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Max Welling — all works

468 works · page 1 of 5 · 1–100 · ← Max Welling

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  1. Auto-Encoding Variational BayesarXiv:1312.6114Diederik P Kingma, Max Welling2013 · 15,450 citations
  2. Semi-Supervised Classification with Graph Convolutional NetworksarXiv:1609.02907Thomas N. Kipf, Max Welling2016 · 9,023 citations
  3. An Introduction to Variational Autoencoders ↗Foundations and Trends® in Machine Learning · no summary yetDiederik P. Kingma, Max Welling2019 · 2,614 citations
  4. Semi-Supervised Learning with Deep Generative Models ↗UvA-DARE (University of Amsterdam) · no summary yetDiederik P. Kingma et al.2014 · 1,550 citations
  5. Bayesian Learning via Stochastic Gradient Langevin Dynamics ↗no summary yetMax Welling, Yee Whye Teh2012 · 1,405 citations
  6. Proceedings of the 26th International Conference on Neural Information Processing Systems ↗no summary yetChris J. C. Burges et al.2013 · 1,324 citations
  7. Graph Convolutional Matrix Completion ↗arXiv (Cornell University) · no summary yetRianne van den Berg, Thomas Kipf, Max Welling2017 · 1,056 citations
  8. Variational Graph Auto-Encoders ↗arXiv (Cornell University) · no summary yetThomas Kipf, Max Welling2016 · 882 citations
  9. Improved Variational Inference with Inverse Autoregressive Flow ↗neural information processing systems · no summary yetDurk Kingma et al.2016 · 812 citations
  10. Attention-based Deep Multiple Instance Learning ↗arXiv (Cornell University) · no summary yetMaximilian Ilse, Jakub M. Tomczak, Max Welling2018 · 689 citations
  11. Modeling Relational Data with Graph Convolutional Networks ↗arXiv:1703.06103 · no summary yetMichael Schlichtkrull et al.2017 · 669 citations
  12. Proceedings of the 27th International Conference on Neural Information Processing Systems - Volume 1 ↗no summary yetZoubin Ghahramani et al.2014 · 656 citations
  13. Group Equivariant Convolutional Networks ↗arXiv (Cornell University) · no summary yetTaco Cohen, Max Welling2016 · 601 citations
  14. Unsupervised Learning of Models for Recognition ↗Lecture notes in computer science · no summary yetM. Weber, Max Welling, Pietro Perona2000 · 598 citations
  15. Fast collapsed gibbs sampling for latent dirichlet allocation ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetIan Porteous et al.2008 · 578 citations
  16. Data-Free Quantization Through Weight Equalization and Bias Correction ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetMarkus Nagel et al.2019 · 530 citations
  17. A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation ↗no summary yetYee Whye Teh, David J. Newman, Max Welling2007 · 504 citations
  18. Variational Dropout and the Local Reparameterization Trick ↗arXiv (Cornell University) · no summary yetDiederik P. Kingma, Tim Salimans, Max Welling2015 · 489 citations
  19. Proceedings of the 27th International Conference on Neural Information Processing Systems ↗no summary yetZoubin Ghahramani et al.2014 · 482 citations
  20. Visualizing Deep Neural Network Decisions: Prediction Difference Analysis ↗ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · no summary yetLuisa Zintgraf et al.2017 · 473 citations
  21. Rotation Equivariant CNNs for Digital Pathology ↗Lecture notes in computer science · no summary yetBastiaan S. Veeling et al.2018 · 468 citations
  22. On Smoothing and Inference for Topic Models ↗arXiv (Cornell University) · no summary yetArthur Asuncion et al.2012 · 435 citations
  23. Herding dynamical weights to learn ↗International Conference on Machine Learning · no summary yetMax Welling2009 · 414 citations
  24. Exponential Family Harmoniums with an Application to Information Retrieval ↗no summary yetMax Welling, Michal Rosen‐Zvi, Geoffrey E. Hinton2004 · 413 citations
  25. Distributed Algorithms for Topic Models ↗no summary yetDavid J. Newman et al.2009 · 399 citations
  26. Markov Chain Monte Carlo and Variational Inference: Bridging the Gap ↗UvA-DARE (University of Amsterdam) · no summary yetTim Salimans, Diederik P. Kingma, Max Welling2014 · 381 citations
  27. Bayesian Compression for Deep Learning ↗arXiv (Cornell University) · no summary yetChristos Louizos, Karen Ullrich, Max Welling2017 · 341 citations
  28. Structure-based drug design with equivariant diffusion models ↗Nature Computational Science · no summary yetArne Schneuing et al.2022 · 327 citations
  29. Computer Vision – ECCV 2016 ↗Lecture notes in computer science · no summary yetMax Welling et al.2016 · 308 citations
  30. Causal Effect Inference with Deep Latent-Variable Models ↗UvA-DARE (University of Amsterdam) · no summary yetChristos Louizos et al.2017 · 290 citations
  31. A foundation model for the Earth system ↗Nature · no summary yetCristian Bodnar et al.2025 · 288 citations
  32. Neural Relational Inference for Interacting Systems ↗UvA-DARE (University of Amsterdam) · no summary yetThomas Kipf et al.2018 · 281 citations
  33. SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks ↗UvA-DARE (University of Amsterdam) · no summary yetFabian B. Fuchs et al.2020 · 274 citations
  34. Learning Sparse Neural Networks through L0 Regularization ↗arXiv (Cornell University) · no summary yetChristos Louizos, Max Welling, Diederik P. Kingma2017 · 272 citations
  35. 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data ↗arXiv (Cornell University) · no summary yetMaurice Weiler et al.2018 · 251 citations
  36. Multiplicative Normalizing Flows for Variational Bayesian Neural Networks ↗arXiv (Cornell University) · no summary yetChristos Louizos, Max Welling2017 · 233 citations
  37. Towards automatic discovery of object categories ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetM. Weber, Max Welling, Pietro Perona2000 · 219 citations
  38. Distributed Inference for Latent Dirichlet Allocation ↗no summary yetDavid J. Newman et al.2007 · 214 citations
  39. Attention, Learn to Solve Routing Problems! ↗arXiv:1803.08475 · no summary yetWouter Kool, Herke van Hoof, Max Welling2018 · 203 citations
  40. Improving Variational Inference with Inverse Autoregressive Flow ↗arXiv (Cornell University) · no summary yetDiederik P. Kingma et al.2016 · 203 citations
  41. Bayesian Dark Knowledge ↗arXiv (Cornell University) · no summary yetAnoop Korattikara et al.2015 · 197 citations
  42. Positive tensor factorization ↗Pattern Recognition Letters · no summary yetMax Welling, Markus Weber2001 · 171 citations
  43. Collapsed variational Dirichlet process mixture models ↗no summary yetKenichi Kurihara, Max Welling, Yee Whye Teh2007 · 168 citations
  44. Equivariant 3D-conditional diffusion model for molecular linker design ↗Nature Machine Intelligence · no summary yetIlia Igashov et al.2024 · 167 citations
  45. Gauge Equivariant Convolutional Networks and the Icosahedral CNN ↗arXiv (Cornell University) · no summary yetTaco Cohen et al.2019 · 165 citations
  46. Quantum mechanics of a point particle in -dimensional gravity ↗Classical and Quantum Gravity · no summary yetHans-Jürgen Matschull, Max Welling1998 · 163 citations
  47. Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget ↗UvA-DARE (University of Amsterdam) · no summary yetAnoop Korattikara, Yutian Chen, Max Welling2013 · 158 citations
  48. Spherical CNNs ↗arXiv (Cornell University) · no summary yetTaco Cohen et al.2018 · 156 citations
  49. E(n) Equivariant Graph Neural Networks ↗arXiv (Cornell University) · no summary yetVíctor García Satorras, Emiel Hoogeboom, Max Welling2021 · 155 citations
  50. Super-Samples from Kernel Herding ↗arXiv (Cornell University) · no summary yetYutian Chen, Max Welling, Alex J. Smola2012 · 153 citations
  51. Collapsed Variational Inference for HDP ↗no summary yetYee Whye Teh, Kenichi Kurihara, Max Welling2007 · 148 citations
  52. Asynchronous Distributed Learning of Topic Models ↗neural information processing systems · no summary yetPadhraic Smyth, Max Welling, Arthur Asuncion2008 · 143 citations
  53. Equivariant Diffusion for Molecule Generation in 3D ↗arXiv (Cornell University) · no summary yetEmiel Hoogeboom et al.2022 · 141 citations
  54. Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetIan Porteous, Arthur Asuncion, Max Welling2010 · 135 citations
  55. Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation ↗Cognitive Science · no summary yetGeoffrey E. Hinton et al.2006 · 135 citations
  56. Learning Sparse Topographic Representations with Products of Student-t Distributions ↗neural information processing systems · no summary yetMax Welling, Simon Osindero, Geoffrey E. Hinton2002 · 132 citations
  57. Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetJames R. Foulds et al.2013 · 131 citations
  58. Sylvester Normalizing Flows for Variational Inference ↗UvA-DARE (University of Amsterdam) · no summary yetRianne van den Berg et al.2018 · 128 citations
  59. Quantum Mechanics of a Point Particle in 2+1 Dimensional Gravity ↗no summary yetHans-Jürgen Matschull, Max Welling1998 · 117 citations
  60. Deep Policy Dynamic Programming for Vehicle Routing Problems ↗Lecture notes in computer science · no summary yetWouter Kool et al.2022 · 116 citations
  61. Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring ↗UvA-DARE (University of Amsterdam) · no summary yetSungjin Ahn, Anoop Korattikara, Max Welling2012 · 114 citations
  62. Guided Variational Autoencoder for Disentanglement Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZheng Ding et al.2020 · 112 citations
  63. Unsupervised learning of visual taxonomies ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetEvgeniy Bart et al.2008 · 110 citations
  64. Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions ↗arXiv (Cornell University) · no summary yetEmiel Hoogeboom et al.2021 · 109 citations
  65. Topographic Product Models Applied to Natural Scene Statistics ↗Neural Computation · no summary yetSimon Osindero, Max Welling, Geoffrey E. Hinton2005 · 108 citations
  66. The rate adapting poisson model for information retrieval and object recognition ↗International Conference on Machine Learning · no summary yetPeter Gehler, Alex D. Holub, Max Welling2006 · 102 citations
  67. VAE with a VampPrior ↗UvA-DARE (University of Amsterdam) · no summary yetJakub M. Tomczak, Max Welling2017 · 99 citations
  68. Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation ↗arXiv (Cornell University) · no summary yetMax Welling, Yee Whye Teh2013 · 98 citations
  69. Soft Weight-Sharing for Neural Network Compression ↗arXiv (Cornell University) · no summary yetKaren Ullrich, Edward Meeds, Max Welling2017 · 96 citations
  70. Recurrent Inference Machines for Solving Inverse Problems ↗arXiv (Cornell University) · no summary yetPatrick Putzky, Max Welling2017 · 95 citations
  71. Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors ↗arXiv (Cornell University) · no summary yetChristos Louizos, Max Welling2016 · 94 citations
  72. GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation ↗UvA-DARE (University of Amsterdam) · no summary yetEdward Meeds, Max Welling2014 · 94 citations
  73. Combining generative models and Fisher kernels for object recognition ↗no summary yetAlex D. Holub, Max Welling, Pietro Perona2005 · 93 citations
  74. Improving Variational Auto-Encoders using Householder Flow ↗arXiv (Cornell University) · no summary yetJakub M. Tomczak, Max Welling2016 · 90 citations
  75. Deep Scale-spaces: Equivariance Over Scale ↗UvA-DARE (University of Amsterdam) · no summary yetDaniel E. Worrall, Max Welling2019 · 89 citations
  76. Bayesian Bits: Unifying Quantization and Pruning ↗arXiv (Cornell University) · no summary yetMart van Baalen et al.2020 · 88 citations
  77. DIVA: Domain Invariant Variational Autoencoders ↗arXiv (Cornell University) · no summary yetMaximilian Ilse et al.2019 · 88 citations
  78. Recurrent inference machines for reconstructing heterogeneous MRI data ↗Medical Image Analysis · no summary yetKai Lønning et al.2019 · 87 citations
  79. Supervised Uncertainty Quantification for Segmentation with Multiple Annotations ↗Lecture notes in computer science · no summary yetHu Shi et al.2019 · 87 citations
  80. Contrastive Learning of Structured World Models ↗arXiv (Cornell University) · no summary yetThomas Kipf, Elise van der Pol, Max Welling2019 · 82 citations
  81. Message Passing Neural PDE Solvers ↗arXiv (Cornell University) · no summary yetJ. Brandstetter, Daniel E. Worrall, Max Welling2022 · 81 citations
  82. Multi-HDP: a non parametric Bayesian model for tensor factorization ↗no summary yetIan R. Porteous, Evgeniy Bart, Max Welling2008 · 81 citations
  83. Distributed Stochastic Gradient MCMC ↗UvA-DARE (University of Amsterdam) · no summary yetSungjin Ahn, Babak Shahbaba, Max Welling2014 · 80 citations
  84. BOCK : Bayesian Optimization with Cylindrical Kernels ↗arXiv (Cornell University) · no summary yetChangYong Oh, Efstratios Gavves, Max Welling2018 · 74 citations
  85. Buy 4 REINFORCE Samples, Get a Baseline for Free! ↗International Conference on Learning Representations · no summary yetWouter Kool, Herke van Hoof, Max Welling2019 · 71 citations
  86. Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data ↗Data Archiving and Networked Services (DANS) · no summary yetSindy Löwe et al.2020 · 70 citations
  87. Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement ↗arXiv (Cornell University) · no summary yetWouter Kool, Herke van Hoof, Max Welling2019 · 70 citations
  88. Data-driven Reconstruction of Gravitationally Lensed Galaxies Using Recurrent Inference Machines ↗The Astrophysical Journal · no summary yetWarren R. Morningstar et al.2019 · 70 citations
  89. A New Learning Algorithm for Mean Field Boltzmann Machines ↗Lecture notes in computer science · no summary yetMax Welling, Geoffrey E. Hinton2002 · 70 citations
  90. Bayesian k-Means as a “Maximization-Expectation” Algorithm ↗Neural Computation · no summary yetKenichi Kurihara, Max Welling2008 · 69 citations
  91. RE-MIMO: Recurrent and Permutation Equivariant Neural MIMO Detection ↗IEEE Transactions on Signal Processing · no summary yetKumar Pratik, Bhaskar D. Rao, Max Welling2020 · 67 citations
  92. Bayesian K-Means as a “Maximization-Expectation” Algorithm ↗SIAM International Conference on Data Mining · no summary yetMax Welling, Kenichi Kurihara2006 · 63 citations
  93. Learning Likelihoods with Conditional Normalizing Flows ↗arXiv (Cornell University) · no summary yetChristina Winkler et al.2019 · 56 citations
  94. Learning the Irreducible Representations of Commutative Lie Groups ↗UvA-DARE (University of Amsterdam) · no summary yetTaco Cohen, Max Welling2014 · 55 citations
  95. Deep Spiking Networks ↗arXiv (Cornell University) · no summary yetPeter O’Connor, Max Welling2016 · 54 citations
  96. Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetSungjin Ahn et al.2015 · 54 citations
  97. Batch-Shaping for Learning Conditional Channel Gated Networks ↗arXiv (Cornell University) · no summary yetBabak Ehteshami Bejnordi, Tijmen Blankevoort, Max Welling2019 · 53 citations
  98. Emerging Convolutions for Generative Normalizing Flows ↗arXiv (Cornell University) · no summary yetEmiel Hoogeboom, Rianne van den Berg, Max Welling2019 · 53 citations
  99. Energy-Based Models for Sparse Overcomplete Representations ↗no summary yetYee Whye Teh et al.2003 · 53 citations
  100. Neural Enhanced Belief Propagation on Factor Graphs ↗arXiv (Cornell University) · no summary yetVíctor García Satorras, Max Welling2020 · 52 citations

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