Interpretation for Variational Autoencoder Used to Generate Financial Synthetic Tabular Data by Jinhong Wu, Konstantinos Plataniotis, Lucy Liu, Ehsan Amjadian, Yuri Lawryshyn

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Application of Artificial Intelligence Virtual Image Technology in Photography Art Creation Under Deep Learning by Qiong Yao

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Variational Autoencoders for Cancer Data Integration: Design Principles and Computational Practice by Nikola Simidjievski, Cristian Bodnar, Ifrah Tariq, Ifrah Tariq, Paul Scherer, Helena Andres Terre, Zohreh Shams, Mateja Jamnik, Pietro Liò

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A Source Identification Problem in Magnetics Solved by Means of Deep Learning Methods by Sami Barmada, Paolo Di Barba, Nunzia Fontana, Maria Evelina Mognaschi, Mauro Tucci

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Multimodal Trajectory Prediction for Diverse Vehicle Types in Autonomous Driving with Heterogeneous Data and Physical Constraints by Maoning Ge, Kento Ohtani, Ming Ding, Yingjie Niu, Yuxiao Zhang, Kazuya Takeda

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Data Size and Quality Matter: Generating Physically-Realistic Distance Maps of Protein Tertiary Structures by Fardina Fathmiul Alam, Amarda Shehu

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Multiscale Enhanced Sampling Using Machine Learning by Kei Moritsugu

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Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network by Mansheng Lin, Shuai Teng, Gongfa Chen, David Bassir

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Unleashing the Power of Hierarchical Variational Autoencoder for Predicting Breast Cancer by V. Sreelekshmi, K. Pavithran, Jyothisha J. Nair

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Application of Variational AutoEncoder (VAE) Model and Image Processing Approaches in Game Design by Hugo Wai Leung Mak, Runze Han, Hoover H. F. Yin

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Integration of scRNA-seq data by disentangled representation learning with condition domain adaptation by Renjing Liu, Kun Qian, Xinwei He, Hongwei Li

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Out-of-Distribution Detection with Memory-Augmented Variational Autoencoder by Faezeh Ataeiasad, David Elizondo, Saúl Calderón Ramírez, Sarah Greenfield, Lipika Deka

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Conditional Variational AutoEncoder based on Stochastic Attacks by Gabriel Zaid, Lilian Bossuet, Mathieu Carbone, Amaury Habrard, Alexandre Venelli

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Synthesis of Synthetic Hyperspectral Images with Controllable Spectral Variability Using a Generative Adversarial Network by Burkni Palsson, Magnus O. Ulfarsson, Johannes R. Sveinsson

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EEG-to-EEG: Scalp-to-Intracranial EEG Translation Using a Combination of Variational Autoencoder and Generative Adversarial Networks by Bahman Abdi-Sargezeh, Sepehr Shirani, Antonio Valentin, Gonzalo Alarcon, Saeid Sanei

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Representation Learning with a Variational Autoencoder for Predicting Nitrogen Requirement in Rice by Miltiadis Iatrou, Christos Karydas, Xanthi Tseni, Spiros Mourelatos

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Enhancing Variational Generation Through Self-Decomposition by Andrea Asperti, Laura Bugo, Daniele Filippini

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Non-Parallel Whisper-to-Normal Speaking Style Conversion Using Auxiliary Classifier Variational Autoencoder by Shogo Seki, Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka

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FastMVAE: A Fast Optimization Algorithm for the Multichannel Variational Autoencoder Method by Li Li, Hirokazu Kameoka, Shota Inoue, Shoji Makino

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Unsupervised video anomaly detection in UAVs: a new approach based on learning and inference by Gang Liu, Lisheng Shu, Yuhui Yang, Chen Jin, Chen Jin

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