Pseudo-Spherical Contrastive Divergence

1 November 2021

Papers citing "Pseudo-Spherical Contrastive Divergence"

42 / 42 papers shown

Title
Proper scoring rules for estimation and forecast evaluation Kartik Waghmare Johanna Ziegel AI4TS 213 2 0 02 Apr 2025
No MCMC for me: Amortized sampling for fast and stable training of energy-based models Will Grathwohl Jacob Kelly Milad Hashemi Mohammad Norouzi Kevin Swersky David Duvenaud 88 72 0 08 Oct 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 266 1,163 0 16 Jun 2020
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 230 43 0 06 Mar 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 90 546 0 06 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 547 42,639 0 03 Dec 2019
Flow Contrastive Estimation of Energy-Based Models Ruiqi Gao Erik Nijkamp Diederik P. Kingma Zhen Xu Andrew M. Dai Ying Nian Wu GAN 72 115 0 02 Dec 2019
Bridging the Gap Between $f$ -GANs and Wasserstein GANs Jiaming Song Stefano Ermon 76 40 0 22 Oct 2019
Model Based Planning with Energy Based Models Yilun Du Toru Lin Igor Mordatch 90 38 0 15 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,961 0 12 Jul 2019
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 119 419 0 17 May 2019
Exponential Family Estimation via Adversarial Dynamics Embedding Bo Dai Ziqiang Liu H. Dai Niao He Arthur Gretton Le Song Dale Schuurmans 76 53 0 27 Apr 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 98 213 0 22 Apr 2019
Maximum Entropy Generators for Energy-Based Models Rithesh Kumar Sherjil Ozair Anirudh Goyal Aaron Courville Yoshua Bengio 44 113 0 24 Jan 2019
Bias and Generalization in Deep Generative Models: An Empirical Study Shengjia Zhao Hongyu Ren Arianna Yuan Jiaming Song Noah D. Goodman Stefano Ermon AI4CE 56 137 0 08 Nov 2018
Kernel Exponential Family Estimation via Doubly Dual Embedding Heike Adel H. Dai Arthur Gretton Le Song Dale Schuurmans Niao He 48 36 0 06 Nov 2018
Stochastic Gradient Descent with Biased but Consistent Gradient Estimators Jie Chen Ronny Luss 79 45 0 31 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 303 3,144 0 09 Jul 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 164 4,445 0 16 Feb 2018
Which Training Methods for GANs do actually Converge? L. Mescheder Andreas Geiger Sebastian Nowozin 84 1,468 0 13 Jan 2018
Unbiased Markov chain Monte Carlo with couplings Pierre E. Jacob J. O'Leary Yves F. Atchadé 58 73 0 11 Aug 2017
Sub-sampled Cubic Regularization for Non-convex Optimization Jonas Köhler Aurelien Lucchi 67 167 0 16 May 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 179 4,829 0 26 Jan 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 486 9,073 0 10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 158 1,659 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 277 3,722 0 26 May 2016
Stochastic Variance Reduction for Nonconvex Optimization Sashank J. Reddi Ahmed S. Hefny S. Sra Barnabás Póczós Alex Smola 109 604 0 19 Mar 2016
Rényi Divergence Variational Inference Yingzhen Li Richard Turner BDL 115 263 0 06 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies Shihao Ji S.V.N. Vishwanathan N. Satish Michael J. Anderson Pradeep Dubey 80 77 0 21 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 280 1,246 0 01 Sep 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 179 874 0 12 Feb 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,429 0 28 Nov 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 131 2,269 0 30 Oct 2014
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 146 2,693 0 14 Nov 2013
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 122 1,562 0 22 Sep 2013
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method Simon Lacoste-Julien Mark Schmidt Francis R. Bach 187 261 0 10 Dec 2012
Estimating the Hessian by Back-propagating Curvature James Martens Ilya Sutskever Kevin Swersky 95 80 0 27 Jun 2012
Rényi Divergence and Kullback-Leibler Divergence T. Erven P. Harremoes 90 1,342 0 12 Jun 2012
Sum-Product Networks: A New Deep Architecture Hoifung Poon Pedro M. Domingos TPM 83 761 0 14 Feb 2012
Bregman divergence as general framework to estimate unnormalized statistical models Michael U. Gutmann J. Hirayama 81 80 0 14 Feb 2012
Proper local scoring rules M. Parry A. Dawid Steffen Lauritzen 116 140 0 26 Jan 2011