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Max Welling — all works

468 works · page 3 of 5 · 201–300 · ← Max Welling

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  1. Variational Flow Matching for Graph Generation ↗neural information processing systems · no summary yetFloor Eijkelboom et al.2024 · 11 citations
  2. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ↗arXiv (Cornell University) · no summary yetTheodore Papamarkou et al.2024 · 11 citations
  3. Topographic VAEs learn Equivariant Capsules ↗arXiv (Cornell University) · no summary yetKeller, T. Anderson, Max Welling2021 · 11 citations
  4. Predictive Coding with Topographic Variational Autoencoders ↗IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · no summary yetT. Anderson Keller, Max Welling2021 · 11 citations
  5. E(n) Equivariant Normalizing Flows for Molecule Generation in 3D ↗arXiv (Cornell University) · no summary yetVíctor García Satorras et al.2021 · 11 citations
  6. Covariance in Physics and Convolutional Neural Networks ↗arXiv (Cornell University) · no summary yetMiranda C. N. Cheng et al.2019 · 11 citations
  7. Primal-Dual Wasserstein GAN ↗arXiv (Cornell University) · no summary yetMevlana Gemici, Zeynep Akata, Max Welling2018 · 11 citations
  8. Improved Bayesian Compression ↗arXiv (Cornell University) · no summary yetMarco Federici, Karen Ullrich, Max Welling2017 · 11 citations
  9. Tenth International Workshop on Artificial Intelligence and Statistics ↗no summary yetMax Welling, Charles A. Sutton2005 · 11 citations
  10. Geometric Clifford Algebra Networks ↗arXiv (Cornell University) · no summary yetDavid Ruhe et al.2023 · 10 citations
  11. Probabilistic Numeric Convolutional Neural Networks ↗arXiv (Cornell University) · no summary yetMarc Finzi, Roberto Bondesan, Max Welling2020 · 10 citations
  12. Meta-Learning for Medical Image Classification ↗no summary yetShi Hu, Jakub M. Tomczak, Max Welling2018 · 10 citations
  13. Mean Field Network Based Graph Refinement with Application to Airway Tree Extraction ↗Lecture notes in computer science · no summary yetRaghavendra Selvan et al.2018 · 10 citations
  14. Temporally Efficient Deep Learning with Spikes ↗arXiv (Cornell University) · no summary yetO'Connor, Peter, Efstratios Gavves, Max Welling2017 · 10 citations
  15. Flexible Priors for Infinite Mixture Models ↗no summary yetMax Welling2006 · 10 citations
  16. Probabilistic Sequential Independent Components Analysis ↗IEEE Transactions on Neural Networks · no summary yetMax Welling, Richard S. Zemel, Geoffrey E. Hinton2004 · 10 citations
  17. Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths ↗neural information processing systems · no summary yetLars Holdijk et al.2023 · 9 citations
  18. Differentiable probabilistic models of scientific imaging with the Fourier slice theorem ↗arXiv (Cornell University) · no summary yetKaren Ullrich et al.2019 · 9 citations
  19. Approximate Slice Sampling for Bayesian Posterior Inference ↗UvA-DARE (University of Amsterdam) · no summary yetChristopher DuBois et al.2014 · 9 citations
  20. Statistical Tests for Optimization Efficiency ↗ProQuest Demo Repository · no summary yetLevi Boyles et al.2011 · 9 citations
  21. The torus universe in the polygon approach to (2 + 1)-dimensional gravity ↗Classical and Quantum Gravity · no summary yetMax Welling1997 · 9 citations
  22. Training a Spiking Neural Network with Equilibrium Propagation ↗UvA-DARE (University of Amsterdam) · no summary yetPeter O’Connor, Efstratios Gavves, Max Welling2019 · 8 citations
  23. Combinatorial Bayesian Optimization using Graph Representations. ↗no summary yetChangYong Oh et al.2019 · 8 citations
  24. Scalable Overlapping Community Detection ↗IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) · no summary yetIsmail El-Helw et al.2016 · 8 citations
  25. Practical Privacy For Expectation Maximization. ↗arXiv (Cornell University) · no summary yetMijung Park et al.2016 · 8 citations
  26. Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior ↗UvA-DARE (University of Amsterdam) · no summary yetYutian Chen, Max Welling2012 · 8 citations
  27. Base Station Localization in Search of Empty Spectrum Spaces in Cognitive Radio Networks ↗International Conference on Mobile Ad-Hoc and Sensor Networks (MSN) · no summary yetYuan Zhang et al.2009 · 8 citations
  28. Bayesian Model Scoring in Markov Random Fields ↗The MIT Press eBooks · no summary yetSridevi Parise, Max Welling2007 · 8 citations
  29. The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture ↗arXiv (Cornell University) · no summary yetSriram, Anuroop et al.2025 · 7 citations
  30. Artificial Kuramoto Oscillatory Neurons ↗arXiv (Cornell University) · no summary yetTakeru Miyato et al.2024 · 7 citations
  31. Equivariant and Coordinate Independent Convolutional Networks ↗WORLD SCIENTIFIC eBooks · no summary yetMaurice Weiler et al.2024 · 7 citations
  32. Lie Point Symmetry and Physics-Informed Networks ↗neural information processing systems · no summary yetTara Akhound-Sadegh et al.2023 · 7 citations
  33. Latent Traversals in Generative Models as Potential Flows ↗arXiv (Cornell University) · no summary yetSong, Yue et al.2023 · 7 citations
  34. The Convolution Exponential and Generalized Sylvester Flows ↗arXiv (Cornell University) · no summary yetEmiel Hoogeboom et al.2020 · 7 citations
  35. Experimental design for MRI by greedy policy search ↗arXiv (Cornell University) · no summary yetBakker, Tim, Herke van Hoof, Max Welling2020 · 7 citations
  36. Artificial Intelligence versus Intelligence Engineering ↗Harvard Data Science Review · no summary yetMax Welling2019 · 7 citations
  37. Private Topic Modeling ↗UvA-DARE (University of Amsterdam) · no summary yetMijung Park et al.2016 · 7 citations
  38. Protect Your Score: Contact-Tracing with Differential Privacy Guarantees ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetRob Romijnders et al.2024 · 6 citations
  39. The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning ↗arXiv (Cornell University) · no summary yetRoberto Bondesan, Max Welling2021 · 6 citations
  40. Gradient 1 Regularization for Quantization Robustness ↗arXiv (Cornell University) · no summary yetMilad Alizadeh et al.2020 · 6 citations
  41. Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification ↗arXiv (Cornell University) · no summary yetJakub M. Tomczak, Maximilian Ilse, Max Welling2017 · 6 citations
  42. Automatic Variational ABC ↗arXiv (Cornell University) · no summary yetMoreno, Alexander et al.2016 · 6 citations
  43. The Time-Marginalized Coalescent Prior for Hierarchical Clustering ↗UvA-DARE (University of Amsterdam) · no summary yetLevi Boyles, Max Welling2012 · 6 citations
  44. Hidden-Unit Conditional Random Fields ↗no summary yetLaurens van der Maaten, Max Welling, Lawrence K. Saul2012 · 6 citations
  45. Predicting simulation parameters of biological systems using a Gaussian process model ↗Statistical Analysis and Data Mining The ASA Data Science Journal · no summary yetXiangxin Zhu et al.2012 · 6 citations
  46. BARNN: A Bayesian Autoregressive and Recurrent Neural Network ↗arXiv (Cornell University) · no summary yetDario Coscia et al.2025 · 5 citations
  47. Perspectives on the State and Future of Deep Learning - 2023 ↗arXiv (Cornell University) · no summary yetMicah Goldblum et al.2023 · 5 citations
  48. Rotating Features for Object Discovery ↗UvA-DARE (University of Amsterdam) · no summary yetSindy Löwe et al.2023 · 5 citations
  49. Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation ↗neural information processing systems · no summary yetKirill Neklyudov et al.2023 · 5 citations
  50. Alleviating Adversarial Attacks on Variational Autoencoders with MCMC ↗neural information processing systems · no summary yetAnna Kuzina, Max Welling, Jakub M. Tomczak2022 · 5 citations
  51. Multi-Agent MDP Homomorphic Networks ↗arXiv (Cornell University) · no summary yetElise van der Pol et al.2021 · 5 citations
  52. Federated Learning of User Authentication Models ↗arXiv (Cornell University) · no summary yetHosseini, Hossein et al.2020 · 5 citations
  53. Initialized Equilibrium Propagation for Backprop-Free Training ↗UvA-DARE (University of Amsterdam) · no summary yetPeter O’Connor, Efstratios Gavves, Max Welling2019 · 5 citations
  54. To Relieve Your Headache of Training an MRF, Take AdVIL ↗arXiv (Cornell University) · no summary yetChongxuan Li et al.2019 · 5 citations
  55. A deep multiple instance model to predict prostate cancer metastasis from nuclear morphology ↗no summary yetNathan Ing et al.2018 · 5 citations
  56. Herded gibbs sampling ↗UvA-DARE (University of Amsterdam) · no summary yetYutian Chen et al.2016 · 5 citations
  57. Scalable Inference on Kingman's Coalescent using Pair Similarity ↗no summary yetDilan Görür, Levi Boyles, Max Welling2012 · 5 citations
  58. Efficient Parametric Projection Pursuit Density Estimation ↗arXiv (Cornell University) · no summary yetMax Welling, Richard S. Zemel, Geoffrey E. Hinton2012 · 5 citations
  59. Distributed Gibbs Sampling for Latent Variable Models ↗Cambridge University Press eBooks · no summary yetArthur Asuncion et al.2011 · 5 citations
  60. Infinite State Bayes-Nets for Structured Domains ↗neural information processing systems · no summary yetMax Welling, Ian R. Porteous, Evgeniy Bart2007 · 5 citations
  61. Linear Response for Approximate Inference ↗no summary yetMax Welling, Yee Whye Teh2003 · 5 citations
  62. Passing and Bouncing Messages for Generalised Inference ↗UCL Discovery (University College London) · no summary yetYee Whye Teh, Max Welling2001 · 5 citations
  63. Learned free-energy functionals from pair-correlation matching for dynamical density functional theory ↗Physical review. E · no summary yetKarnik Ram et al.2025 · 4 citations
  64. GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers ↗arXiv (Cornell University) · no summary yetTakeru Miyato et al.2023 · 4 citations
  65. Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders ↗arXiv (Cornell University) · no summary yetKeller, T. Anderson, Qinghe Gao, Max Welling2021 · 4 citations
  66. Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent ↗arXiv (Cornell University) · no summary yetPriyank Jaini, Lars Holdijk, Max Welling2021 · 4 citations
  67. Modality-Agnostic Topology Aware Localization ↗neural information processing systems · no summary yetFarhad Ghazvinian Zanjani et al.2021 · 4 citations
  68. Involutive MCMC: a Unifying Framework ↗arXiv (Cornell University) · no summary yetKirill Neklyudov et al.2020 · 4 citations
  69. Advances in neural information processing systems 26: 27th Annual Conference on Neural Information Processing Systems 2013: December 5-10, Lake Tahoe, Nevada, USA ↗no summary yetChris J. C. Burges et al.2014 · 4 citations
  70. Exploiting the Statistics of Learning and Inference ↗arXiv (Cornell University) · no summary yetMax Welling2014 · 4 citations
  71. Generalized Belief Propagation on Tree Robust Structured Region Graphs ↗UvA-DARE (University of Amsterdam) · no summary yetAndrew E. Gelfand, Max Welling2012 · 4 citations
  72. A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation ↗arXiv (Cornell University) · no summary yetMax Welling, Andrew E. Gelfand, Alexander Ihler2012 · 4 citations
  73. Networks of mixture blocks for non parametric bayesian models with applications ↗no summary yetMax Welling, Ian R. Porteous2010 · 4 citations
  74. Winding solutions for the two-particle system in gravity ↗Classical and Quantum Gravity · no summary yetMax Welling1998 · 4 citations
  75. Pauli-Lubanski scalar in the Polygon Approach to 2+1-Dimensional Gravity ↗no summary yetMax Welling, M. Bijlsma1996 · 4 citations
  76. Categorical Flow Maps ↗arXiv (Cornell University) · no summary yetDaan Roos et al.2026 · 3 citations
  77. Controlled Generation with Equivariant Variational Flow Matching ↗UvA-DARE (University of Amsterdam) · no summary yetFloor Eijkelboom et al.2025 · 3 citations
  78. Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems ↗arXiv (Cornell University) · no summary yetZhdanov, Maksim, Max Welling, Jan-Willem van de Meent2025 · 3 citations
  79. Riemannian Variational Flow Matching for Material and Protein Design ↗arXiv (Cornell University) · no summary yetOlga Zaghen et al.2025 · 3 citations
  80. A Spatiotemporal Perspective on Dynamical Computation in Neural Information Processing Systems ↗PubMed · no summary yetT. Anderson Keller et al.2024 · 3 citations
  81. Efficient Neural PDE-Solvers using Quantization Aware Training ↗IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · no summary yetWinfried van den Dool et al.2023 · 3 citations
  82. Flow Factorized Representation Learning ↗neural information processing systems · no summary yetYue Song et al.2023 · 3 citations
  83. Bayesian Optimization for Macro Placement ↗arXiv (Cornell University) · no summary yetOh, Changyong et al.2022 · 3 citations
  84. Quantum Deformed Neural Networks ↗arXiv (Cornell University) · no summary yetRoberto Bondesan, Max Welling2020 · 3 citations
  85. Stochastic Activation Actor Critic Methods ↗Lecture notes in computer science · no summary yetWenling Shang et al.2020 · 3 citations
  86. Accelerating the BSM interpretation of LHC data with machine learning ↗arXiv (Cornell University) · no summary yetGianfranco Bertone et al.2016 · 3 citations
  87. Hamiltonian ABC ↗arXiv (Cornell University) · no summary yetEdward Meeds, Robert Leenders, Max Welling2015 · 3 citations
  88. Product of Edgeperts ↗Max Planck Institute for Plasma Physics · no summary yetPeter Gehler, Max Welling2005 · 3 citations
  89. One-particle Hilbert space of 2+1 dimensional gravity using non-commuting coordinates ↗Nuclear Physics B - Proceedings Supplements · no summary yetMax Welling1997 · 3 citations
  90. Some approaches to 2+1-dimensional gravity coupled to point-particles ↗arXiv (Cornell University) · no summary yetMax Welling1995 · 3 citations
  91. (Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models ↗arXiv:2604.16429 · no summary yetMaksim Zhdanov; Ana Lucic; Max Welling;, Jan-Willem van de Meent2026 · 2 citations
  92. BLIPs: Bayesian Learned Interatomic Potentials ↗arXiv (Cornell University) · no summary yetDario Coscia, de Haan, Pim, Max Welling2025 · 2 citations
  93. Binding Dynamics in Rotating Features ↗arXiv (Cornell University) · no summary yetSindy Löwe, Francesco Locatello, Max Welling2024 · 2 citations
  94. No time to waste: practical statistical contact tracing with few low-bit messages ↗UvA-DARE (University of Amsterdam) · no summary yetR. Romijnders et al.2023 · 2 citations
  95. Federated Learning of User Verification Models Without Sharing Embeddings ↗arXiv (Cornell University) · no summary yetHosseini, Hossein et al.2021 · 2 citations
  96. Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC ↗arXiv (Cornell University) · no summary yetPriyank Jaini, Didrik Nielsen, Max Welling2021 · 2 citations
  97. Deterministic Gibbs Sampling via Ordinary Differential Equations ↗arXiv (Cornell University) · no summary yetKirill Neklyudov, Roberto Bondesan, Max Welling2021 · 2 citations
  98. Argmax Flows: Learning Categorical Distributions with Normalizing Flows ↗no summary yetEmiel Hoogeboom et al.2020 · 2 citations
  99. Sequential Tests for Large-Scale Learning ↗Neural Computation · no summary yetAnoop Korattikara, Yutian Chen, Max Welling2015 · 2 citations
  100. The MIT Press ↗no summary yetSebastian Nowozin et al.2015 · 2 citations

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