using a Conditional Variational Autoencoder Based upon a New Structure–Potency Fingerprint von Janela, Tiago, Takeuchi, Kosuke, Bajorath, Jürgen

“… This encoding enables the derivation of a conditional variational autoencoder (CVAE) using SPFPs of training compounds and apply the model to predict the SPFP potency module of test compounds using only their structure module as input. The SPFP …”
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CSCVAE-NID: A Conditionally Symmetric Two-Stage CVAE Framework with Cost-Sensitive Learning for Imbalanced Network Intrusion Detection von Wang, Zhenyu, Yu, Xuejun

“… : Firstly, a Data Augmentation Conditional Variational Autoencoder (DA-CVAE) is introduced …”
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Arbitrary conditional inference in variational autoencoders via fast prior network training von 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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Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease von Wang, Xuetong, Zhou, Rong, Zhao, Kanhao, Leow, Alex, Zhang, Yu, He, Lifang

“… In this study, we propose a novel normative modeling method by combining conditional variational autoencoder with adversarial learning (ACVAE …”
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Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks von Tibebu, Haileleol, Malik, Aadil, De Silva, Varuna

“… Most existing studies rely either on Generative Adversarial Networks (GANs) or Variational Auto Encoders (VAEs …”
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Cybersecurity enhancement using conditional generative adversarial network with transformer-based conditional variational autoencoder von Singh, Prithvipal, Singh, Sandeep, Singh, Gurupdesh, Singh, Amritpal

“… Since, Artificial Intelligence is highly developing and concatenating into several domains, cybersecurity is an important field of delivering both the …”
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AEGANAuth: Autoencoder GAN-Based Continuous Authentication With Conditional Variational Autoencoder Generative Adversarial Network von Li, Yantao, Ouyang, Caike, Huang, Hongyu

“… In this article, we present AEGANAuth, a lightweight and effective autoencoder GAN (AEGAN)-based continuous Authentication system for mobile devices using conditional variational autoencoder generative adversarial network (CVAEGAN …”
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Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT von 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 von 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 von 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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Fusion U and V: Efficient MRI Sampling via the Fusion of U-net and Conditional Variational Autoencoder von Pershina, Khristina, Huang, Ching Chun

“… Our paper introduces a novel approach, Fusion UandV, which employs a Conditional Variational Autoencoder (cVAE …”
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Generating multivariate load states using a conditional variational autoencoder von 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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MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational Autoencoder von 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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