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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
394472013
Semi-supervised classification with graph convolutional networks
TN Kipf, M Welling
International Conference on Learning Representations (ICLR), 2016
389572016
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
57172018
Semi-supervised learning with deep generative models
DP Kingma, S Mohamed, D Jimenez Rezende, M Welling
Advances in neural information processing systems 27, 2014
36522014
Variational graph auto-encoders
TN Kipf, M Welling
NeurIPS Workshop on Bayesian Deep Learning (NeurIPS BDL), 2016
31722016
Bayesian learning via stochastic gradient Langevin dynamics
M Welling, YW Teh
Proceedings of the 28th international conference on machine learning (ICML …, 2011
30392011
An introduction to variational autoencoders
DP Kingma, M Welling
Foundations and Trends® in Machine Learning 12 (4), 307-392, 2019
30082019
Group equivariant convolutional networks
T Cohen, M Welling
International conference on machine learning, 2990-2999, 2016
22512016
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
21492016
Attention-based deep multiple instance learning
M Ilse, J Tomczak, M Welling
International conference on machine learning, 2127-2136, 2018
19702018
Variational dropout and the local reparameterization trick
DP Kingma, T Salimans, M Welling
Advances in neural information processing systems 28, 2015
17802015
Attention, learn to solve routing problems!
W Kool, H Van Hoof, M Welling
International Conference on Learning Representations (ICLR), 2018
15742018
Learning sparse neural networks through regularization
C Louizos, M Welling, DP Kingma
International Conference on Learning Representations (ICLR), 2017
12682017
Spherical cnns
TS Cohen, M Geiger, J Köhler, M Welling
International Conference on Learning Representations (ICLR), 2018
11142018
Neural relational inference for interacting systems
T Kipf, E Fetaya, KC Wang, M Welling, R Zemel
International conference on machine learning, 2688-2697, 2018
10032018
Unsupervised learning of models for recognition
M Weber, M Welling, P Perona
Computer Vision-ECCV 2000: 6th European Conference on Computer Vision Dublin …, 2000
9762000
Graph convolutional matrix completion
R Van Den Berg, NK Thomas, M Welling
KDD Deep Learning Day (KDD DLD), 2017
9342017
E (n) equivariant graph neural networks
VG Satorras, E Hoogeboom, M Welling
International conference on machine learning, 9323-9332, 2021
8882021
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
8722017
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
8592017
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