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Towards a robust parameterization for conditioning facies models using deep variational autoencoders and ensemble smoother by 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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Variational Autoencoder with Arbitrary Conditioning by 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 May 20 for "Subset conditioning using variational autoencoder with a learnable tensor train induced prior" (Canadian, Emirati Inventors)

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ECG Sensor Design Assessment with Variational Autoencoder-Based Digital Watermarking by 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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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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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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Towards a Robust Parameterization for Conditioning Facies Models Using Deep Variational Autoencoders and Ensemble Smoother by 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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Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders by 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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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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Learning conditional variational autoencoders with missing covariates by Ramchandran, Siddharth, Tikhonov, Gleb, Lönnroth, Otto, Tiikkainen, Pekka, Lähdesmäki, Harri

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Learning Deep Representations of Cardiac Structures for 4D Cine MRI Image Segmentation through Semi-Supervised Learning by 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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CSCVAE-NID: A Conditionally Symmetric Two-Stage CVAE Framework with Cost-Sensitive Learning for Imbalanced Network Intrusion Detection by Wang, Zhenyu, Yu, Xuejun

“…: Firstly, a Data Augmentation Conditional Variational Autoencoder (DA-CVAE) is introduced…”
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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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Generation of whole building renovation scenarios using variational autoencoders by Sharif, Seyed Amirhosain, Hammad, Amin, Eshraghi, Pegah

“…•Proposed dimensionality reduction semi-supervised Variational Autoencoders (VAEs).•VAEs can generate scenarios for all building renovation considering TEC and LCC…”
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Variational autoencoder enhanced analysis of energy metabolism and autophagy in exercising cardiomyocytes by Chen, Liquan, Yang, Yun

“… This study utilized the variational autoencoder (VAE) model to reveal the characteristic distribution of myocardial cell energy autophagy under different exercise conditions…”
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Performance-Based Generative Design for Parametric Modeling of Engineering Structures Using Deep Conditional Generative Models by 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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Machine learning augmented predictive and generative model for rupture life in ferritic and austenitic steels by Mamun, Osman, Wenzlick, Madison, Sathanur, Arun, Hawk, Jeffrey, Devanathan, Ram

“… Finally, a variational autoencoder-based generative model was built…”
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A Variational Graph Autoencoder Aided Canonical Correlation Analysis-Based Online Abnormal Patterns Detection Method for Buildings HVAC Systems by Pan, Xiaogang, Deng, Qiao, Jiao, Yuanyuan, Chen, Zhiwen

“…Heating, Ventilation, and Air Conditioning (HVAC) systems have become essential components of contemporary life, extensively employed in commercial and residential settings to ensure environmental comfort…”
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