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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
248052013
Semi-supervised classification with graph convolutional networks
TN Kipf, M Welling
arXiv preprint arXiv:1609.02907, 2016
211272016
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
30992018
Semi-supervised learning with deep generative models
DP Kingma, S Mohamed, D Jimenez Rezende, M Welling
Advances in neural information processing systems 27, 2014
28602014
Bayesian learning via stochastic gradient Langevin dynamics
M Welling, YW Teh
Proceedings of the 28th international conference on machine learning (ICML …, 2011
20882011
Variational graph auto-encoders
TN Kipf, M Welling
arXiv preprint arXiv:1611.07308, 2016
16622016
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
16062016
Group equivariant convolutional networks
T Cohen, M Welling
International conference on machine learning, 2990-2999, 2016
14022016
Variational dropout and the local reparameterization trick
DP Kingma, T Salimans, M Welling
Advances in neural information processing systems 28, 2015
13012015
An introduction to variational autoencoders
DP Kingma, M Welling
Foundations and Trends® in Machine Learning 12 (4), 307-392, 2019
12682019
Graph convolutional matrix completion
R Berg, TN Kipf, M Welling
arXiv preprint arXiv:1706.02263, 2017
10032017
Unsupervised learning of models for recognition
M Weber, M Welling, P Perona
Computer Vision-ECCV 2000: 6th European Conference on Computer Vision Dublin …, 2000
9522000
Attention-based deep multiple instance learning
M Ilse, J Tomczak, M Welling
International conference on machine learning, 2127-2136, 2018
9152018
Learning Sparse Neural Networks through Regularization
C Louizos, M Welling, DP Kingma
arXiv preprint arXiv:1712.01312, 2017
8362017
Variational graph auto-encoders
NK Thomas, M Welling
arXiv preprint arXiv:1611.07308 2 (10), 2016
8142016
Spherical cnns
TS Cohen, M Geiger, J Köhler, M Welling
arXiv preprint arXiv:1801.10130, 2018
7842018
On smoothing and inference for topic models
A Asuncion, M Welling, P Smyth, YW Teh
arXiv preprint arXiv:1205.2662, 2012
7752012
Attention, learn to solve routing problems!
W Kool, H Van Hoof, M Welling
arXiv preprint arXiv:1803.08475, 2018
7682018
A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation
Y Teh, D Newman, M Welling
Advances in neural information processing systems 19, 2006
7582006
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
7562008
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