pith. sign in

Max Welling

Identifiers

  • name variant Max Welling 0.60 · backfill

Papers (100)

  1. Reconciling Causality and Non-Equilibrium Thermodynamics with Hamiltonian Causal Models cs.LG · 2026 · author #2
  2. Flowing with Confidence stat.ML · 2026 · author #3
  3. Spontaneous symmetry breaking and Goldstone modes for deep information propagation cs.LG · 2026 · author #5
  4. Kernel-Gradient Drifting Models cs.LG · 2026 · author #3
  5. BaLoRA: Bayesian Low-Rank Adaptation of Large Scale Models cs.LG · 2026 · author #3
  6. (Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models cs.LG · 2026 · author #3
  7. Krause Synchronization Transformers cs.LG · 2026 · author #3
  8. Differentiable probabilistic models of scientific imaging with the Fourier slice theorem cs.LG · 2019 · author #5
  9. Covariance in Physics and Convolutional Neural Networks cs.LG · 2019 · author #6
  10. Deep Scale-spaces: Equivariance Over Scale cs.LG · 2019 · author #2
  11. Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement cs.LG · 2019 · author #3
  12. Gauge Equivariant Convolutional Networks and the Icosahedral CNN cs.LG · 2019 · author #4
  13. Emerging Convolutions for Generative Normalizing Flows cs.LG · 2019 · author #3
  14. The Deep Weight Prior stat.ML · 2018 · author #5
  15. Predictive Uncertainty through Quantization cs.LG · 2018 · author #3
  16. Relaxed Quantization for Discretized Neural Networks cs.LG · 2018 · author #5
  17. Sinkhorn AutoEncoders cs.LG · 2018 · author #6
  18. Probabilistic Binary Neural Networks cs.LG · 2018 · author #2
  19. 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data cs.LG · 2018 · author #3
  20. Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks cs.CV · 2018 · author #5
  21. Rotation Equivariant CNNs for Digital Pathology cs.CV · 2018 · author #5
  22. Primal-Dual Wasserstein GAN stat.ML · 2018 · author #3
  23. Extraction of Airways using Graph Neural Networks cs.CV · 2018 · author #3
  24. Graphical Generative Adversarial Networks cs.LG · 2018 · author #2
  25. Mean Field Network based Graph Refinement with application to Airway Tree Extraction cs.CV · 2018 · author #2
  26. Attention, Learn to Solve Routing Problems! stat.ML · 2018 · author #3
  27. Sylvester Normalizing Flows for Variational Inference stat.ML · 2018 · author #4
  28. HexaConv cs.LG · 2018 · author #4
  29. Attention-based Deep Multiple Instance Learning cs.LG · 2018 · author #3
  30. Neural Relational Inference for Interacting Systems stat.ML · 2018 · author #4
  31. Spherical CNNs cs.LG · 2018 · author #4
  32. Learning Sparse Neural Networks through $L_0$ Regularization stat.ML · 2017 · author #2
  33. Deep Learning with Permutation-invariant Operator for Multi-instance Histopathology Classification cs.LG · 2017 · author #3
  34. Improved Bayesian Compression stat.ML · 2017 · author #3
  35. Convolutional Networks for Spherical Signals cs.LG · 2017 · author #4
  36. Temporally Efficient Deep Learning with Spikes cs.NE · 2017 · author #3
  37. Recurrent Inference Machines for Solving Inverse Problems cs.NE · 2017 · author #2
  38. Improving Variational Auto-Encoders using convex combination linear Inverse Autoregressive Flow stat.ML · 2017 · author #2
  39. Graph Convolutional Matrix Completion stat.ML · 2017 · author #3
  40. Causal Effect Inference with Deep Latent-Variable Models stat.ML · 2017 · author #6
  41. Bayesian Compression for Deep Learning stat.ML · 2017 · author #3
  42. VAE with a VampPrior cs.LG · 2017 · author #2
  43. Modeling Relational Data with Graph Convolutional Networks stat.ML · 2017 · author #6
  44. Multiplicative Normalizing Flows for Variational Bayesian Neural Networks stat.ML · 2017 · author #2
  45. Visualizing Deep Neural Network Decisions: Prediction Difference Analysis cs.CV · 2017 · author #4
  46. Soft Weight-Sharing for Neural Network Compression stat.ML · 2017 · author #3
  47. Steerable CNNs cs.LG · 2016 · author #2
  48. Improving Variational Auto-Encoders using Householder Flow cs.LG · 2016 · author #2
  49. Variational Graph Auto-Encoders stat.ML · 2016 · author #2
  50. Accelerating the BSM interpretation of LHC data with machine learning hep-ph · 2016 · author #6
  51. Sigma Delta Quantized Networks cs.NE · 2016 · author #2
  52. Variational Bayes In Private Settings (VIPS) stat.ML · 2016 · author #4
  53. Private Topic Modeling stat.ML · 2016 · author #4
  54. Semi-Supervised Classification with Graph Convolutional Networks cs.LG · 2016 · author #2
  55. Automatic Variational ABC stat.ML · 2016 · author #5
  56. Improving Variational Inference with Inverse Autoregressive Flow cs.LG · 2016 · author #6
  57. A note on privacy preserving iteratively reweighted least squares cs.CR · 2016 · author #2
  58. DP-EM: Differentially Private Expectation Maximization cs.LG · 2016 · author #4
  59. On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis cs.LG · 2016 · author #3
  60. Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors stat.ML · 2016 · author #2
  61. A New Method to Visualize Deep Neural Networks cs.CV · 2016 · author #3
  62. Deep Spiking Networks cs.NE · 2016 · author #2
  63. Group Equivariant Convolutional Networks cs.LG · 2016 · author #2
  64. Herding as a Learning System with Edge-of-Chaos Dynamics stat.ML · 2016 · author #2
  65. The Variational Fair Autoencoder stat.ML · 2015 · author #4
  66. Scalable MCMC for Mixed Membership Stochastic Blockmodels cs.LG · 2015 · author #3
  67. Bayesian Dark Knowledge cs.LG · 2015 · author #4
  68. Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference cs.LG · 2015 · author #2
  69. Variational Dropout and the Local Reparameterization Trick stat.ML · 2015 · author #3
  70. Harmonic Exponential Families on Manifolds stat.ML · 2015 · author #2
  71. Hamiltonian ABC stat.ML · 2015 · author #3
  72. Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC cs.LG · 2015 · author #5
  73. Transformation Properties of Learned Visual Representations cs.LG · 2014 · author #2
  74. POPE: Post Optimization Posterior Evaluation of Likelihood Free Models stat.ML · 2014 · author #6
  75. MLitB: Machine Learning in the Browser cs.DC · 2014 · author #5
  76. Markov Chain Monte Carlo and Variational Inference: Bridging the Gap stat.CO · 2014 · author #3
  77. Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior cs.LG · 2014 · author #2
  78. Semi-Supervised Learning with Deep Generative Models cs.LG · 2014 · author #4
  79. Exploiting the Statistics of Learning and Inference cs.LG · 2014 · author #1
  80. Learning the Irreducible Representations of Commutative Lie Groups cs.LG · 2014 · author #2
  81. Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets cs.LG · 2014 · author #2
  82. GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation cs.LG · 2014 · author #2
  83. Auto-Encoding Variational Bayes stat.ML · 2013 · author #2
  84. Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation cs.LG · 2013 · author #5
  85. Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget cs.LG · 2013 · author #3
  86. Herded Gibbs Sampling cs.LG · 2013 · author #6
  87. Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation cs.AI · 2013 · author #1
  88. Efficient Parametric Projection Pursuit Density Estimation cs.LG · 2012 · author #1
  89. A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation cs.AI · 2012 · author #1
  90. Generalized Belief Propagation on Tree Robust Structured Region Graphs cs.AI · 2012 · author #2
  91. Semisupervised Classifier Evaluation and Recalibration cs.LG · 2012 · author #2
  92. On the Choice of Regions for Generalized Belief Propagation cs.AI · 2012 · author #1
  93. Structured Region Graphs: Morphing EP into GBP cs.AI · 2012 · author #1
  94. Bayesian Random Fields: The Bethe-Laplace Approximation cs.LG · 2012 · author #1
  95. Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation stat.ME · 2012 · author #4
  96. Hybrid Variational/Gibbs Collapsed Inference in Topic Models cs.LG · 2012 · author #1
  97. Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior stat.ML · 2012 · author #2
  98. Herding Dynamic Weights for Partially Observed Random Field Models cs.LG · 2012 · author #1
  99. On Smoothing and Inference for Topic Models cs.LG · 2012 · author #2
  100. Super-Samples from Kernel Herding cs.LG · 2012 · author #2

Mentions

  • 1511.00830 #4 · backfill · confidence 0.70 Max Welling
  • 1510.04815 #3 · backfill · confidence 0.70 Max Welling
  • 2606.04822 #2 · arxiv_oai · confidence 0.70 Max Welling
  • 1506.04416 #4 · backfill · confidence 0.70 Max Welling
  • 1506.03693 #2 · backfill · confidence 0.70 Max Welling
  • 1506.02557 #3 · backfill · confidence 0.70 Max Welling
  • 1505.04413 #2 · backfill · confidence 0.70 Max Welling
  • 1503.01916 #3 · backfill · confidence 0.70 Max Welling
  • 1503.01596 #5 · backfill · confidence 0.70 Max Welling
  • 1412.7659 #2 · backfill · confidence 0.70 Max Welling
  • 1412.3051 #6 · backfill · confidence 0.70 Max Welling
  • 1412.2432 #5 · backfill · confidence 0.70 Max Welling
  • 1410.6460 #3 · backfill · confidence 0.70 Max Welling
  • 1408.2047 #2 · backfill · confidence 0.70 Max Welling
  • 1406.5298 #4 · backfill · confidence 0.70 Max Welling
  • 1402.7025 #1 · backfill · confidence 0.70 Max Welling
  • 1402.4437 #2 · backfill · confidence 0.70 Max Welling
  • 1402.0480 #2 · backfill · confidence 0.70 Max Welling
  • 1401.2838 #2 · backfill · confidence 0.70 Max Welling
  • 1312.6114 #2 · backfill · confidence 0.70 Max Welling
  • 1305.2452 #5 · backfill · confidence 0.70 Max Welling
  • 1304.5299 #3 · backfill · confidence 0.70 Max Welling
  • 2602.11534 #3 · arxiv_oai · confidence 0.70 Max Welling
  • 1301.4168 #6 · backfill · confidence 0.70 Max Welling
  • 1301.2317 #1 · backfill · confidence 0.70 Max Welling
  • 1212.2513 #1 · backfill · confidence 0.70 Max Welling
  • 1210.4916 #1 · backfill · confidence 0.70 Max Welling
  • 1210.4857 #2 · backfill · confidence 0.70 Max Welling
  • 1210.2162 #2 · backfill · confidence 0.70 Max Welling
  • 1207.4158 #1 · backfill · confidence 0.70 Max Welling
  • 1207.1426 #1 · backfill · confidence 0.70 Max Welling
  • 1206.6868 #1 · backfill · confidence 0.70 Max Welling
  • 1206.6845 #4 · backfill · confidence 0.70 Max Welling
  • 1206.3297 #1 · backfill · confidence 0.70 Max Welling
  • 1206.1088 #2 · backfill · confidence 0.70 Max Welling
  • 1205.2662 #2 · backfill · confidence 0.70 Max Welling
  • 1205.2605 #1 · backfill · confidence 0.70 Max Welling
  • 1203.3472 #2 · backfill · confidence 0.70 Max Welling
  • 2605.18472 #3 · arxiv_oai · confidence 0.70 Max Welling
  • 2604.16429 #3 · arxiv_oai · confidence 0.70 Max Welling

Frequent Coauthors