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Variational Autoencoders are one of the most commonly used generative models, particularly for image data.
Preventing posterior collapse with delta-vaes
Ali Razavi, Aäron van den Oord, Ben Poole, and Oriol Vinyals · 1901
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Matrix analysis
Roger A Horn and Charles R Johnson · 2012
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Boosting: Foundations and algorithms
Robert E Schapire and Yoav Freund · 2013
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Deep learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
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Hidden talents of the variational autoencoder
Bin Dai, Yu Wang, John Aston, Gang Hua, and David Wipf · 2017
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Neural discrete representation learning
Aaron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu · 2017
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Implicit regularization in matrix factorization
Suriya Gunasekar, Blake Woodworth, Srinadh Bhojanapalli, Behnam Neyshabur, and Nathan Srebro · 2018
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Gradient descent aligns the layers of deep linear networks
Ziwei Ji and Matus Telgarsky · 2018
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Algorithmic regularization in over-parameterized matrix sensing and neural networks with quadratic activations
Yuanzhi Li, Tengyu Ma, and Hongyang Zhang · 2018
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The implicit bias of gradient descent on separable data
Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Suriya Gunasekar, and Nathan Srebro · 2018
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Implicit regularization in deep matrix factorization
Sanjeev Arora, Nadav Cohen, Wei Hu, and Yuping Luo · 2019
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Diagnosing and enhancing vae models
Bin Dai and David Wipf · 2019
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The usual suspects? reassessing blame for vae posterior collapse
Bin Dai, Ziyu Wang, and David Wipf · 2020
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On implicit regularization in β \beta -vaes
Abhishek Kumar and Ben Poole · 2020
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Zhiyuan Li, Yuping Luo, and Kaifeng Lyu · 2020
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Nvae: A deep hierarchical variational autoencoder
Arash Vahdat and Jan Kautz · 2020
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Deep linear networks dynamics: Low-rank biases induced by initialization scale and l2 regularization
Arthur Jacot, François Ged, Franck Gabriel, Berfin Şimşek, and Clément Hongler · 2021
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Junxian He, Daniel Spokoyny, Graham Neubig, and Taylor Berg-Kirkpatrick · 2019
Cited alongside, same era.
Don’t blame the elbo! a linear vae perspective on posterior collapse
James Lucas, George Tucker, Roger B Grosse, and Mohammad Norouzi · 2019
Cited alongside, same era.
Generating diverse high-fidelity images with vq-vae-2
Ali Razavi, Aaron van den Oord, and Oriol Vinyals
Cited in the paper.
Spectral smoothing unveils phase transitions in hierarchical variational autoencoders
Adeel Pervez and Efstratios Gavves · 2021
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On empirical bayes variational autoencoder: An excess risk bound
Rong Tang and Yun Yang · 2021
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