MADE: Masked Autoencoder for Distribution Estimation

12 February 2015

Papers citing "MADE: Masked Autoencoder for Distribution Estimation"

35 / 185 papers shown

Title
Monge-Ampère Flow for Generative Modeling Linfeng Zhang E. Weinan Lei Wang DRL 28 62 0 26 Sep 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 21 484 0 14 Aug 2018
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 16 432 0 04 Jul 2018
Constructing Deep Neural Networks by Bayesian Network Structure Learning R. Y. Rohekar Shami Nisimov Yaniv Gurwicz G. Koren Gal Novik BDL 31 26 0 24 Jun 2018
Autoregressive Quantile Networks for Generative Modeling Georg Ostrovski Will Dabney Rémi Munos DRL 28 85 0 14 Jun 2018
Variational Autoencoder with Arbitrary Conditioning Oleg Ivanov Michael Figurnov Dmitry Vetrov BDL DRL 19 146 0 06 Jun 2018
Mining gold from implicit models to improve likelihood-free inference Johann Brehmer Gilles Louppe J. Pavez Kyle Cranmer AI4CE TPM 38 181 0 30 May 2018
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows George Papamakarios D. Sterratt Iain Murray BDL 60 358 0 18 May 2018
From CDF to PDF --- A Density Estimation Method for High Dimensional Data S. Zhang 19 6 0 15 Apr 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 31 433 0 03 Apr 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 18 249 0 15 Mar 2018
Neural Network Renormalization Group Shuo-Hui Li Lei Wang BDL DRL 37 125 0 08 Feb 2018
Transformation Autoregressive Networks Junier B. Oliva Kumar Avinava Dubey Manzil Zaheer Barnabás Póczós Ruslan Salakhutdinov Eric Xing J. Schneider OOD 28 86 0 30 Jan 2018
Faithful Inversion of Generative Models for Effective Amortized Inference Stefan Webb Adam Goliñski R. Zinkov Siddharth Narayanaswamy Tom Rainforth Yee Whye Teh Frank Wood TPM 51 46 0 01 Dec 2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis Aaron van den Oord Yazhe Li Igor Babuschkin Karen Simonyan Oriol Vinyals ... Alex Graves Helen King T. Walters Dan Belov Demis Hassabis 38 856 0 28 Nov 2017
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 39 80 0 01 Nov 2017
Domain Randomization and Generative Models for Robotic Grasping Joshua Tobin Lukas Biewald Rocky Duan Marcin Andrychowicz Ankur Handa ... Bob McGrew Jonas Schneider Peter Welinder Wojciech Zaremba Pieter Abbeel OOD 25 175 0 17 Oct 2017
Reconstruction of Hidden Representation for Robust Feature Extraction Zeng Yu Tianrui Li Ning Yu Yi Pan Hongmei Chen Bing-Quan Liu 22 27 0 08 Oct 2017
Learnable Explicit Density for Continuous Latent Space and Variational Inference Chin-Wei Huang Ahmed Touati Laurent Dinh M. Drozdzal Mohammad Havaei Laurent Charlin Aaron Courville BDL DRL 45 28 0 06 Oct 2017
PixelGAN Autoencoders Alireza Makhzani Brendan J. Frey GAN 32 100 0 02 Jun 2017
Pixel Deconvolutional Networks Hongyang Gao Hao Yuan Zhengyang Wang Shuiwang Ji SSeg 19 46 0 18 May 2017
LogitBoost autoregressive networks M. Goessling TPM 18 5 0 22 Mar 2017
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed J. Hopcroft Serge J. Belongie GAN 22 458 0 13 Dec 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 47 671 0 08 Nov 2016
Professor Forcing: A New Algorithm for Training Recurrent Networks Alex Lamb Anirudh Goyal Ying Zhang Saizheng Zhang Aaron Courville Yoshua Bengio GAN 66 589 0 27 Oct 2016
Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data Decebal Constantin Mocanu M. T. Vega Eric Eaton Peter Stone A. Liotta OffRL 21 26 0 18 Oct 2016
Example-Based Image Synthesis via Randomized Patch-Matching Yi Ren Yaniv Romano Michael Elad 3DV 28 9 0 23 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks Andrew Brock Theodore Lim J. Ritchie Nick Weston GAN 27 457 0 22 Sep 2016
Visualizing and Understanding Sum-Product Networks Antonio Vergari Nicola Di Mauro F. Esposito FAtt AAML TPM 24 45 0 29 Aug 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 58 1,798 0 15 Jun 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 97 3,649 0 26 May 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 45 313 0 07 May 2016
A topological insight into restricted Boltzmann machines Decebal Constantin Mocanu Elena Mocanu Phuong H. Nguyen M. Gibescu A. Liotta BDL 13 97 0 20 Apr 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 275 2,553 0 25 Jan 2016
Neural Variational Inference for Text Processing Yishu Miao Lei Yu Phil Blunsom VLM DRL 28 616 0 19 Nov 2015