Deep Energy Estimator Networks

Deep Energy Estimator Networks

21 May 2018

Bernhard Schölkopf

Papers citing "Deep Energy Estimator Networks"

12 / 12 papers shown

Title
A new method for parameter estimation in probabilistic models: Minimum probability flow Jascha Narain Sohl-Dickstein P. Battaglino M. DeWeese 23 58 0 17 Jul 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 212 10,591 0 17 Feb 2020
Generalizing Hamiltonian Monte Carlo with Neural Networks Daniel Levy Matthew D. Hoffman Jascha Narain Sohl-Dickstein BDL 51 130 0 25 Nov 2017
Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE Qiang Liu Dilin Wang 33 22 0 04 Jul 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 338 18,300 0 27 May 2016
Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA Aapo Hyvarinen H. Morioka CML OOD AI4TS 49 404 0 20 May 2016
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 74 1,142 0 05 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 844 149,474 0 22 Dec 2014
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 52 500 0 18 Nov 2012
Estimating the Hessian by Back-propagating Curvature James Martens Ilya Sutskever Kevin Swersky 62 80 0 27 Jun 2012
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 184 12,384 0 24 Jun 2012
Interpretation and Generalization of Score Matching Siwei Lyu 75 143 0 09 May 2012