Search Results - improved conditioning variational autoencoder~

Self-supervised Variational Autoencoder for Unsupervised Object Counting from Very High-Resolution Satellite Imagery: Applications in Dwelling Extraction in FDP Settlement Areas by Gella, Getachew Workineh, Gangloff, Hugo, Wendt, Lorenz, Tiede, Dirk, Lang, Stefan

“… This constrains their utility in humanitarian emergency response. To overcome this problem, we have proposed an unsupervised dwelling counting from very high-resolution satellite imagery by combining a Variational Autoencoder(VAE…”
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Chiller fault diagnosis based on improved variational autoencoder and co-training framework: A case study of insufficient samples by Lu, Cheng, Ma, Xiang, Yan, Ke

“… This paper proposes a method based on an improved conditional variational autoencoder (MCVAE) and co-training (CT) ideology to address the issue of insufficient training samples…”
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Development of a surrogate model to improve the efficiency of groundwater level fluctuation pattern-based hydrologic properties evaluation by 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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Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection by Xie, Qin, Zhang, Peng, Yu, Boseon, Choi, Jaesik

“…Abnormal behaviors in industrial systems may be early warnings on critical events that may cause severe damages to facilities and security. Thus, it is…”
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Integration of Deep Learning‐Based Inversion and Upscaled Mass‐Transfer Model for DNAPL Mass‐Discharge Estimation and Uncertainty Assessment by Kang, Xueyuan, Kokkinaki, Amalia, Shi, Xiaoqing, Yoon, Hongkyu, Lee, Jonghyun, Kitanidis, Peter K., Wu, Jichun

“…The challenges posed by high‐resolution characterization of dense nonaqueous phase liquid (DNAPL) source zone architecture (SZA) have motivated the development…”
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Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction by Sang, Yuling, Banerjee, Abhirup, Beetz, Marcel, Grau, Vicente

“… We propose a conditional Variational Autoencoder (cVAE) framework to generate realistic, subject-specific 12-lead ECGs…”
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Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion by Wen-Chin, Huang, Yi-Chiao, Wu, Chen-Chou, Lo, Tobing, Patrick Lumban, Hayashi, Tomoki, Kobayashi, Kazuhiro, Toda, Tomoki, Tsao, Yu, Wang, Hsin-Min

“…In this work, we investigate the effectiveness of two techniques for improving variational autoencoder (VAE…”
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Hierarchical and Multi-Scale Variational Autoencoder for Diverse and Natural Non-Autoregressive Text-to-Speech by Jae-Sung Bae, Yang, Jinhyeok, Tae-Jun Bak, Young-Sun, Joo

“…This paper proposes a hierarchical and multi-scale variational autoencoder-based non-autoregressive text-to-speech model (HiMuV-TTS…”
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Harnessing Generative Deep Learning for Enhanced Ensemble Data Assimilation by Foroumandi, Ehsan, Moradkhani, Hamid

“…‐based autoencoders, and deep generative modeling to perform DA in a unified latent space and finally a resampling…”
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Improved Variational Autoencoders for Text Modeling using Dilated Convolutions by Yang, Zichao, Hu, Zhiting, Salakhutdinov, Ruslan, Berg-Kirkpatrick, Taylor

“…Recent work on generative modeling of text has found that variational auto-encoders (VAE…”
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Invariant Representations from Adversarially Censored Autoencoders by Wang, Ye, Koike-Akino, Toshiaki, Erdogmus, Deniz

“…We combine conditional variational autoencoders (VAE) with adversarial censoring in order to learn invariant representations that are disentangled from nuisance/sensitive variations…”
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Enhanced Realism in Virtual Try-On Tasks Using Diffusion Methods by Kiattithapanayong, Saris, Phoomvuthisarn, Suronapee

“… Our approach integrates Vector Quantized Variational Autoencoders (VQ-VAEs) for precise feature matching within a diffusion U-Net architecture…”
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Framing the Sequence: Genre-Aligned Photo Curation via Shot-Scale Embedding by Park, Youngsup, Lim, Yangmi, Kang, Dongwann

“…) a conditional variational autoencoder (cVAE) for embedding temporal shot rhythms conditioned on genre, and (3…”
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Multimodal image synthesis based on disentanglement representations of anatomical and modality specific features, learned using uncooperative relativistic GAN by Reaungamornrat, Sureerat, Sari, Hasan, Catana, Ciprian, Kamen, Ali

“… minimization of the objective function and sparsify gradients, which, in turn, could improve ill-conditioning and training stability…”
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Diffusion models for multivariate subsurface generation and efficient probabilistic inversion by Miele, Roberto, Linde, Niklas

“… We first demonstrate that diffusion models enhance multivariate modeling capabilities compared to variational autoencoders and generative adversarial networks…”
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An innovative model integrating dual-channel graph attention network and multi-task learning for building energy consumption anomaly detection by Tian, Chongyi, Liu, Qiang, Tian, Changbin, Ma, Xin, Kong, Weizheng

“…•Dual-channel GAT jointly models multivariate couplings and temporal dependencies.•Anomaly score based on dynamically weighted prediction and…”
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조건부 생성모델을 이용한 강수 패턴에 따른 지하수위 생성 및 이의 활용에 관한 연구 by 정지호(Jiho Jeong), 정진아(Jina Jeong), 이병선(Byung Sun Lee), 송성호(Sung-Ho Song)

“…). In their study, low-dimensional features of the annual groundwater level (GWL) fluctuation patterns extracted based on a Denoising autoencoder (DAE…”
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Latent space conditioning for improved classification and anomaly detection by Norlander, Erik, Sopasakis, Alexandros

“…We propose a new type of variational autoencoder to perform improved pre-processing for clustering and anomaly detection on data with a given label…”
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Generative Models for Improved Naturalness, Intelligibility, and Voicing of Whispered Speech by Wagner, Dominik, Bayerl, Sebastian P., Maruri, Hector A. Cordourier, Bocklet, Tobias

“… We incorporate the normal target speech into the training criterion of vector-quantized variational autoencoders (VQ-VAEs…”
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The Applicability of Conditional Generative Model Generating Groundwater Level Fluctuation Corresponding to Precipitation Pattern by Jeong, Jiho, Jeong, Jina, Lee, Byung Sun, Song, Sung-Ho

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