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Max Welling
Max Welling
CAIO CuspAI & 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
International Conference on Learning Representations (ICLR), 2013
422982013
Semi-supervised classification with graph convolutional networks
TN Kipf, M Welling
International Conference on Learning Representations (ICLR), 2016
420542016
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
61702018
Semi-supervised learning with deep generative models
DP Kingma, S Mohamed, D Jimenez Rezende, M Welling
Advances in neural information processing systems 27, 2014
38062014
Variational graph auto-encoders
TN Kipf, M Welling
NeurIPS Workshop on Bayesian Deep Learning (NeurIPS BDL), 2016
34312016
An introduction to variational autoencoders
DP Kingma, M Welling
Foundations and Trends® in Machine Learning 12 (4), 307-392, 2019
33152019
Bayesian learning via stochastic gradient Langevin dynamics
M Welling, YW Teh
Proceedings of the 28th international conference on machine learning (ICML …, 2011
31942011
Group equivariant convolutional networks
T Cohen, M Welling
International conference on machine learning, 2990-2999, 2016
23672016
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
22372016
Attention-based deep multiple instance learning
M Ilse, J Tomczak, M Welling
International conference on machine learning, 2127-2136, 2018
21622018
Variational dropout and the local reparameterization trick
DP Kingma, T Salimans, M Welling
Advances in neural information processing systems 28, 2015
18552015
Attention, learn to solve routing problems!
W Kool, H Van Hoof, M Welling
International Conference on Learning Representations (ICLR), 2018
17542018
Learning sparse neural networks through regularization
C Louizos, M Welling, DP Kingma
International Conference on Learning Representations (ICLR), 2017
13492017
Spherical cnns
TS Cohen, M Geiger, J Köhler, M Welling
International Conference on Learning Representations (ICLR), 2018
11582018
Neural relational inference for interacting systems
T Kipf, E Fetaya, KC Wang, M Welling, R Zemel
International conference on machine learning, 2688-2697, 2018
10662018
E (n) equivariant graph neural networks
VG Satorras, E Hoogeboom, M Welling
International conference on machine learning, 9323-9332, 2021
10262021
Unsupervised learning of models for recognition
M Weber, M Welling, P Perona
Computer Vision-ECCV 2000: 6th European Conference on Computer Vision Dublin …, 2000
9802000
Graph convolutional matrix completion
R Van Den Berg, NK Thomas, M Welling
KDD Deep Learning Day (KDD DLD), 2017
9772017
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
9102017
Semi-supervised classification with graph convolutional networks. arXiv 2016
TN Kipf, M Welling
arXiv preprint arXiv:1609.02907, 2016
9092016
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