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Max Welling
Max Welling
Professor Machine Learning, University of Amsterdam
Verified email at uva.nl
Title
Cited by
Cited by
Year
Auto-encoding variational bayes
DP Kingma, M Welling
arXiv preprint arXiv:1312.6114, 2013
212262013
Semi-supervised classification with graph convolutional networks
TN Kipf, M Welling
arXiv preprint arXiv:1609.02907, 2016
113692016
Semi-supervised classification with graph convolutional networks
M Welling, TN Kipf
J. International Conference on Learning Representations (ICLR 2017), 2016
57842016
Semi-supervised learning with deep generative models
DP Kingma, S Mohamed, D Jimenez Rezende, M Welling
Advances in neural information processing systems 27, 2014
25832014
Modeling relational data with graph convolutional networks
M Schlichtkrull, TN Kipf, P Bloem, R Berg, I Titov, M Welling
European semantic web conference, 593-607, 2018
23372018
Bayesian learning via stochastic gradient Langevin dynamics
M Welling, YW Teh
Proceedings of the 28th international conference on machine learning (ICML …, 2011
18122011
Variational graph auto-encoders
TN Kipf, M Welling
arXiv preprint arXiv:1611.07308, 2016
18062016
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
14302016
Group equivariant convolutional networks
T Cohen, M Welling
International conference on machine learning, 2990-2999, 2016
11422016
Variational dropout and the local reparameterization trick
DP Kingma, T Salimans, M Welling
Advances in neural information processing systems 28, 2015
11202015
Unsupervised learning of models for recognition
M Weber, M Welling, P Perona
European conference on computer vision, 18-32, 2000
9442000
An introduction to variational autoencoders
DP Kingma, M Welling
Foundations and Trends® in Machine Learning 12 (4), 307-392, 2019
9012019
On smoothing and inference for topic models
A Asuncion, M Welling, P Smyth, YW Teh
arXiv preprint arXiv:1205.2662, 2012
7612012
Graph convolutional matrix completion
R Berg, TN Kipf, M Welling
arXiv preprint arXiv:1706.02263, 2017
7542017
A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation
Y Teh, D Newman, M Welling
Advances in neural information processing systems 19, 2006
7362006
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
7222008
Learning Sparse Neural Networks through Regularization
C Louizos, M Welling, DP Kingma
arXiv preprint arXiv:1712.01312, 2017
7042017
Attention-based deep multiple instance learning
M Ilse, J Tomczak, M Welling
International conference on machine learning, 2127-2136, 2018
6662018
Spherical cnns
TS Cohen, M Geiger, J Köhler, M Welling
arXiv preprint arXiv:1801.10130, 2018
6512018
Visualizing deep neural network decisions: Prediction difference analysis
LM Zintgraf, TS Cohen, T Adel, M Welling
arXiv preprint arXiv:1702.04595, 2017
5772017
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