Neural Autoregressive Distribution Estimation

7 May 2016

Papers citing "Neural Autoregressive Distribution Estimation"

28 / 28 papers shown

Title
Automatic Music Transcription using Convolutional Neural Networks and Constant-Q transform Yohannis Telila Tommaso Cucinotta D. Bacciu ViT 46 0 0 07 May 2025
TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data P. Tiwald Ivona Krchova Andrey Sidorenko Mariana Vargas-Vieyra Mario Scriminaci Michael Platzer 86 3 0 21 Jan 2025
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts Helia Hashemi J. Eisner Corby Rosset Benjamin Van Durme Chris Kedzie 100 3 0 03 Jan 2025
Generalized Distribution Prediction for Asset Returns Ísak Pétursson María Óskarsdóttir AIFin 55 0 0 15 Oct 2024
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 175 1,349 0 19 May 2017
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 170 2,339 0 09 May 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 435 2,566 0 25 Jan 2016
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 248 1,245 0 01 Sep 2015
Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks Emily L. Denton Soumith Chintala Arthur Szlam Rob Fergus GAN 90 2,241 0 18 Jun 2015
Generative Image Modeling Using Spatial LSTMs Lucas Theis Matthias Bethge GAN VLM 58 200 0 10 Jun 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 159 1,960 0 16 Feb 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 150 867 0 12 Feb 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 98 846 0 10 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 222 4,665 0 21 Dec 2014
A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data Yin Zheng Yujin Zhang Hugo Larochelle BDL 57 62 0 13 Sep 2014
Reweighted Wake-Sleep J. Bornschein Yoshua Bengio BDL 85 183 0 11 Jun 2014
Iterative Neural Autoregressive Distribution Estimator (NADE-k) T. Raiko L. Yao Kyunghyun Cho Yoshua Bengio 62 42 0 05 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 414 16,944 0 20 Dec 2013
Deep AutoRegressive Networks Karol Gregor Ivo Danihelka A. Mnih Charles Blundell Daan Wierstra AI4TS BDL 83 282 0 31 Oct 2013
A Deep and Tractable Density Estimator Benigno Uria Iain Murray Hugo Larochelle BDL 91 193 0 07 Oct 2013
RNADE: The real-valued neural autoregressive density-estimator Benigno Uria Iain Murray Hugo Larochelle 92 238 0 02 Jun 2013
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription Nicolas Boulanger-Lewandowski Yoshua Bengio Pascal Vincent 151 702 0 27 Jun 2012
Deep Mixtures of Factor Analysers Yichuan Tang Ruslan Salakhutdinov Geoffrey E. Hinton 61 68 0 18 Jun 2012
Learning Representations by Maximizing Compression Karol Gregor Yann LeCun SSL 162 17 0 04 Aug 2011
Mixed Cumulative Distribution Networks Ricardo M. A. Silva Charles Blundell Yee Whye Teh 105 15 0 31 Aug 2010
Minimum Probability Flow Learning Jascha Narain Sohl-Dickstein P. Battaglino M. DeWeese 129 70 0 25 Jun 2009
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 211 2,353 0 15 May 2008