Auto-encoding variational bayes DP Kingma, M Welling
arXiv preprint arXiv:1312.6114, 2013
16760 2013 Semi-supervised classification with graph convolutional networks TN Kipf, M Welling
arXiv preprint arXiv:1609.02907, 2016
10591 2016 Semi-supervised learning with deep generative models DP Kingma, S Mohamed, DJ Rezende, M Welling
Advances in neural information processing systems, 3581-3589, 2014
2255 2014 Modeling relational data with graph convolutional networks M Schlichtkrull, TN Kipf, P Bloem, R Van Den Berg, I Titov, M Welling
European semantic web conference, 593-607, 2018
1577 2018 Bayesian learning via stochastic gradient Langevin dynamics M Welling, YW Teh
Proceedings of the 28th international conference on machine learning (ICML …, 2011
1508 2011 Variational graph auto-encoders TN Kipf, M Welling
arXiv preprint arXiv:1611.07308, 2016
1220 2016 Improved variational inference with inverse autoregressive flow DP Kingma, T Salimans, R Jozefowicz, X Chen, I Sutskever, M Welling
Advances in neural information processing systems 29, 4743-4751, 2016
1190 2016 Unsupervised learning of models for recognition M Weber, M Welling, P Perona
European conference on computer vision, 18-32, 2000
944 2000 Variational dropout and the local reparameterization trick DP Kingma, T Salimans, M Welling
Advances in neural information processing systems 28, 2575-2583, 2015
898 2015 Group equivariant convolutional networks T Cohen, M Welling
International conference on machine learning, 2990-2999, 2016
868 2016 On smoothing and inference for topic models A Asuncion, M Welling, P Smyth, YW Teh
arXiv preprint arXiv:1205.2662, 2012
733 2012 A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation YW Teh, D Newman, M Welling
CALIFORNIA UNIV IRVINE SCHOOL OF INFORMATION AND COMPUTER SCIENCE, 2007
731 2007 Fast collapsed gibbs sampling for latent dirichlet allocation I Porteous, D Newman, A Ihler, A Asuncion, P Smyth, M Welling
Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008
686 2008 Exponential Family Harmoniums with an Application to Information Retrieval. M Welling, M Rosen-Zvi, GE Hinton
Nips 4, 1481-1488, 2004
566 2004 Learning Sparse Neural Networks through C Louizos, M Welling, DP Kingma
arXiv preprint arXiv:1712.01312, 2017
531 2017 An introduction to variational autoencoders DP Kingma, M Welling
arXiv preprint arXiv:1906.02691, 2019
508 2019 Graph convolutional matrix completion R Berg, TN Kipf, M Welling
arXiv preprint arXiv:1706.02263, 2017
497 2017 Distributed algorithms for topic models. D Newman, A Asuncion, P Smyth, M Welling
Journal of Machine Learning Research 10 (8), 2009
485 2009 Spherical cnns TS Cohen, M Geiger, J Köhler, M Welling
arXiv preprint arXiv:1801.10130, 2018
477 2018 Visualizing deep neural network decisions: Prediction difference analysis LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595, 2017
473 2017 
Paul NewmanProfessor University of OxfordZweryfikowany adres z robots.ox.ac.uk
