Výsledky vyhledávání - conditioning variational autoencoder*

Towards a robust parameterization for conditioning facies models using deep variational autoencoders and ensemble smoother Autor Canchumuni, Smith W.A., Emerick, Alexandre A., Pacheco, Marco Aurélio C.

“…Ensemble-based methods have been applied with remarkable success for data assimilation in geosciences. However, they sometimes fail to preserve the geological…”
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US Patent Issued to INSILICO MEDICINE IP on May 20 for "Subset conditioning using variational autoencoder with a learnable tensor train induced prior" (Canadian, Emirati Inventors)

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Subset Conditioning Using Variational Autoencoder With a Learnable Tensor Train Induced Prior

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US Patent Issued to INSILICO MEDICINE IP on Feb. 6 for "Subset conditioning using variational autoencoder with a learnable tensor train induced prior" (Russian, Chinese Inventors)

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Variational Autoencoder with Arbitrary Conditioning Autor Ivanov, Oleg, Figurnov, Michael, Vetrov, Dmitry

“…We propose a single neural probabilistic model based on variational autoencoder that can be conditioned on an arbitrary subset of observed features and then sample the remaining features in "one shot…”
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US Patent Issued to INSILICO MEDICINE IP on Feb. 28 for "Subset conditioning using variational autoencoder with a learnable tensor train induced prior" (Russian, American Inventors)

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INTERNATIONAL PATENT: INSILICO MEDICINE, INC. FILES APPLICATION FOR "SUBSET CONDITIONING USING VARIATIONAL AUTOENCODER WITH A LEARNABLE TENSOR TRAIN INDUCED PRIOR"

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ECG Sensor Design Assessment with Variational Autoencoder-Based Digital Watermarking Autor Hsu, Chih-Yu, Chang, Chih-Yin, Chen, Yin-Chi, Wu, Jasper, Chen, Shuo-Tsung

“… circuitry handle these modified signals. A Variational Autoencoder (VAE) framework is employed to generate the watermarked ECG signals, addressing critical concerns in the digital era, such as data security, authenticity, and copyright protection…”
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Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother Autor Canchumuni, Smith W A, Emerick, Alexandre A, Pacheco, Marco Aurélio C

“…The literature about history matching is vast and despite the impressive number of methods proposed and the significant progresses reported in the last decade, conditioning reservoir models to dynamic…”
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Investigation of F0 conditioning and Fully Convolutional Networks in Variational Autoencoder based Voice Conversion Autor 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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Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders Autor 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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Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning Autor Hasan, S. M. Kamrul, Linte, Cristian A.

“…)—to demonstrate the power of a simple combination of a disentanglement block, variational autoencoder (VAE…”
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Machine learning augmented predictive and generative model for rupture life in ferritic and austenitic steels Autor Mamun, Osman, Wenzlick, Madison, Sathanur, Arun, Hawk, Jeffrey, Devanathan, Ram

“… Finally, a variational autoencoder-based generative model was built…”
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Learning conditional variational autoencoders with missing covariates Autor Ramchandran, Siddharth, Tikhonov, Gleb, Lönnroth, Otto, Tiikkainen, Pekka, Lähdesmäki, Harri

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CSCVAE-NID: A Conditionally Symmetric Two-Stage CVAE Framework with Cost-Sensitive Learning for Imbalanced Network Intrusion Detection Autor Wang, Zhenyu, Yu, Xuejun

“…: Firstly, a Data Augmentation Conditional Variational Autoencoder (DA-CVAE) is introduced…”
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Video Variational Deep Atmospheric Turbulence Correction Autor Lopez-Tapia, Santiago, Wang, Xijun, Katsaggelos, Aggelos K.

“… We achieve this objective by conditioning the model on features extracted by a variational autoencoder (VAE…”
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Performance-Based Generative Design for Parametric Modeling of Engineering Structures Using Deep Conditional Generative Models Autor Bucher, Martin Juan José, Kraus, Michael Anton, Rust, Romana, Tang, Siyu

“…Parametric Modeling, Generative Design, and Performance-Based Design have gained increasing attention in the AEC field as a way to create a wide range of…”
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Facial Image Inpainting with Variational Autoencoder Autor Tu, Ching-Ting, Chen, Yi-Fu

“… Given a trained standard Variational Autoencoder (VAE) for un-occluded face generation…”
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Variational Deep Atmospheric Turbulence Correction for Video Autor Lopez-Tapia, Santiago, Wang, Xijun, Katsaggelos, Aggelos K.

“… This is achieved through conditioning the model on features extracted by a 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 Autor 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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