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Max Welling — all works

468 works · page 4 of 5 · 301–400 · ← Max Welling

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  1. Robust Data-Driven Dynamic Programming ↗Infoscience (Ecole Polytechnique Fédérale de Lausanne) · no summary yetBurges, C. J. C. et al.2013 · 2 citations
  2. Herding: driving deterministic dynamics to learn and sample probabilistic models ↗no summary yetMax Welling, Yutian Chen2013 · 2 citations
  3. Exchangeable inconsistent priors for Bayesian posterior inference ↗Information Theory and Applications Workshop (ITA) · no summary yetMax Welling, Ian Porteous, Kenichi Kurihara2012 · 2 citations
  4. Integrating local classifiers through nonlinear dynamics on label graphs with an application to image segmentation ↗International Conference on Computer Vision · no summary yetYutian Chen et al.2011 · 2 citations
  5. Bayesian extreme components analysis ↗no summary yetYutian Chen, Max Welling2009 · 2 citations
  6. The Pauli - Lubanski scalar in the polygon approach to (2+1)-dimensional gravity ↗Classical and Quantum Gravity · no summary yetMax Welling, M. Bijlsma1996 · 2 citations
  7. Purrception: Variational Flow Matching for Vector-Quantized Image Generation ↗arXiv (Cornell University) · no summary yetRǎzvan-Andrei Matişan et al.2025 · 1 citation
  8. Kuramoto Orientation Diffusion Models ↗neural information processing systems · no summary yetYue Song et al.2025 · 1 citation
  9. Structured Representation Learning ↗Synthesis lectures on computer vision · no summary yetYue Song et al.2025 · 1 citation
  10. Topographic Variational Autoencoders ↗Synthesis lectures on computer vision · no summary yetYue Song et al.2025 · 1 citation
  11. Unsupervised Representation Learning From Sparse Transformation Analysis ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetYue Song et al.2025 · 1 citation
  12. The END: An Equivariant Neural Decoder for Quantum Error Correction ↗arXiv (Cornell University) · no summary yetEvgenii Egorov, Roberto Bondesan, Max Welling2023 · 1 citation
  13. Efficient Causal Inference from Combined Observational and Interventional Data through Causal Reductions ↗arXiv (Cornell University) · no summary yetMaximilian Ilse et al.2021 · 1 citation
  14. Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks ↗arXiv (Cornell University) · no summary yetAnna Kuzina, Max Welling, Jakub M. Tomczak2021 · 1 citation
  15. An Expectation-Maximization Perspective on Federated Learning ↗arXiv (Cornell University) · no summary yetChristos Louizos et al.2021 · 1 citation
  16. Federated Averaging as Expectation Maximization ↗no summary yetChristos Louizos et al.2021 · 1 citation
  17. Mixed Variable Bayesian Optimization with Frequency Modulated Kernels ↗arXiv (Cornell University) · no summary yetChangYong Oh, Efstratios Gavves, Max Welling2021 · 1 citation
  18. Stochastic Thermodynamics ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2019 · 1 citation
  19. Training a Network of Spiking Neurons with Equilibrium Propagation ↗no summary yetPeter O’Connor, Efstratios Gavves, Max Welling2018 · 1 citation
  20. Predictive Uncertainty through Quantization ↗arXiv (Cornell University) · no summary yetBastiaan S. Veeling, Rianne van den Berg, Max Welling2018 · 1 citation
  21. A note on privacy preserving iteratively reweighted least squares ↗arXiv (Cornell University) · no summary yetMijung Park, Max Welling2016 · 1 citation
  22. Visualizing Deep Neural Network Decisions ↗ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · no summary yetLuisa Zintgraf et al.2016 · 1 citation
  23. Herded Gibbs Sampling ↗UvA-DARE (University of Amsterdam) · no summary yetLuke Bornn et al.2013 · 1 citation
  24. Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 1 ↗no summary yetChris J. C. Burges et al.2013 · 1 citation
  25. Machine Learning on Very Large Data Sets: Distributed Gibbs Sampling for Latent Variable Models ↗no summary yetDavid J. Newman et al.2012 · 1 citation
  26. Semisupervised Classifier Evaluation and Recalibration ↗arXiv (Cornell University) · no summary yetPeter Welinder, Max Welling, Pietro Perona2012 · 1 citation
  27. Bayesian Random Fields: The Bethe-Laplace Approximation ↗arXiv (Cornell University) · no summary yetMax Welling, Sridevi Parise2012 · 1 citation
  28. Unsupervised learning of object classes from natural scenes ↗Journal of Vision · no summary yetPietro Perona, M. Weber, Max Welling2010 · 1 citation
  29. An Expectation Maximization Algorithm for Inferring Offset-Normal Shape Distributions. ↗no summary yetMax Welling2005 · 1 citation
  30. Approximate Contrastive Free Energies for Learning in Undirected Graphical Models ↗no summary yetMax Welling, Geoffrey E. Hinton2001 · 1 citation
  31. Discovering and decoding latent mean-field structure with variational autoencoders ↗arXiv (Cornell University) · no summary yetMarco Biroli, Max Welling, Vincenzo Vitelli2026
  32. Kernel-Gradient Drifting Models ↗arXiv (Cornell University) · no summary yetMaria Esteban-Casadevall et al.2026
  33. BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models ↗arXiv (Cornell University) · no summary yetDario Coscia, Sindy Löwe, Max Welling2026
  34. Stochastic Counterdiabatic Driving via Biorthogonal Liouvillian Eigenmodes ↗arXiv (Cornell University) · no summary yetSandeep S. Cranganore et al.2026
  35. AVQ-Attention: Adaptive Vector-Quantized Attention ↗arXiv (Cornell University) · no summary yetWinfried van den Dool et al.2026
  36. Spontaneous symmetry breaking and Goldstone modes for deep information propagation ↗arXiv (Cornell University) · no summary yetNabil Iqbal et al.2026
  37. Flowing with Confidence ↗arXiv (Cornell University) · no summary yetFriso de Kruiff et al.2026
  38. Krause Synchronization Transformers ↗arXiv (Cornell University) · no summary yetJingkun Liu et al.2026
  39. Robust Stochastic Gradient Posterior Sampling with Lattice Based Discretisation ↗arXiv (Cornell University) · no summary yetZier Mensch et al.2026
  40. QMaxCal: Path-Space Regularization for Open Quantum Control via Girsanov's Theorem ↗arXiv (Cornell University) · no summary yetMerijn Moody et al.2026
  41. Reconciling Causality and Non-Equilibrium Thermodynamics with Hamiltonian Causal Models ↗arXiv (Cornell University) · no summary yetDario Rancati, Max Welling, Francesco Locatello2026
  42. Private PoEtry: Private In-Context Learning via Product of Experts ↗arXiv (Cornell University) · no summary yetRob Romijnders et al.2026
  43. Belief Propagation ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  44. Continuous Normalizing Flows and Flow Matching ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  45. Continuous-Time Probabilistic Dynamics ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  46. Discrete-Time Stochastic Dynamics ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  47. Epilogue ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  48. Escorted Free Energy Estimations and Fluctuation Theorems ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  49. Fluctuation Theorems ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  50. Free Energy Estimation ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  51. Generative AI and Stochastic Thermodynamics ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  52. Generative Flow Networks ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  53. Hybrid Stochastic Flows and Surjective Flows ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  54. Latent Variable Models and Graphical Models ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  55. Markov Chain Monte Carlo ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  56. Markov Processes and Time Reversal ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  57. Mathematical Preliminaries ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  58. Neural Network Preliminaries ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  59. Normalizing Flows ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  60. Optimal Control ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  61. Optimal Transport and Schrödinger Bridge ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  62. Physics Preliminaries ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  63. Preliminaries ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  64. Schrödinger Bridges ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  65. Sequential Importance Sampling ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  66. Stochastic Thermodynamics from the Fokker–Planck Equation ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  67. Thermodynamics of Probabilistic Machine Learning ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  68. Unification: Free Energy is All You Need ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  69. Variational Diffusion Models ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2026
  70. Adaptive Mesh-Quantization for Neural PDE Solvers ↗arXiv (Cornell University) · no summary yetWinfried van den Dool et al.2025
  71. Accelerating scientific discovery with the common task framework ↗arXiv (Cornell University) · no summary yetJ. Nathan Kutz et al.2025
  72. Background ↗Synthesis lectures on computer vision · no summary yetYue Song et al.2025
  73. Conclusion ↗Synthesis lectures on computer vision · no summary yetYue Song et al.2025
  74. Flow Factorized Representation Learning ↗Synthesis lectures on computer vision · no summary yetYue Song et al.2025
  75. Introduction ↗Synthesis lectures on computer vision · no summary yetYue Song et al.2025
  76. Langevin Flows for Modeling Neural Latent Dynamics ↗arXiv (Cornell University) · no summary yetYue Song et al.2025
  77. Latent Traversal as Potential Flows ↗Synthesis lectures on computer vision · no summary yetYue Song et al.2025
  78. Neural Wave Machines ↗Synthesis lectures on computer vision · no summary yetYue Song et al.2025
  79. Unsupervised Factorized Representation Learning Based on Sparse Transformation Analysis ↗Synthesis lectures on computer vision · no summary yetYue Song et al.2025
  80. The Variational Autoencoder ↗Cambridge University Press eBooks · no summary yetMax Welling, Sirui Lu, Lars Holdijk2025
  81. GUD: Generation with Unified Diffusion ↗arXiv (Cornell University) · no summary yetMathis Gerdes, Max Welling, Miranda C. N. Cheng2024
  82. DNA: Differentially private Neural Augmentation for contact tracing ↗arXiv (Cornell University) · no summary yetRob Romijnders et al.2024
  83. Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes ↗Lecture notes in computer science · no summary yetTim Bakker, Herke van Hoof, Max Welling2023
  84. Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels ↗UvA-DARE (University of Amsterdam) · no summary yetRoberto Bondesan et al.2023
  85. Differential Equations and Continuous-Time Deep Learning (Dagstuhl Seminar 22,332) ↗DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · no summary yetDuvenaud, David et al.2023
  86. Quantum Techniques in Machine Learning (QTML conference 2023) ↗CERN Document Server (European Organization for Nuclear Research) · no summary yetMax Welling2023
  87. On the Symmetries of the Synchronization Problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane ↗neural information processing systems · no summary yetGabriele Cesa et al.2022
  88. Recent Advancements in Tractable Probabilistic Inference (Dagstuhl Seminar 22,161) ↗DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · no summary yetPriyank Jaini et al.2022
  89. Adversarial Defense via Image Denoising with Chaotic Encryption ↗arXiv (Cornell University) · no summary yetHu, Shi, Eric Nalisnick, Max Welling2022
  90. Secure Federated Learning of User Verification Models ↗no summary yetHossein Hosseini et al.2021
  91. Particle Dynamics for Learning EBMs ↗arXiv (Cornell University) · no summary yetKirill Neklyudov, Priyank Jaini, Max Welling2021
  92. How Can Machine Learning Help Computer Vision in the Next Decade? ↗Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science · no summary yetMax Welling2021
  93. Self Normalizing Flows ↗arXiv (Cornell University) · no summary yetKeller, T. Anderson et al.2020
  94. Variational Bayes in Private Settings (VIPS) (Extended Abstract) ↗International Joint Conference on Artificial Intelligence · no summary yetJames R. Foulds et al.2020
  95. Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition ↗arXiv (Cornell University) · no summary yetShi Hu et al.2020
  96. Orbital MCMC ↗arXiv (Cornell University) · no summary yetKirill Neklyudov, Max Welling2020
  97. Deep Learning for Compute in Memory ↗no summary yetMatthias Reisser et al.2020
  98. 3D Equivariant Graph Neural Networks for Drug Discovery ↗no summary yetMax Welling2020
  99. Integrating Generative Modeling into Deep Learning. ↗International Conference on Pattern Recognition Applications and Methods · no summary yetMax Welling2020
  100. DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning ↗arXiv (Cornell University) · no summary yetFrederik Harder et al.2019

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