Papers citing 'RNADE: The real-valued neural autoregressive density-estimator'

Title
MaCow: Masked Convolutional Generative FlowNeural Information Processing Systems (NeurIPS), 2019 Xuezhe Ma Xiang Kong Shanghang Zhang Eduard H. Hovy DRL 197 68 0 12 Feb 2019
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling Hao Wang Chengzhi Mao Hao He Mingmin Zhao Tommi Jaakkola Dina Katabi BDL 223 23 0 06 Feb 2019
Exchangeable Generative Models with Flow Scans Christian Bender Kevin O'Connor Yang Li J. Garcia Manzil Zaheer Junier Oliva 3DPC 150 4 0 05 Feb 2019
A Forest from the Trees: Generation through Neighborhoods Yang Li Tianxiang Gao Junier B. Oliva 142 5 0 04 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture DesignInternational Conference on Machine Learning (ICML), 2019 Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 335 484 0 01 Feb 2019
Learning deep kernels for exponential family densitiesInternational Conference on Machine Learning (ICML), 2018 W. Li Danica J. Sutherland Heiko Strathmann Arthur Gretton BDL 253 76 0 20 Nov 2018
Black-Box Autoregressive Density Estimation for State-Space Models Tom Ryder Andrew Golightly A. Mcgough D. Prangle BDL 163 6 0 20 Nov 2018
TzK Flow - Conditional Generative Model M. Livne T. Martinetz 154 2 0 05 Nov 2018
Anomaly Detection for imbalanced datasets with Deep Generative Models Nazly Rocio Santos Buitrago Loek Tonnaer Vlado Menkovski Dimitrios Mavroeidis 89 4 0 02 Nov 2018
Neural Likelihoods via Cumulative Distribution Functions Pawel M. Chilinski Ricardo M. A. Silva UQCV 125 47 0 02 Nov 2018
Deep Diffeomorphic Normalizing Flows Hadi Salman Payman Yadollahpour Tom Fletcher N. Batmanghelich 147 27 0 08 Oct 2018
Deep PDF: Probabilistic Surface Optimization and Density Estimation Dmitry Kopitkov Vadim Indelman 125 2 0 27 Jul 2018
ClariNet: Parallel Wave Generation in End-to-End Text-to-SpeechInternational Conference on Learning Representations (ICLR), 2018 Ming-Yu Liu Kainan Peng Jitong Chen 288 358 0 19 Jul 2018
Latent Space Autoregression for Novelty DetectionComputer Vision and Pattern Recognition (CVPR), 2018 Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 249 475 0 04 Jul 2018
Inverting Supervised Representations with Autoregressive Neural Density Models C. Nash Nate Kushman Christopher K. I. Williams DRL 177 25 0 01 Jun 2018
On GANs and GMMs Eitan Richardson Yair Weiss GAN 289 158 0 31 May 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 382 479 0 03 Apr 2018
Transformation Autoregressive Networks Junier B. Oliva Kumar Avinava Dubey Manzil Zaheer Barnabás Póczós Ruslan Salakhutdinov Eric Xing J. Schneider OOD 284 88 0 30 Jan 2018
PixelSNAIL: An Improved Autoregressive Generative ModelInternational Conference on Machine Learning (ICML), 2017 Xi Chen Nikhil Mishra Mostafa Rohaninejad Pieter Abbeel DRL DiffM BDL GAN 208 296 0 28 Dec 2017
How well does your sampler really work? Ryan D. Turner Brady Neal 126 4 0 16 Dec 2017
Kernel Conditional Exponential Family Michael Arbel Arthur Gretton 184 26 0 15 Nov 2017
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models Aditya Grover Manik Dhar Stefano Ermon GAN 137 24 0 24 May 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 642 1,483 0 19 May 2017
LogitBoost autoregressive networks M. Goessling TPM 114 6 0 22 Mar 2017
Parallel Multiscale Autoregressive Density Estimation Scott E. Reed Aaron van den Oord Nal Kalchbrenner Sergio Gomez Colmenarejo Ziyun Wang Dan Belov Nando de Freitas BDL 217 216 0 10 Mar 2017
Boosted Generative ModelsAAAI Conference on Artificial Intelligence (AAAI), 2016 Aditya Grover Stefano Ermon 230 51 0 27 Feb 2017
Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning Wesley Tansey Karl Pichotta James G. Scott 103 0 0 23 Feb 2017
Pixel Recursive Super ResolutionIEEE International Conference on Computer Vision (ICCV), 2017 Ryan Dahl Mohammad Norouzi Jonathon Shlens SupR 285 254 0 02 Feb 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other ModificationsInternational Conference on Learning Representations (ICLR), 2017 Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 316 990 0 19 Jan 2017
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 281 224 0 14 Nov 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 501 1,930 0 15 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence MinimizationNeural Information Processing Systems (NeurIPS), 2016 Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 552 1,745 0 02 Jun 2016
A Neural Autoregressive Approach to Collaborative Filtering Yin Zheng Bangsheng Tang Wenkui Ding Hanning Zhou BDL 138 225 0 31 May 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 807 4,080 0 26 May 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 359 335 0 07 May 2016
Learning to Generate Genotypes with Neural Networks Alexander W. Churchill Siddharth Sigtia Chrisantha Fernando 39 5 0 14 Apr 2016
Inference Networks for Sequential Monte Carlo in Graphical Models Brooks Paige Frank Wood BDL 291 110 0 22 Feb 2016
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 448 463 0 17 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 1.2K 2,727 0 25 Jan 2016
Multi-Level Cause-Effect Systems Krzysztof Chalupka Pietro Perona F. Eberhardt CML 161 60 0 25 Dec 2015
Mixtures of Sparse Autoregressive Networks M. Goessling Y. Amit 198 3 0 15 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 334 1,184 0 05 Nov 2015
Distilling Model Knowledge George Papamakarios BDL 90 18 0 08 Oct 2015
Generative Image Modeling Using Spatial LSTMsNeural Information Processing Systems (NeurIPS), 2015 Lucas Theis Matthias Bethge GAN VLM 232 205 0 10 Jun 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 1.4K 8,721 0 12 Mar 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 409 917 0 12 Feb 2015
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 1.1K 2,471 0 30 Oct 2014
On the Equivalence Between Deep NADE and Generative Stochastic Networks Weitong Chen Sherjil Ozair Dong Wang Yoshua Bengio BDL 118 9 0 02 Sep 2014
Multimodal Transitions for Generative Stochastic NetworksInternational Conference on Learning Representations (ICLR), 2013 Sherjil Ozair Weitong Chen Yoshua Bengio 317 10 0 19 Dec 2013
A Deep and Tractable Density EstimatorInternational Conference on Machine Learning (ICML), 2013 Benigno Uria Iain Murray Hugo Larochelle BDL 296 203 0 07 Oct 2013