Max Welling
Max Welling
Professor Machine Learning, University of Amsterdam
Verified email at uva.nl
TitleCited byYear
Auto-encoding variational bayes
DP Kingma, M Welling
arXiv preprint arXiv:1312.6114, 2013
50752013
Semi-supervised classification with graph convolutional networks
TN Kipf, M Welling
arXiv preprint arXiv:1609.02907, 2016
12362016
Semi-supervised learning with deep generative models
DP Kingma, S Mohamed, DJ Rezende, M Welling
Advances in neural information processing systems, 3581-3589, 2014
9712014
Unsupervised learning of models for recognition
M Weber, M Welling, P Perona
European conference on computer vision, 18-32, 2000
8492000
Bayesian learning via stochastic gradient Langevin dynamics
M Welling, YW Teh
Proceedings of the 28th international conference on machine learning (ICML …, 2011
6862011
On smoothing and inference for topic models
A Asuncion, M Welling, P Smyth, YW Teh
Proceedings of the twenty-fifth conference on uncertainty in artificial …, 2009
5632009
A collapsed variational Bayesian inference algorithm for latent Dirichlet allocation
YW Teh, D Newman, M Welling
Advances in neural information processing systems, 1353-1360, 2007
5602007
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
5242008
Exponential family harmoniums with an application to information retrieval
M Welling, M Rosen-Zvi, GE Hinton
Advances in neural information processing systems, 1481-1488, 2005
4682005
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, 4743-4751, 2016
3882016
Distributed algorithms for topic models
D Newman, A Asuncion, P Smyth, M Welling
Journal of Machine Learning Research 10 (Aug), 1801-1828, 2009
3712009
Variational dropout and the local reparameterization trick
DP Kingma, T Salimans, M Welling
Advances in Neural Information Processing Systems, 2575-2583, 2015
3172015
Towards automatic discovery of object categories
M Weber, M Welling, P Perona
cvpr 2 (2101), 39, 2000
3052000
Distributed inference for latent dirichlet allocation
D Newman, P Smyth, M Welling, AU Asuncion
Advances in neural information processing systems, 1081-1088, 2008
2652008
Group equivariant convolutional networks
T Cohen, M Welling
International conference on machine learning, 2990-2999, 2016
2482016
Markov chain monte carlo and variational inference: Bridging the gap
T Salimans, D Kingma, M Welling
International Conference on Machine Learning, 1218-1226, 2015
2372015
Bayesian posterior sampling via stochastic gradient Fisher scoring
S Ahn, A Korattikara, M Welling
arXiv preprint arXiv:1206.6380, 2012
2022012
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
1872018
Collapsed Variational Dirichlet Process Mixture Models.
K Kurihara, M Welling, YW Teh
IJCAI 7, 2796-2801, 2007
1862007
Positive tensor factorization
M Welling, M Weber
Pattern Recognition Letters 22 (12), 1255-1261, 2001
1782001
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