Generalized Energy Based Models

10 March 2020

Papers citing "Generalized Energy Based Models"

21 / 71 papers shown

Title
Cooperative Training of Descriptor and Generator Networks Jianwen Xie Yang Lu Ruiqi Gao Song-Chun Zhu Ying Nian Wu GAN 45 144 0 29 Sep 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 131 3,098 0 10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 119 1,654 0 02 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 231 3,689 0 26 May 2016
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions Carl-Johann Simon-Gabriel Bernhard Schölkopf 23 92 0 18 Apr 2016
A Theory of Generative ConvNet Jianwen Xie Yang Lu Song-Chun Zhu Ying Nian Wu DiffM GAN 83 321 0 10 Feb 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 431 2,566 0 25 Jan 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 243 13,989 0 19 Nov 2015
Structured Prediction Energy Networks David Belanger Andrew McCallum GNN 62 219 0 19 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 67 2,331 0 10 Jun 2015
Approximating Likelihood Ratios with Calibrated Discriminative Classifiers Kyle Cranmer J. Pavez Gilles Louppe 103 227 0 06 Jun 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 284 4,167 0 21 May 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 146 867 0 12 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 224 8,391 0 28 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.4K 39,472 0 01 Sep 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 410 16,947 0 20 Dec 2013
Density Estimation in Infinite Dimensional Exponential Families Bharath K. Sriperumbudur Kenji Fukumizu Arthur Gretton Aapo Hyvarinen Revant Kumar 63 125 0 12 Dec 2013
MCMC using Hamiltonian dynamics Radford M. Neal 288 3,276 0 09 Jun 2012
f-divergence estimation and two-sample homogeneity test under semiparametric density-ratio models Takafumi Kanamori Taiji Suzuki Masashi Sugiyama 84 70 0 24 Oct 2010
Estimating divergence functionals and the likelihood ratio by convex risk minimization X. Nguyen Martin J. Wainwright Michael I. Jordan 192 802 0 04 Sep 2008