ScaffoldGVAE: scaffold generation and hopping of drug molecules via a variational autoencoder based on multi-view graph neural networks by Chao Hu, Song Li, Chenxing Yang, Jun Chen, Yi Xiong, Guisheng Fan, Hao Liu, Liang Hong

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Separating group- and individual-level brain signatures in the newborn functional connectome: A deep learning approach by Jung-Hoon Kim, Josepheen De Asis-Cruz, Catherine Limperopoulos

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Unsupervised Pre-Training of Imbalanced Data for Identification of Wafer Map Defect Patterns by Ho Sun Shon, Erdenebileg Batbaatar, Wan-Sup Cho, Seong Gon Choi

Subjects: “…convolutional variational autoencoder…”
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GenRadar: Self-Supervised Probabilistic Camera Synthesis Based on Radar Frequencies by Carsten Ditzel, Klaus Dietmayer

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Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands by Taufique Ahmed, Luca Longo

Subjects: “…convolutional variational autoencoder…”
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A Fast Prediction Model of Supercritical Airfoils Based on Deep Operator Network and Variational Autoencoder Considering Physical Constraints by Mengxin Liu, Yunjia Yang, Chenyu Wu, Yufei Zhang

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Experimental Validation of Machine Learning-Based Joint Failure Management and Quality of Transmission Estimation by Lars E. Kruse, Sebastian Kuhl, Annika Dochhan, Stephan Pachnicke

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A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis by Eugene Lin, Sudipto Mukherjee, Sreeram Kannan

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Generative AI for brain image computing and brain network computing: a review by Changwei Gong, Changwei Gong, Changhong Jing, Changhong Jing, Xuhang Chen, Xuhang Chen, Chi Man Pun, Guoli Huang, Ashirbani Saha, Martin Nieuwoudt, Han-Xiong Li, Yong Hu, Shuqiang Wang, Shuqiang Wang

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Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder by Ruimin Ma, Ruitao Xie, Yanlin Wang, Jintao Meng, Yanjie Wei, Yunpeng Cai, Wenhui Xi, Yi Pan

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Exploration of optimal microstructure and mechanical properties in continuous microstructure space using a variational autoencoder by Yongju Kim, Hyung Keun Park, Jaimyun Jung, Peyman Asghari-Rad, Seungchul Lee, Jin You Kim, Hwan Gyo Jung, Hyoung Seop Kim

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Enhancing DRL-based USV navigation with CVAE and gated graph convolutional networks by Deng, Haoyuan

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Out-of-Distribution Data Generation for Fault Detection and Diagnosis in Industrial Systems by Jefkine Kafunah, Priyanka Verma, Muhammad Intizar Ali, John G. Breslin

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Variational Autoencoder-Based Multiobjective Topology Optimization of Electrical Machines Using Vector Graphics by Michael Heroth, Helmut C. Schmid, Magda Gregorova, Rainer Herrler, Wilfried Hofmann

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3D Shape Generation via Variational Autoencoder with Signed Distance Function Relativistic Average Generative Adversarial Network by Ebenezer Akinyemi Ajayi, Kian Ming Lim, Siew-Chin Chong, Chin Poo Lee

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AI-driven music composition: Melody generation using Recurrent Neural Networks and Variational Autoencoders by Hanbing Zhao, Siran Min, Jianwei Fang, Shanshan Bian

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Implications of data topology for deep generative models by Yinzhu Jin, Rory McDaniel, N. Joseph Tatro, Michael J. Catanzaro, Abraham D. Smith, Abraham D. Smith, Paul Bendich, Paul Bendich, Matthew B. Dwyer, P. Thomas Fletcher, P. Thomas Fletcher

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AMS Circuit Design Optimization Technique Based on ANN Regression Model With VAE Structure by Jin-Won Hyun, Jae-Won Nam

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MST-VAE: Multi-Scale Temporal Variational Autoencoder for Anomaly Detection in Multivariate Time Series by Tuan-Anh Pham, Jong-Hoon Lee, Choong-Shik Park

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Anomaly Signal Imputation Using Latent Coordination Relations by Thasorn Chalongvorachai, Kuntpong Woraratpanya

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