Auto-encoding variational bayes DP Kingma, M Welling
International Conference on Learning Representations (ICLR), 2013
40104 2013 Semi-supervised classification with graph convolutional networks TN Kipf, M Welling
International Conference on Learning Representations (ICLR), 2016
39645 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
5816 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
3676 2014 Variational graph auto-encoders TN Kipf, M Welling
NeurIPS Workshop on Bayesian Deep Learning (NeurIPS BDL), 2016
3223 2016 Bayesian learning via stochastic gradient Langevin dynamics M Welling, YW Teh
Proceedings of the 28th international conference on machine learning (ICML …, 2011
3082 2011 An introduction to variational autoencoders DP Kingma, M Welling
Foundations and Trends® in Machine Learning 12 (4), 307-392, 2019
3078 2019 Group equivariant convolutional networks T Cohen, M Welling
International conference on machine learning, 2990-2999, 2016
2279 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
2171 2016 Attention-based deep multiple instance learning M Ilse, J Tomczak, M Welling
International conference on machine learning, 2127-2136, 2018
2012 2018 Variational dropout and the local reparameterization trick DP Kingma, T Salimans, M Welling
Advances in neural information processing systems 28, 2015
1792 2015 Attention, learn to solve routing problems! W Kool, H Van Hoof, M Welling
International Conference on Learning Representations (ICLR), 2018
1621 2018 Learning sparse neural networks through C Louizos, M Welling, DP Kingma
International Conference on Learning Representations (ICLR), 2017
1279 2017 Spherical cnns TS Cohen, M Geiger, J Köhler, M Welling
International Conference on Learning Representations (ICLR), 2018
1131 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
1017 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
978 2000 Graph convolutional matrix completion R Van Den Berg, NK Thomas, M Welling
KDD Deep Learning Day (KDD DLD), 2017
942 2017 E (n) equivariant graph neural networks VG Satorras, E Hoogeboom, M Welling
International conference on machine learning, 9323-9332, 2021
926 2021 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
879 2017 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
869 2017 
Paul NewmanProfessor University of OxfordEmail verificata su robots.ox.ac.uk