| Auto-encoding variational bayes DP Kingma, M Welling arXiv preprint arXiv:1312.6114, 2013 | 6865 | 2013 |
| Semi-supervised classification with graph convolutional networks TN Kipf, M Welling arXiv preprint arXiv:1609.02907, 2016 | 2217 | 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 | 1199 | 2014 |
| Unsupervised learning of models for recognition M Weber, M Welling, P Perona European conference on computer vision, 18-32, 2000 | 868 | 2000 |
| Bayesian learning via stochastic gradient Langevin dynamics M Welling, YW Teh Proceedings of the 28th international conference on machine learning (ICML …, 2011 | 788 | 2011 |
| On smoothing and inference for topic models A Asuncion, M Welling, P Smyth, YW Teh Proceedings of the twenty-fifth conference on uncertainty in artificial …, 2009 | 598 | 2009 |
| A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation YW Teh, D Newman, M Welling Advances in neural information processing systems, 1353-1360, 2007 | 590 | 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 | 553 | 2008 |
| 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, 4743-4751, 2016 | 512 | 2016 |
| Exponential family harmoniums with an application to information retrieval M Welling, M Rosen-Zvi, GE Hinton Advances in neural information processing systems, 1481-1488, 2005 | 486 | 2005 |
| Variational dropout and the local reparameterization trick DP Kingma, T Salimans, M Welling Advances in Neural Information Processing Systems, 2575-2583, 2015 | 407 | 2015 |
| Distributed algorithms for topic models D Newman, A Asuncion, P Smyth, M Welling Journal of Machine Learning Research 10 (Aug), 1801-1828, 2009 | 388 | 2009 |
| Group equivariant convolutional networks T Cohen, M Welling International conference on machine learning, 2990-2999, 2016 | 337 | 2016 |
| 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 | 326 | 2018 |
| The law of Malthus JC Welling American Anthropologist 1 (1), 1-24, 1888 | 313 | 1888 |
| Towards automatic discovery of object categories M Weber, M Welling, P Perona cvpr 2 (2101), 39, 2000 | 310 | 2000 |
| Variational graph auto-encoders TN Kipf, M Welling arXiv preprint arXiv:1611.07308, 2016 | 289 | 2016 |
| Distributed inference for latent dirichlet allocation D Newman, P Smyth, M Welling, AU Asuncion Advances in neural information processing systems, 1081-1088, 2008 | 277 | 2008 |
| Markov chain monte carlo and variational inference: Bridging the gap T Salimans, D Kingma, M Welling International Conference on Machine Learning, 1218-1226, 2015 | 269 | 2015 |
| Bayesian posterior sampling via stochastic gradient Fisher scoring S Ahn, A Korattikara, M Welling arXiv preprint arXiv:1206.6380, 2012 | 213 | 2012 |
Paul NewmanProfessor University of OxfordVerified email at robots.ox.ac.uk
Paul NewmanProfessor University of OxfordVerified email at robots.ox.ac.uk