Ordering Dimensions with Nested Dropout Normalizing Flows

15 June 2020

Papers citing "Ordering Dimensions with Nested Dropout Normalizing Flows"

17 / 17 papers shown

Title
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 102 163 0 31 Mar 2020
Regularized Autoencoders via Relaxed Injective Probability Flow Abhishek Kumar Ben Poole Kevin Patrick Murphy BDL TPM DRL 63 39 0 20 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 547 10,591 0 17 Feb 2020
Normalizing Flows on Tori and Spheres Danilo Jimenez Rezende George Papamakarios S. Racanière M. S. Albergo G. Kanwar P. Shanahan Kyle Cranmer TPM 89 157 0 06 Feb 2020
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 194 778 0 10 Jun 2019
Hybrid Models with Deep and Invertible Features Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan BDL DRL 98 99 0 07 Feb 2019
Emerging Convolutions for Generative Normalizing Flows Emiel Hoogeboom Rianne van den Berg Max Welling DRL 121 98 0 30 Jan 2019
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 308 3,144 0 09 Jul 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Improving Variational Auto-Encoders using Householder Flow Jakub M. Tomczak Max Welling BDL DRL 100 175 0 29 Nov 2016
Normalizing Flows on Riemannian Manifolds Mevlana Gemici Danilo Jimenez Rezende S. Mohamed BDL 83 106 0 07 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 350 8,179 0 13 Aug 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,722 0 26 May 2016
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 150 1,146 0 05 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Learning Ordered Representations with Nested Dropout Oren Rippel M. Gelbart Ryan P. Adams SSL 127 89 0 05 Feb 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 286 12,467 0 24 Jun 2012