Understanding precipitation changes through unsupervised machine learning by Griffin Mooers, Tom Beucler, Mike Pritchard, Stephan Mandt

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Disease-specific resting-state EEG network variations in schizophrenia revealed by the contrastive machine learning by Fali Li, Guangying Wang, Lin Jiang, Dezhong Yao, Peng Xu, Xuntai Ma, Debo Dong, Baoming He

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Solving deep-learning density functional theory via variational autoencoders by Emanuele Costa, Giuseppe Scriva, Sebastiano Pilati

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An Overview of Variational Autoencoders for Source Separation, Finance, and Bio-Signal Applications by Aman Singh, Tokunbo Ogunfunmi

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Flow-based parameterization for DAG and feature discovery in scientific multimodal data by Elise Walker, Jonas A. Actor, Carianne Martinez, Carianne Martinez, Nathaniel Trask

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Introducing an Artificial Neural Network for Virtually Increasing the Sample Size of Bioequivalence Studies by Dimitris Papadopoulos, Vangelis D. Karalis

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Voxel-Based 3D Object Reconstruction from Single 2D Image Using Variational Autoencoders by Rohan Tahir, Allah Bux Sargano, Zulfiqar Habib

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An Artificial Intelligence-Based Automatic Classifier for the Presence of False Lumen Thrombosis After Frozen Elephant Trunk Operation by Anja Osswald, Konstantinos Tsagakis, Matthias Thielmann, Alan B. Lumsden, Arjang Ruhparwar, Christof Karmonik

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Deep learning for the harmonization of structural MRI scans: a survey by Soolmaz Abbasi, Haoyu Lan, Jeiran Choupan, Nasim Sheikh-Bahaei, Gaurav Pandey, Bino Varghese

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Conditional Variational Autoencoder for Functional Connectivity Analysis of Autism Spectrum Disorder Functional Magnetic Resonance Imaging Data: A Comparative Study by Mariia Sidulova, Chung Hyuk Park

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This Intestine Does Not Exist: Multiscale Residual Variational Autoencoder for Realistic Wireless Capsule Endoscopy Image Generation by Dimitrios E. Diamantis, Panagiota Gatoula, Anastasios Koulaouzidis, Dimitris K. Iakovidis

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Make That Sound More 'Metallic': Towards a Perceptually Relevant Control of the Timbre of Synthesizer Sounds Using a Variational Autoencoder by Fanny Roche, Thomas Hueber, Maëva Garnier, Samuel Limier, Laurent Girin

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Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review by Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan

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Using Supervised Learning Methods for Gene Selection in RNA-Seq Case-Control Studies by Stephane Wenric, Stephane Wenric, Ruhollah Shemirani

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Coarse-to-Fine Joint Distribution Alignment for Cross-Domain Hyperspectral Image Classification by Jiajia Miao, Bo Zhang, Bin Wang

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Synthetic Face Discrimination via Learned Image Compression by Sofia Iliopoulou, Panagiotis Tsinganos, Dimitris Ampeliotis, Athanassios Skodras

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Efficiently Detecting Non-Stationary Opponents: A Bayesian Policy Reuse Approach under Partial Observability by Yu Wang, Ke Fu, Hao Chen, Quan Liu, Jian Huang, Zhongjie Zhang

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Fast and Efficient Image Generation Using Variational Autoencoders and K-Nearest Neighbor OveRsampling Approach by Ashhadul Islam, Samir Brahim Belhaouari

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Variational deep embedding-based active learning for the diagnosis of pneumonia by Jian Huang, Jian Huang, Jian Huang, Wen Ding, Wen Ding, Jiarun Zhang, Zhao Li, Ting Shu, Pekka Kuosmanen, Pekka Kuosmanen, Guanqun Zhou, Chuan Zhou, Gang Yu, Gang Yu, Gang Yu, Gang Yu

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ECOGEN: Bird sounds generation using deep learning by Axel‐Christian Guei, Sylvain Christin, Nicolas Lecomte, Éric Hervet

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