Maximum Entropy Flow Networks

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Maximum Entropy Flow Networks

12 January 2017

Gabriel Loaiza-Ganem

John P. Cunningham

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Papers citing "Maximum Entropy Flow Networks"

12 / 12 papers shown

Title
Rectangular Flows for Manifold Learning Anthony L. Caterini Gabriel Loaiza-Ganem Geoff Pleiss John P. Cunningham DRL 109 47 0 02 Jun 2021
Controlling Information Capacity of Binary Neural Network D. Ignatov Andrey D. Ignatov MQ 115 22 0 04 Aug 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation Jae Hyun Lim Aaron Courville C. Pal Chin-Wei Huang DRL 71 23 0 09 Jun 2020
Batch norm with entropic regularization turns deterministic autoencoders into generative models Amur Ghose Abdullah M. Rashwan Pascal Poupart UQCV 41 8 0 25 Feb 2020
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 100 47 0 29 Oct 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders Gabriel Loaiza-Ganem John P. Cunningham DRL 128 84 0 16 Jul 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 233 778 0 10 Jun 2019
Approximating exponential family models (not single distributions) with a two-network architecture Sean R. Bittner John P. Cunningham 43 4 0 18 Mar 2019
A Probe Towards Understanding GAN and VAE Models Lu Mi Macheng Shen J.N. Zhang DRL 53 20 0 13 Dec 2018
Spectral Inference Networks: Unifying Deep and Spectral Learning David Pfau Stig Petersen Ashish Agarwal David Barrett Kimberly L. Stachenfeld 122 40 0 06 Jun 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 161 447 0 03 Apr 2018
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 234 1,361 0 19 May 2017