---
title: "Max Welling — all works — Elamur Research"
description: "All 468 works of Max Welling in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Max Welling — all works

468 works · page 1 of 5 · 1–100 · [← Max Welling](https://md.research.elamur.ai/free/en/authors/max-welling/)

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1. [**Auto-Encoding Variational Bayes arXiv:1312.6114**Diederik P Kingma, Max Welling*2013 · 15,450 citations*](https://md.research.elamur.ai/free/en/papers/kingma-2013-auto-encoding-variational-bayes/)
2. [**Semi-Supervised Classification with Graph Convolutional Networks arXiv:1609.02907**Thomas N. Kipf, Max Welling*2016 · 9,023 citations*](https://md.research.elamur.ai/free/en/papers/kipf-2016-semi-supervised-classification-graph-convolutional/)
3. **[An Introduction to Variational Autoencoders ↗](https://doi.org/10.1561/2200000056) Foundations and Trends® in Machine Learning · no summary yet**Diederik P. Kingma, Max Welling*2019 · 2,614 citations*
4. **[Semi-Supervised Learning with Deep Generative Models ↗](https://arxiv.org/abs/1406.5298) UvA-DARE (University of Amsterdam) · no summary yet**Diederik P. Kingma et al.*2014 · 1,550 citations*
5. **[Bayesian Learning via Stochastic Gradient Langevin Dynamics ↗](https://openalex.org/W2167433878) no summary yet**Max Welling, Yee Whye Teh*2012 · 1,405 citations*
6. **[Proceedings of the 26th International Conference on Neural Information Processing Systems ↗](https://openalex.org/W2912500072) no summary yet**Chris J. C. Burges et al.*2013 · 1,324 citations*
7. **[Graph Convolutional Matrix Completion ↗](https://arxiv.org/abs/1706.02263) arXiv (Cornell University) · no summary yet**Rianne van den Berg, Thomas Kipf, Max Welling*2017 · 1,056 citations*
8. **[Variational Graph Auto-Encoders ↗](https://arxiv.org/abs/1611.07308) arXiv (Cornell University) · no summary yet**Thomas Kipf, Max Welling*2016 · 882 citations*
9. **[Improved Variational Inference with Inverse Autoregressive Flow ↗](https://openalex.org/W2587284713) neural information processing systems · no summary yet**Durk Kingma et al.*2016 · 812 citations*
10. **[Attention-based Deep Multiple Instance Learning ↗](https://arxiv.org/abs/1802.04712) arXiv (Cornell University) · no summary yet**Maximilian Ilse, Jakub M. Tomczak, Max Welling*2018 · 689 citations*
11. **[Modeling Relational Data with Graph Convolutional Networks ↗](https://arxiv.org/abs/1703.06103) arXiv:1703.06103 · no summary yet**Michael Schlichtkrull et al.*2017 · 669 citations*
12. **[Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 1 ↗](https://openalex.org/W2915480215) no summary yet**Zoubin Ghahramani et al.*2014 · 656 citations*
13. **[Group Equivariant Convolutional Networks ↗](https://arxiv.org/abs/1602.07576) arXiv (Cornell University) · no summary yet**Taco Cohen, Max Welling*2016 · 601 citations*
14. **[Unsupervised Learning of Models for Recognition ↗](https://doi.org/10.1007/3-540-45054-8_2) Lecture notes in computer science · no summary yet**M. Weber, Max Welling, Pietro Perona*2000 · 598 citations*
15. **[Fast collapsed gibbs sampling for latent dirichlet allocation ↗](https://doi.org/10.1145/1401890.1401960) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Ian Porteous et al.*2008 · 578 citations*
16. **[Data-Free Quantization Through Weight Equalization and Bias Correction ↗](https://doi.org/10.1109/iccv.2019.00141) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Markus Nagel et al.*2019 · 530 citations*
17. **[A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation ↗](https://doi.org/10.21236/ada629956) no summary yet**Yee Whye Teh, David J. Newman, Max Welling*2007 · 504 citations*
18. **[Variational Dropout and the Local Reparameterization Trick ↗](https://arxiv.org/abs/1506.02557) arXiv (Cornell University) · no summary yet**Diederik P. Kingma, Tim Salimans, Max Welling*2015 · 489 citations*
19. **[Proceedings of the 27th International Conference on Neural Information Processing Systems ↗](https://openalex.org/W2913059114) no summary yet**Zoubin Ghahramani et al.*2014 · 482 citations*
20. **[Visualizing Deep Neural Network Decisions: Prediction Difference Analysis ↗](https://arxiv.org/abs/1702.04595) ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · no summary yet**Luisa Zintgraf et al.*2017 · 473 citations*
21. **[Rotation Equivariant CNNs for Digital Pathology ↗](https://doi.org/10.1007/978-3-030-00934-2_24) Lecture notes in computer science · no summary yet**Bastiaan S. Veeling et al.*2018 · 468 citations*
22. **[On Smoothing and Inference for Topic Models ↗](https://arxiv.org/abs/1205.2662) arXiv (Cornell University) · no summary yet**Arthur Asuncion et al.*2012 · 435 citations*
23. **[Herding dynamical weights to learn ↗](https://doi.org/10.1145/1553374.1553517) International Conference on Machine Learning · no summary yet**Max Welling*2009 · 414 citations*
24. **[Exponential Family Harmoniums with an Application to Information Retrieval ↗](https://openalex.org/W2124914669) no summary yet**Max Welling, Michal Rosen‐Zvi, Geoffrey E. Hinton*2004 · 413 citations*
25. **[Distributed Algorithms for Topic Models ↗](https://openalex.org/W2116137244) no summary yet**David J. Newman et al.*2009 · 399 citations*
26. **[Markov Chain Monte Carlo and Variational Inference: Bridging the Gap ↗](https://arxiv.org/abs/1410.6460) UvA-DARE (University of Amsterdam) · no summary yet**Tim Salimans, Diederik P. Kingma, Max Welling*2014 · 381 citations*
27. **[Bayesian Compression for Deep Learning ↗](https://arxiv.org/abs/1705.08665) arXiv (Cornell University) · no summary yet**Christos Louizos, Karen Ullrich, Max Welling*2017 · 341 citations*
28. **[Structure-based drug design with equivariant diffusion models ↗](https://doi.org/10.1038/s43588-024-00737-x) Nature Computational Science · no summary yet**Arne Schneuing et al.*2022 · 327 citations*
29. **[Computer Vision – ECCV 2016 ↗](https://doi.org/10.1007/978-3-319-46448-0) Lecture notes in computer science · no summary yet**Max Welling et al.*2016 · 308 citations*
30. **[Causal Effect Inference with Deep Latent-Variable Models ↗](https://arxiv.org/abs/1705.08821) UvA-DARE (University of Amsterdam) · no summary yet**Christos Louizos et al.*2017 · 290 citations*
31. **[A foundation model for the Earth system ↗](https://doi.org/10.1038/s41586-025-09005-y) Nature · no summary yet**Cristian Bodnar et al.*2025 · 288 citations*
32. **[Neural Relational Inference for Interacting Systems ↗](https://hdl.handle.net/11245.1/0f5e9586-b2ff-4344-a05b-a0d82ef41414) UvA-DARE (University of Amsterdam) · no summary yet**Thomas Kipf et al.*2018 · 281 citations*
33. **[SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks ↗](https://arxiv.org/abs/2006.10503) UvA-DARE (University of Amsterdam) · no summary yet**Fabian B. Fuchs et al.*2020 · 274 citations*
34. **[Learning Sparse Neural Networks through L0 Regularization ↗](https://arxiv.org/abs/1712.01312) arXiv (Cornell University) · no summary yet**Christos Louizos, Max Welling, Diederik P. Kingma*2017 · 272 citations*
35. **[3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data ↗](https://arxiv.org/abs/1807.02547) arXiv (Cornell University) · no summary yet**Maurice Weiler et al.*2018 · 251 citations*
36. **[Multiplicative Normalizing Flows for Variational Bayesian Neural Networks ↗](https://arxiv.org/abs/1703.01961) arXiv (Cornell University) · no summary yet**Christos Louizos, Max Welling*2017 · 233 citations*
37. **[Towards automatic discovery of object categories ↗](https://doi.org/10.1109/cvpr.2000.854754) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**M. Weber, Max Welling, Pietro Perona*2000 · 219 citations*
38. **[Distributed Inference for Latent Dirichlet Allocation ↗](https://openalex.org/W2153029569) no summary yet**David J. Newman et al.*2007 · 214 citations*
39. **[Attention, Learn to Solve Routing Problems! ↗](https://arxiv.org/abs/1803.08475) arXiv:1803.08475 · no summary yet**Wouter Kool, Herke van Hoof, Max Welling*2018 · 203 citations*
40. **[Improving Variational Inference with Inverse Autoregressive Flow ↗](https://arxiv.org/abs/1606.04934) arXiv (Cornell University) · no summary yet**Diederik P. Kingma et al.*2016 · 203 citations*
41. **[Bayesian Dark Knowledge ↗](https://arxiv.org/abs/1506.04416) arXiv (Cornell University) · no summary yet**Anoop Korattikara et al.*2015 · 197 citations*
42. **[Positive tensor factorization ↗](https://doi.org/10.1016/s0167-8655(01)00070-8) Pattern Recognition Letters · no summary yet**Max Welling, Markus Weber*2001 · 171 citations*
43. **[Collapsed variational Dirichlet process mixture models ↗](https://openalex.org/W1833498382) no summary yet**Kenichi Kurihara, Max Welling, Yee Whye Teh*2007 · 168 citations*
44. **[Equivariant 3D-conditional diffusion model for molecular linker design ↗](https://doi.org/10.1038/s42256-024-00815-9) Nature Machine Intelligence · no summary yet**Ilia Igashov et al.*2024 · 167 citations*
45. **[Gauge Equivariant Convolutional Networks and the Icosahedral CNN ↗](https://arxiv.org/abs/1902.04615) arXiv (Cornell University) · no summary yet**Taco Cohen et al.*2019 · 165 citations*
46. **[Quantum mechanics of a point particle in -dimensional gravity ↗](https://doi.org/10.1088/0264-9381/15/10/008) Classical and Quantum Gravity · no summary yet**Hans-Jürgen Matschull, Max Welling*1998 · 163 citations*
47. **[Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget ↗](https://arxiv.org/abs/1304.5299) UvA-DARE (University of Amsterdam) · no summary yet**Anoop Korattikara, Yutian Chen, Max Welling*2013 · 158 citations*
48. **[Spherical CNNs ↗](https://arxiv.org/abs/1801.10130) arXiv (Cornell University) · no summary yet**Taco Cohen et al.*2018 · 156 citations*
49. **[E(n) Equivariant Graph Neural Networks ↗](https://arxiv.org/abs/2102.09844) arXiv (Cornell University) · no summary yet**Víctor García Satorras, Emiel Hoogeboom, Max Welling*2021 · 155 citations*
50. **[Super-Samples from Kernel Herding ↗](https://arxiv.org/abs/1203.3472) arXiv (Cornell University) · no summary yet**Yutian Chen, Max Welling, Alex J. Smola*2012 · 153 citations*
51. **[Collapsed Variational Inference for HDP ↗](https://openalex.org/W2157906684) no summary yet**Yee Whye Teh, Kenichi Kurihara, Max Welling*2007 · 148 citations*
52. **[Asynchronous Distributed Learning of Topic Models ↗](https://openalex.org/W2107469355) neural information processing systems · no summary yet**Padhraic Smyth, Max Welling, Arthur Asuncion*2008 · 143 citations*
53. **[Equivariant Diffusion for Molecule Generation in 3D ↗](https://arxiv.org/abs/2203.17003) arXiv (Cornell University) · no summary yet**Emiel Hoogeboom et al.*2022 · 141 citations*
54. **[Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures ↗](https://doi.org/10.1609/aaai.v24i1.7686) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Ian Porteous, Arthur Asuncion, Max Welling*2010 · 135 citations*
55. **[Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation ↗](https://doi.org/10.1207/s15516709cog0000_76) Cognitive Science · no summary yet**Geoffrey E. Hinton et al.*2006 · 135 citations*
56. **[Learning Sparse Topographic Representations with Products of Student-t Distributions ↗](https://openalex.org/W2138448681) neural information processing systems · no summary yet**Max Welling, Simon Osindero, Geoffrey E. Hinton*2002 · 132 citations*
57. **[Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation ↗](https://doi.org/10.1145/2487575.2487697) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**James R. Foulds et al.*2013 · 131 citations*
58. **[Sylvester Normalizing Flows for Variational Inference ↗](https://arxiv.org/abs/1803.05649) UvA-DARE (University of Amsterdam) · no summary yet**Rianne van den Berg et al.*2018 · 128 citations*
59. **[Quantum Mechanics of a Point Particle in 2+1 Dimensional Gravity ↗](https://openalex.org/W3103873047) no summary yet**Hans-Jürgen Matschull, Max Welling*1998 · 117 citations*
60. **[Deep Policy Dynamic Programming for Vehicle Routing Problems ↗](https://doi.org/10.1007/978-3-031-08011-1_14) Lecture notes in computer science · no summary yet**Wouter Kool et al.*2022 · 116 citations*
61. **[Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring ↗](https://arxiv.org/abs/1206.6380) UvA-DARE (University of Amsterdam) · no summary yet**Sungjin Ahn, Anoop Korattikara, Max Welling*2012 · 114 citations*
62. **[Guided Variational Autoencoder for Disentanglement Learning ↗](https://doi.org/10.1109/cvpr42600.2020.00794) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zheng Ding et al.*2020 · 112 citations*
63. **[Unsupervised learning of visual taxonomies ↗](https://doi.org/10.1109/cvpr.2008.4587620) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Evgeniy Bart et al.*2008 · 110 citations*
64. **[Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions ↗](https://arxiv.org/abs/2102.05379) arXiv (Cornell University) · no summary yet**Emiel Hoogeboom et al.*2021 · 109 citations*
65. **[Topographic Product Models Applied to Natural Scene Statistics ↗](https://doi.org/10.1162/089976606775093936) Neural Computation · no summary yet**Simon Osindero, Max Welling, Geoffrey E. Hinton*2005 · 108 citations*
66. **[The rate adapting poisson model for information retrieval and object recognition ↗](https://doi.org/10.1145/1143844.1143887) International Conference on Machine Learning · no summary yet**Peter Gehler, Alex D. Holub, Max Welling*2006 · 102 citations*
67. **[VAE with a VampPrior ↗](https://arxiv.org/abs/1705.07120) UvA-DARE (University of Amsterdam) · no summary yet**Jakub M. Tomczak, Max Welling*2017 · 99 citations*
68. **[Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation ↗](https://arxiv.org/abs/1301.2317) arXiv (Cornell University) · no summary yet**Max Welling, Yee Whye Teh*2013 · 98 citations*
69. **[Soft Weight-Sharing for Neural Network Compression ↗](https://arxiv.org/abs/1702.04008) arXiv (Cornell University) · no summary yet**Karen Ullrich, Edward Meeds, Max Welling*2017 · 96 citations*
70. **[Recurrent Inference Machines for Solving Inverse Problems ↗](https://arxiv.org/abs/1706.04008) arXiv (Cornell University) · no summary yet**Patrick Putzky, Max Welling*2017 · 95 citations*
71. **[Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors ↗](https://arxiv.org/abs/1603.04733) arXiv (Cornell University) · no summary yet**Christos Louizos, Max Welling*2016 · 94 citations*
72. **[GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation ↗](https://arxiv.org/abs/1401.2838) UvA-DARE (University of Amsterdam) · no summary yet**Edward Meeds, Max Welling*2014 · 94 citations*
73. **[Combining generative models and Fisher kernels for object recognition ↗](https://doi.org/10.1109/iccv.2005.56) no summary yet**Alex D. Holub, Max Welling, Pietro Perona*2005 · 93 citations*
74. **[Improving Variational Auto-Encoders using Householder Flow ↗](https://arxiv.org/abs/1611.09630) arXiv (Cornell University) · no summary yet**Jakub M. Tomczak, Max Welling*2016 · 90 citations*
75. **[Deep Scale-spaces: Equivariance Over Scale ↗](https://arxiv.org/abs/1905.11697) UvA-DARE (University of Amsterdam) · no summary yet**Daniel E. Worrall, Max Welling*2019 · 89 citations*
76. **[Bayesian Bits: Unifying Quantization and Pruning ↗](https://arxiv.org/abs/2005.07093) arXiv (Cornell University) · no summary yet**Mart van Baalen et al.*2020 · 88 citations*
77. **[DIVA: Domain Invariant Variational Autoencoders ↗](https://arxiv.org/abs/1905.10427) arXiv (Cornell University) · no summary yet**Maximilian Ilse et al.*2019 · 88 citations*
78. **[Recurrent inference machines for reconstructing heterogeneous MRI data ↗](https://doi.org/10.1016/j.media.2019.01.005) Medical Image Analysis · no summary yet**Kai Lønning et al.*2019 · 87 citations*
79. **[Supervised Uncertainty Quantification for Segmentation with Multiple Annotations ↗](https://doi.org/10.1007/978-3-030-32245-8_16) Lecture notes in computer science · no summary yet**Hu Shi et al.*2019 · 87 citations*
80. **[Contrastive Learning of Structured World Models ↗](https://arxiv.org/abs/1911.12247) arXiv (Cornell University) · no summary yet**Thomas Kipf, Elise van der Pol, Max Welling*2019 · 82 citations*
81. **[Message Passing Neural PDE Solvers ↗](https://arxiv.org/abs/2202.03376) arXiv (Cornell University) · no summary yet**J. Brandstetter, Daniel E. Worrall, Max Welling*2022 · 81 citations*
82. **[Multi-HDP: a non parametric Bayesian model for tensor factorization ↗](https://openalex.org/W2156338064) no summary yet**Ian R. Porteous, Evgeniy Bart, Max Welling*2008 · 81 citations*
83. **[Distributed Stochastic Gradient MCMC ↗](https://dare.uva.nl/personal/pure/en/publications/distributed-stochastic-gradient-mcmc(c8c77495-254d-4171-b9e7-6ab36b5dc4f3).html) UvA-DARE (University of Amsterdam) · no summary yet**Sungjin Ahn, Babak Shahbaba, Max Welling*2014 · 80 citations*
84. **[BOCK : Bayesian Optimization with Cylindrical Kernels ↗](https://arxiv.org/abs/1806.01619) arXiv (Cornell University) · no summary yet**ChangYong Oh, Efstratios Gavves, Max Welling*2018 · 74 citations*
85. **[Buy 4 REINFORCE Samples, Get a Baseline for Free! ↗](https://openalex.org/W2966628687) International Conference on Learning Representations · no summary yet**Wouter Kool, Herke van Hoof, Max Welling*2019 · 71 citations*
86. **[Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data ↗](https://arxiv.org/abs/2006.10833) Data Archiving and Networked Services (DANS) · no summary yet**Sindy Löwe et al.*2020 · 70 citations*
87. **[Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement ↗](https://arxiv.org/abs/1903.06059) arXiv (Cornell University) · no summary yet**Wouter Kool, Herke van Hoof, Max Welling*2019 · 70 citations*
88. **[Data-driven Reconstruction of Gravitationally Lensed Galaxies Using Recurrent Inference Machines ↗](https://doi.org/10.3847/1538-4357/ab35d7) The Astrophysical Journal · no summary yet**Warren R. Morningstar et al.*2019 · 70 citations*
89. **[A New Learning Algorithm for Mean Field Boltzmann Machines ↗](https://doi.org/10.1007/3-540-46084-5_57) Lecture notes in computer science · no summary yet**Max Welling, Geoffrey E. Hinton*2002 · 70 citations*
90. **[Bayesian k-Means as a “Maximization-Expectation” Algorithm ↗](https://doi.org/10.1162/neco.2008.12-06-421) Neural Computation · no summary yet**Kenichi Kurihara, Max Welling*2008 · 69 citations*
91. **[RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection ↗](https://doi.org/10.1109/tsp.2020.3045199) IEEE Transactions on Signal Processing · no summary yet**Kumar Pratik, Bhaskar D. Rao, Max Welling*2020 · 67 citations*
92. **[Bayesian K-Means as a “Maximization-Expectation” Algorithm ↗](https://doi.org/10.1137/1.9781611972764.43) SIAM International Conference on Data Mining · no summary yet**Max Welling, Kenichi Kurihara*2006 · 63 citations*
93. **[Learning Likelihoods with Conditional Normalizing Flows ↗](https://arxiv.org/abs/1912.00042) arXiv (Cornell University) · no summary yet**Christina Winkler et al.*2019 · 56 citations*
94. **[Learning the Irreducible Representations of Commutative Lie Groups ↗](https://arxiv.org/abs/1402.4437) UvA-DARE (University of Amsterdam) · no summary yet**Taco Cohen, Max Welling*2014 · 55 citations*
95. **[Deep Spiking Networks ↗](https://arxiv.org/abs/1602.08323) arXiv (Cornell University) · no summary yet**Peter O’Connor, Max Welling*2016 · 54 citations*
96. **[Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC ↗](https://doi.org/10.1145/2783258.2783373) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Sungjin Ahn et al.*2015 · 54 citations*
97. **[Batch-Shaping for Learning Conditional Channel Gated Networks ↗](https://arxiv.org/abs/1907.06627) arXiv (Cornell University) · no summary yet**Babak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling*2019 · 53 citations*
98. **[Emerging Convolutions for Generative Normalizing Flows ↗](https://arxiv.org/abs/1901.11137) arXiv (Cornell University) · no summary yet**Emiel Hoogeboom, Rianne van den Berg, Max Welling*2019 · 53 citations*
99. **[Energy-Based Models for Sparse Overcomplete Representations ↗](https://openalex.org/W6990768437) no summary yet**Yee Whye Teh et al.*2003 · 53 citations*
100. **[Neural Enhanced Belief Propagation on Factor Graphs ↗](https://arxiv.org/abs/2003.01998) arXiv (Cornell University) · no summary yet**Víctor García Satorras, Max Welling*2020 · 52 citations*

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