BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling

BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling

6 February 2019

Valentin Liévin

Papers citing "BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling"

14 / 64 papers shown

Title
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 118 17,084 0 19 Jun 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip Torr N. Siddharth Tom Rainforth CML DRL 30 43 0 17 Jun 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 31 87 0 17 Feb 2020
Learning Discrete Distributions by Dequantization Emiel Hoogeboom Taco S. Cohen Jakub M. Tomczak DRL 34 31 0 30 Jan 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai Ziyu Wang David Wipf DRL 24 75 0 23 Dec 2019
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models James Townsend Thomas Bird Julius Kunze David Barber BDL VLM 21 56 0 20 Dec 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse James Lucas George Tucker Roger C. Grosse Mohammad Norouzi CoGe DRL 38 179 0 06 Nov 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 30 372 0 01 Jul 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 32 14 0 31 May 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 27 88 0 30 May 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 33 198 0 24 May 2019
Improved Conditional VRNNs for Video Prediction Lluis Castrejon Nicolas Ballas Aaron Courville VGen DRL 21 161 0 27 Apr 2019
Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection David Zimmerer Simon A. A. Kohl Jens Petersen Fabian Isensee Klaus H. Maier-Hein DRL 19 128 0 14 Dec 2018
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 272 2,552 0 25 Jan 2016