Auto-encoding variational bayes DP Kingma, M Welling
International Conference on Learning Representations (ICLR), 2013
38103 2013 Semi-supervised classification with graph convolutional networks TN Kipf, M Welling
International Conference on Learning Representations (ICLR), 2016
37616 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
5532 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
3604 2014 Variational graph auto-encoders TN Kipf, M Welling
NeurIPS Workshop on Bayesian Deep Learning (NeurIPS BDL), 2016
3079 2016 Bayesian learning via stochastic gradient Langevin dynamics M Welling, YW Teh
Proceedings of the 28th international conference on machine learning (ICML …, 2011
2960 2011 An introduction to variational autoencoders DP Kingma, M Welling
Foundations and Trends® in Machine Learning 12 (4), 307-392, 2019
2843 2019 Group equivariant convolutional networks T Cohen, M Welling
International conference on machine learning, 2990-2999, 2016
2186 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
2112 2016 Attention-based deep multiple instance learning M Ilse, J Tomczak, M Welling
International conference on machine learning, 2127-2136, 2018
1872 2018 Variational dropout and the local reparameterization trick DP Kingma, T Salimans, M Welling
Advances in neural information processing systems 28, 2015
1748 2015 Attention, learn to solve routing problems! W Kool, H Van Hoof, M Welling
International Conference on Learning Representations (ICLR), 2018
1517 2018 Learning sparse neural networks through C Louizos, M Welling, DP Kingma
International Conference on Learning Representations (ICLR), 2017
1243 2017 Spherical cnns TS Cohen, M Geiger, J Köhler, M Welling
International Conference on Learning Representations (ICLR), 2018
1099 2018 Neural relational inference for interacting systems T Kipf, E Fetaya, KC Wang, M Welling, R Zemel
International conference on machine learning, 2688-2697, 2018
980 2018 Unsupervised learning of models for recognition M Weber, M Welling, P Perona
Computer Vision-ECCV 2000: 6th European Conference on Computer Vision Dublin …, 2000
973 2000 Graph convolutional matrix completion R Van Den Berg, NK Thomas, M Welling
KDD Deep Learning Day (KDD DLD), 2017
913 2017 Visualizing deep neural network decisions: Prediction difference analysis LM Zintgraf, TS Cohen, T Adel, M Welling
The fifth International Conference on Learning Representations (ICLR), 2017
854 2017 A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation Y Teh, D Newman, M Welling
Advances in neural information processing systems 19, 2006
835 2006 Causal effect inference with deep latent-variable models C Louizos, U Shalit, JM Mooij, D Sontag, R Zemel, M Welling
Advances in neural information processing systems 30, 2017
833 2017 
Paul NewmanProfessor University of OxfordBestätigte E-Mail-Adresse bei robots.ox.ac.uk