Enhancing variational generation through self-decomposition

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Enhancing variational generation through self-decomposition

6 February 2022

Daniele Filippini

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Papers citing "Enhancing variational generation through self-decomposition"

12 / 12 papers shown

Title
A survey on Variational Autoencoders from a GreenAI perspective Andrea Asperti David Evangelista E. Loli Piccolomini DRL 67 51 0 01 Mar 2021
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 80 915 0 08 Jul 2020
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders Andrea Asperti Matteo Trentin DRL 74 101 0 18 Feb 2020
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 99 2,364 0 06 Jun 2019
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 68 381 0 14 Mar 2019
Preventing Posterior Collapse with delta-VAEs Ali Razavi Aaron van den Oord Ben Poole Oriol Vinyals DRL 92 171 0 10 Jan 2019
Sparsity in Variational Autoencoders Andrea Asperti BDL DRL 41 10 0 18 Dec 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 303 3,144 0 09 Jul 2018
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 372 2,236 0 22 Sep 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 175 1,727 0 31 Dec 2016
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 280 1,246 0 01 Sep 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,429 0 28 Nov 2014