Auto-encoding variational bayes DP Kingma, M Welling
arXiv preprint arXiv:1312.6114, 2013
29826 2013 Semi-supervised classification with graph convolutional networks TN Kipf, M Welling
arXiv preprint arXiv:1609.02907, 2016
27199 2016 Modeling relational data with graph convolutional networks M Schlichtkrull, TN Kipf, P Bloem, R Van Den Berg, I Titov, M Welling
The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete …, 2018
4050 2018 Semi-supervised learning with deep generative models DP Kingma, S Mohamed, D Jimenez Rezende, M Welling
Advances in neural information processing systems 27, 2014
3169 2014 Bayesian learning via stochastic gradient Langevin dynamics M Welling, YW Teh
Proceedings of the 28th international conference on machine learning (ICML …, 2011
2421 2011 Variational graph auto-encoders TN Kipf, M Welling
arXiv preprint arXiv:1611.07308, 2016
2191 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, 2016
1816 2016 An introduction to variational autoencoders DP Kingma, M Welling
Foundations and Trends® in Machine Learning 12 (4), 307-392, 2019
1794 2019 Group equivariant convolutional networks T Cohen, M Welling
International conference on machine learning, 2990-2999, 2016
1707 2016 Variational dropout and the local reparameterization trick DP Kingma, T Salimans, M Welling
Advances in neural information processing systems 28, 2015
1456 2015 Graph convolutional matrix completion R Berg, TN Kipf, M Welling
arXiv preprint arXiv:1706.02263, 2017
1254 2017 Attention-based deep multiple instance learning M Ilse, J Tomczak, M Welling
International conference on machine learning, 2127-2136, 2018
1245 2018 Attention, learn to solve routing problems! W Kool, H Van Hoof, M Welling
arXiv preprint arXiv:1803.08475, 2018
1043 2018 Variational graph auto-encoders NK Thomas, M Welling
arXiv preprint arXiv:1611.07308 2 (10), 2016
1040 2016 Learning Sparse Neural Networks through C Louizos, M Welling, DP Kingma
arXiv preprint arXiv:1712.01312, 2017
994 2017 Unsupervised learning of models for recognition M Weber, M Welling, P Perona
Computer Vision-ECCV 2000: 6th European Conference on Computer Vision Dublin …, 2000
958 2000 Spherical cnns TS Cohen, M Geiger, J Köhler, M Welling
arXiv preprint arXiv:1801.10130, 2018
931 2018 On smoothing and inference for topic models A Asuncion, M Welling, P Smyth, YW Teh
arXiv preprint arXiv:1205.2662, 2012
793 2012 A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation Y Teh, D Newman, M Welling
Advances in neural information processing systems 19, 2006
787 2006 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
774 2008 
Paul NewmanProfessor University of OxfordAdresse e-mail validée de robots.ox.ac.uk
