Welling, Max

Semi-supervised classification with graph convolutional networks

Kipf, T. N., & Welling, M. (2016) · arXiv

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 24,853

Auto-Encoding Variational Bayes

Kingma, D. P., & Welling, M. (2013) · arXiv

Gaussian Processes and Bayesian InferenceTopic Modeling

Cited by 20,067

Modeling Relational Data with Graph Convolutional Networks

Schlichtkrull, M., Kipf, T. N., Bloem, P., van den Berg, R., Titov, I., & Welling, M. (2018) · Lecture Notes in Computer Science

Advanced Graph Neural NetworksTopic Modeling

Cited by 5,570

An Introduction to Variational Autoencoders

Kingma, D. P., & Welling, M. (2019) · Foundations and Trends® in Machine Learning

Gaussian Processes and Bayesian InferenceTopic Modeling

Cited by 2,609

Scientific discovery in the age of artificial intelligence.

Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu, Z., Chandak, P., Liu, S., Van Katwyk, P., Deac, A., et al. (2023) · Nature

Artificial Intelligence ApplicationsMachine Learning in Materials Science

Cited by 1,823

Learning Sparse Neural Networks through $L_0$ Regularization

Louizos, C., Welling, M., & Kingma, D. P. (2017) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 628

Data-Free Quantization Through Weight Equalization and Bias Correction

Nagel, M., Baalen, M. V., Blankevoort, T., & Welling, M. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 500

Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

Zintgraf, L. M., Cohen, T. S., Adel, T., & Welling, M. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 487

Rotation Equivariant CNNs for Digital Pathology

Veeling, B. S., Linmans, J., Winkens, J., Cohen, T., & Welling, M. (2018) · Lecture Notes in Computer Science

AI in cancer detectionAdvanced Neural Network Applications

Cited by 476

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence

Akata, Z., Balliet, D., de Rijke, M., Dignum, F., Dignum, V., Eiben, G., Fokkens, A., Grossi, D., Hindriks, K., Hoos, H., et al. (2020) · Computer

Human-Automation Interaction and SafetyArtificial Intelligence Applications

Cited by 415

Herding dynamical weights to learn

Welling, M. (2009) · Proceedings of the 26th Annual International Conference on Machine Learning

Markov Chains and Monte Carlo MethodsGaussian Processes and Bayesian Inference

Cited by 401

A foundation model for the Earth system

Bodnar, C., Bruinsma, W. P., Lucic, A., Stanley, M., Allen, A., Brandstetter, J., Garvan, P., Riechert, M., Weyn, J. A., Dong, H., et al. (2025) · Nature

Meteorological Phenomena and SimulationsModel Reduction and Neural Networks

Cited by 267

Quantum mechanics of a point particle in -dimensional gravity

Matschull, H.-J., & Welling, M. (1998) · Classical and Quantum Gravity

Noncommutative and Quantum Gravity TheoriesRelativity and Gravitational Theory

Cited by 176

Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

Louizos, C., & Welling, M. (2016) · arXiv

Gaussian Processes and Bayesian InferenceNeural Networks and Applications

Cited by 138

Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation

Foulds, J., Boyles, L., DuBois, C., Smyth, P., & Welling, M. (2013) · Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Topic ModelingBayesian Methods and Mixture Models

Cited by 126

Supervised uncertainty quantification for segmentation with multiple annotations

Hu, S., Worrall, D., Knegt, S., Veeling, B., Huisman, H., & Welling, M. (2019) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 105

Steerable CNNs

Cohen, T. S., & Welling, M. (2016) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 20

Gradient $\ell_1$ Regularization for Quantization Robustness

Alizadeh, M., Behboodi, A., van Baalen, M., Louizos, C., Blankevoort, T., & Welling, M. (2020) · arXiv

Advanced Neural Network ApplicationsStochastic Gradient Optimization Techniques

Cited by 10

The torus universe in the polygon approach to (2 + 1)-dimensional gravity

Welling, M. (1997) · Classical and Quantum Gravity

Noncommutative and Quantum Gravity TheoriesRelativity and Gravitational Theory

Cited by 8

Multi-Agent MDP Homomorphic Networks

van der Pol, E., van Hoof, H., Oliehoek, F. A., & Welling, M. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 5

Quantum Deformed Neural Networks

Bondesan, R., & Welling, M. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 2