| Auto-encoding variational bayes DP Kingma, M Welling arXiv preprint arXiv:1312.6114, 2013 | 13062 | 2013 |
| Semi-supervised classification with graph convolutional networks TN Kipf, M Welling arXiv preprint arXiv:1609.02907, 2016 | 6933 | 2016 |
| Semi-supervised learning with deep generative models DP Kingma, DJ Rezende, S Mohamed, M Welling arXiv preprint arXiv:1406.5298, 2014 | 1921 | 2014 |
| Bayesian learning via stochastic gradient Langevin dynamics M Welling, YW Teh Proceedings of the 28th international conference on machine learning (ICML …, 2011 | 1231 | 2011 |
| 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 | 1026 | 2018 |
| Improving variational inference with inverse autoregressive flow DP Kingma, T Salimans, R Jozefowicz, X Chen, I Sutskever, M Welling arXiv preprint arXiv:1606.04934, 2016 | 962 | 2016 |
| Unsupervised learning of models for recognition M Weber, M Welling, P Perona European conference on computer vision, 18-32, 2000 | 919 | 2000 |
| Variational graph auto-encoders TN Kipf, M Welling arXiv preprint arXiv:1611.07308, 2016 | 806 | 2016 |
| Variational dropout and the local reparameterization trick DP Kingma, T Salimans, M Welling arXiv preprint arXiv:1506.02557, 2015 | 704 | 2015 |
| On smoothing and inference for topic models A Asuncion, M Welling, P Smyth, YW Teh arXiv preprint arXiv:1205.2662, 2012 | 696 | 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 | 694 | 2007 |
| Group equivariant convolutional networks T Cohen, M Welling International conference on machine learning, 2990-2999, 2016 | 657 | 2016 |
| 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 | 654 | 2008 |
| Exponential Family Harmoniums with an Application to Information Retrieval. M Welling, M Rosen-Zvi, GE Hinton Nips 4, 1481-1488, 2004 | 554 | 2004 |
| Distributed algorithms for topic models. D Newman, A Asuncion, P Smyth, M Welling Journal of Machine Learning Research 10 (8), 2009 | 457 | 2009 |
| Markov chain monte carlo and variational inference: Bridging the gap T Salimans, D Kingma, M Welling International Conference on Machine Learning, 1218-1226, 2015 | 401 | 2015 |
| Visualizing deep neural network decisions: Prediction difference analysis LM Zintgraf, TS Cohen, T Adel, M Welling arXiv preprint arXiv:1702.04595, 2017 | 368 | 2017 |
| Learning Sparse Neural Networks through Regularization C Louizos, M Welling, DP Kingma arXiv preprint arXiv:1712.01312, 2017 | 367 | 2017 |
| Spherical cnns TS Cohen, M Geiger, J Köhler, M Welling arXiv preprint arXiv:1801.10130, 2018 | 363 | 2018 |
| Towards automatic discovery of object categories M Weber, M Welling, P Perona Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR …, 2000 | 329 | 2000 |
Paul NewmanProfessor University of OxfordVerified email at robots.ox.ac.uk
Paul NewmanProfessor University of OxfordVerified email at robots.ox.ac.uk