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Semi-Amortized Variational Autoencoders
Published 2021“…While AVI has enabled efficient training of deep generative models such as variational autoencoders (VAE), recent empirical work suggests that inference networks can produce suboptimal variational parameters. …”
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Semi-Amortized Variational Autoencoders
Published 2022“…While AVI has enabled efficient training of deep generative models such as variational autoencoders (VAE), recent empirical work suggests that inference networks can produce suboptimal variational parameters. …”
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Disentangling disentanglement in variational autoencoders
Published 2019“…We develop a generalisation of disentanglement in variational autoencoders (VAEs)—decomposition of the latent representation—characterising it as the fulfilment of two factors: a) the latent encodings of the data having an appropriate level of overlap, and b) the aggregate encoding of the data conforming to a desired structure, represented through the prior. …”
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Variational Autoencoder for Generation of Antimicrobial Peptides
Published 2020-08-01Get full text
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An evolutionary variational autoencoder for perovskite discovery
Published 2023-09-01Subjects: Get full text
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Variational Autoencoders and the Variable Collapse Phenomenon
Published 2019-06-01Subjects: “…variational autoencoders…”
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Multiresolution equivariant graph variational autoencoder
Published 2023-01-01Subjects: Get full text
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Semi-Supervised Adversarial Variational Autoencoder
Published 2020-09-01Subjects: “…variational autoencoder…”
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Conditional Variational Autoencoder for Learned Image Reconstruction
Published 2021-10-01Subjects: “…conditional variational autoencoder…”
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Explore Protein Conformational Space With Variational Autoencoder
Published 2021-11-01Subjects: Get full text
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Modelling urban networks using Variational Autoencoders
Published 2019-11-01Subjects: “…Variational autoencoders…”
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Variational autoencoder for prosody-based speaker recognition
Published 2023-08-01“…The usefulness of variational autoencoders (VAE) in learning the speaker-specific prosody representations for the speaker recognition task is examined herein for the first time. …”
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EnsVAE: Ensemble Variational Autoencoders for Recommendations
Published 2020-01-01Subjects: Get full text
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Adversarial and variational autoencoders improve metagenomic binning
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Variational Autoencoders for Data Augmentation in Clinical Studies
Published 2023-07-01Subjects: “…variational autoencoders…”
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Conditional Introspective Variational Autoencoder for Image Synthesis
Published 2020-01-01“…We present a variational autoencoder (VAE) learning framework with introspective training for conditional image synthesis, and explore conditional capsule encoder by class-wise mask label insertion for this framework. …”
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Compression of Vehicle Trajectories with a Variational Autoencoder
Published 2020-09-01“…This paper presents a Variational Autoencoder (VAE) solution to solve the compression problem, and as an added benefit, it also provides classification information. …”
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Nearest Neighbours Graph Variational AutoEncoder
Published 2023-03-01Subjects: Get full text
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A DEBIASING VARIATIONAL AUTOENCODER FOR DEFORESTATION MAPPING
Published 2023-04-01“…In this work, we introduce an extension of the Debiasing Variational Autoencoder (DB-VAE) for semantic segmentation. …”
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Variations in Variational Autoencoders - A Comparative Evaluation
Published 2020-01-01Subjects: Get full text
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