An Effective Pipeline for Training Variational Autoencoders for Synthesizable and Optimized Molecular Design by Fardeen H. Mozumder, Byung-Jun Yoon

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From Single Shot to Structure: End-to-End Network-Based Deflectometry for Specular Free-Form Surface Reconstruction by M.Hadi Sepanj, Saed Moradi, Amir Nazemi, Claire Preston, Anthony M. D. Lee, Paul Fieguth

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Anomaly Detection Based on Graph Convolutional Network–Variational Autoencoder Model Using Time-Series Vibration and Current Data by Seung-Hwan Choi, Dawn An, Inho Lee, Suwoong Lee

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An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection by Faleh Alshameri, Ran Xia

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Quantifying the spatial patterns of retinal ganglion cell loss and progression in optic neuropathy by applying a deep learning variational autoencoder approach to optical coherence... by Jui-Kai Wang, Jui-Kai Wang, Brett A. Johnson, Zhi Chen, Zhi Chen, Honghai Zhang, Honghai Zhang, David Szanto, Brian Woods, Brian Woods, Michael Wall, Young H. Kwon, Young H. Kwon, Edward F. Linton, Edward F. Linton, Andrew Pouw, Mark J. Kupersmith, Mark J. Kupersmith, Mark J. Kupersmith, Mona K. Garvin, Mona K. Garvin, Mona K. Garvin, Mona K. Garvin, Randy H. Kardon, Randy H. Kardon

Subjects: “…variational autoencoder (VAE)…”
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Fusing Algorithms for Intersection of Computer Science and Art: Innovations in Generative Art and Interactive Digital Installations by Jingpeng Xie, Miaomiao Yu, Guangliang Liu

Subjects: “…Variational autoencoders (VAEs)…”
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A systematic review of deep learning chemical language models in recent era by Hector Flores-Hernandez, Emmanuel Martinez-Ledesma

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