Suchergebnisse - (conditional OR conditioning) variational autoencoder*

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

Volltext

Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy von 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 …”
Volltext

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 …”
Volltext

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 …”
Volltext

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 …”
Volltext

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter von 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 …”
Volltext

Data-driven design exploration method using conditional variational autoencoder for airfoil design von 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 …”
Volltext

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders von 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 …”
Volltext

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 …”
Weitere Angaben

Robust Haze and Thin Cloud Removal via Conditional Variational Autoencoders von 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 …”
Volltext

Masked conditional variational autoencoders for chromosome straightening von 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 …”
Volltext

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 …”
Volltext

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 …”
Volltext

Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders von 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 …”
Volltext

Power Plant Model Parameter Calibration Using Conditional Variational Autoencoder von 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 …”
Volltext

Generalized zero-shot domain adaptation via coupled conditional variational autoencoders von 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 …”
Volltext

Toward Effective Intrusion Detection Using Log-Cosh Conditional Variational Autoencoder von 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 …”
Volltext

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 …”
Volltext

Learning the health index of complex systems using dynamic conditional variational autoencoders von 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 …”
Volltext

Parameter estimation of microlensed gravitational waves with conditional variational autoencoders von Nerin, Roberto Bada, Bulashenko, Oleg, Freitas, Osvaldo Gramaxo, Font, José A.

Volltext