In All Likelihood, Deep Belief Is Not Enough

28 November 2010

Papers citing "In All Likelihood, Deep Belief Is Not Enough"

8 / 8 papers shown

Title
Gaussian-Bernoulli RBMs Without Tears Renjie Liao Simon Kornblith Mengye Ren David J. Fleet Geoffrey E. Hinton BDL OOD 41 13 0 19 Oct 2022
Learning Gaussian-Bernoulli RBMs using Difference of Convex Functions Optimization V. Upadhya P. Sastry 35 7 0 11 Feb 2021
Blind Image Denoising via Dependent Dirichlet Process Tree Fengyuan Zhu Guangyong Chen Jianye Hao Pheng-Ann Heng 33 18 0 13 Jan 2016
Generative Image Modeling Using Spatial LSTMs Lucas Theis Matthias Bethge GAN VLM 75 201 0 10 Jun 2015
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing Yuri Burda Roger C. Grosse Ruslan Salakhutdinov TPM 144 67 0 30 Dec 2014
Video (language) modeling: a baseline for generative models of natural videos MarcÁurelio Ranzato Arthur Szlam Joan Bruna Michaël Mathieu R. Collobert S. Chopra VGen 128 473 0 20 Dec 2014
Gaussian-binary Restricted Boltzmann Machines on Modeling Natural Image Statistics Nan Wang Jan Melchior Laurenz Wiskott 55 49 0 23 Jan 2014
RNADE: The real-valued neural autoregressive density-estimator Benigno Uria Iain Murray Hugo Larochelle 134 239 0 02 Jun 2013