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Max Welling

  1. Auto-Encoding Variational Bayes
    2013/12/20 by Diederik P. Kingma, Diederik P Kingma, Kingma, Diederik P +2 · 3 voices · 1071 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #Bayesian Methods and Mixture Models
  2. Semi-Supervised Classification with Graph Convolutional Networks
    2016/09/09 by Thomas Kipf, Kipf, Thomas N., Max Welling +1 · 1183 citations
    Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies
  3. Spherical CNNs
    2018/01/30 by Taco S. Cohen, Mario Geiger, Jonas Koehler +1 · 2 voices · 29 citations
    #cs.LG #stat.ML
  4. Variational Graph Auto-Encoders
    2016/11/21 by Thomas Kipf, Kipf, Thomas N., Max Welling +1 · 186 citations
    Computer Science · Physics and Astronomy · Biochemistry, Genetics and Molecular Biology · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Bioinformatics and Genomic Networks
  5. Attention-based Deep Multiple Instance Learning
    2018/02/13 by Maximilian Ilse, Ilse, Maximilian, Jakub M. Tomczak +3 · 136 citations
    Computer Science · #Image Retrieval and Classification Techniques #Video Analysis and Summarization #AI in cancer detection
  6. Semi-Supervised Learning with Deep Generative Models
    2014/06/20 by Diederik P. Kingma, Danilo Jimenez Rezende, Kingma, Diederik P. +5 · 120 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Bayesian Methods and Mixture Models
  7. Modeling Relational Data with Graph Convolutional Networks
    2017/03/17 by Michael Schlichtkrull, Schlichtkrull, Michael, Thomas Kipf +9 · 105 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Bayesian Modeling and Causal Inference
  8. E(n) Equivariant Graph Neural Networks
    2021/02/19 by Víctor García Satorras, Satorras, Victor Garcia, Emiel Hoogeboom +3 · 112 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Protein Structure and Dynamics
  9. Variational Dropout and the Local Reparameterization Trick
    2015/06/08 by Diederik P. Kingma, Kingma, Diederik P., Tim Salimans +3 · 87 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Algorithms #Machine Learning and Data Classification
  10. Attention, Learn to Solve Routing Problems!
    2018/03/22 by Wouter Kool, Herke van Hoof, Kool, Wouter +3 · 85 citations
    Engineering · Social Sciences · #Vehicle Routing Optimization Methods #Transportation and Mobility Innovations #Transportation Planning and Optimization
  11. Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
    2021/02/10 by Emiel Hoogeboom, Hoogeboom, Emiel, Didrik Nielsen +7 · 79 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Machine Learning in Healthcare
  12. Improving Variational Inference with Inverse Autoregressive Flow
    2016/06/15 by Diederik P. Kingma, Kingma, Diederik P., Tim Salimans +9 · 62 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Equivariant Diffusion for Molecule Generation in 3D
    2022/03/31 by Emiel Hoogeboom, Hoogeboom, Emiel, Víctor García Satorras +5 · 67 citations
    Materials Science · Computer Science · Biochemistry, Genetics and Molecular Biology · #Machine Learning in Materials Science #Computational Drug Discovery Methods #Cell Image Analysis Techniques
  14. Scientific discovery in the age of artificial intelligence
    2023/08/02 by Hanchen Wang, Tianfan Fu, Yuanqi Du +32 · 89 citations
    Biochemistry, Genetics and Molecular Biology · Materials Science · #Cell Image Analysis Techniques #Genetics, Bioinformatics, and Biomedical Research #Machine Learning in Materials Science
  15. Learning Sparse Neural Networks through L0 Regularization
    2017/12/04 by Christos Louizos, Max Welling, Louizos, Christos +3 · 48 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
  16. Graph Convolutional Matrix Completion
    2017/06/07 by Rianne van den Berg, Thomas Kipf, Berg, Rianne van den +3 · 61 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Graph Theory and Algorithms
  17. Causal Effect Inference with Deep Latent-Variable Models
    2017/05/24 by Christos Louizos, Louizos, Christos, Uri Shalit +9 · 42 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Statistical Methods and Inference
  18. Rotation Equivariant CNNs for Digital Pathology
    2018/06/08 by Bastiaan S. Veeling, Veeling, Bastiaan S., Jasper Linmans +7 · 28 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #AI in cancer detection #Digital Imaging for Blood Diseases #Cell Image Analysis Techniques
  19. Message Passing Neural PDE Solvers
    2022/02/07 by J. Brandstetter, Brandstetter, Johannes, Daniel E. Worrall +3 · 37 citations
    Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
  20. Structure-based Drug Design with Equivariant Diffusion Models
    2022/10/24 by Arne Schneuing, Charles B. Harris, Schneuing, Arne +22 · 40 citations
    Computer Science · Medicine · Biochemistry, Genetics and Molecular Biology · #Computational Drug Discovery Methods #Monoclonal and Polyclonal Antibodies Research #Cancer-related gene regulation
  21. Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
    2019/03/14 by Wouter Kool, Herke van Hoof, Kool, Wouter +3 · 22 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  22. VAE with a VampPrior
    2017/05/19 by Jakub M. Tomczak, Tomczak, Jakub M., Max Welling +1 · 23 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #AI in cancer detection #Domain Adaptation and Few-Shot Learning
  23. Geometric and Physical Quantities Improve E(3) Equivariant Message Passing
    2021/10/06 by J. Brandstetter, Rob Hesselink, Brandstetter, Johannes +7 · 26 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications #Topic Modeling
  24. Bayesian Compression for Deep Learning
    2017/05/24 by Christos Louizos, Karen Ullrich, Louizos, Christos +3 · 1 voice · 5 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
  25. Artificial Kuramoto Oscillatory Neurons
    2024/10/17 by Takeru Miyato, Miyato, Takeru, Sindy Löwe +5 · 2 voices · 9 citations
    #cs.LG #cs.AI #stat.ML
  26. Learning Likelihoods with Conditional Normalizing Flows
    2019/11/29 by Christina Winkler, Winkler, Christina, Daniel E. Worrall +5 · 16 citations
    Computer Science · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. The Variational Fair Autoencoder
    2015/11/03 by Christos Louizos, Louizos, Christos, Kevin Swersky +7 · 13 citations
    Social Sciences · #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. Bayesian Dark Knowledge
    2015/06/14 by Anoop Korattikara, Korattikara, Anoop, Vivek Rathod +5 · 15 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
  29. A Foundation Model for the Earth System
    2024/05/20 by Cristian Bodnar, Wessel P. Bruinsma, Bodnar, Cristian +36 · 3 voices · 16 citations
    Physics and Astronomy · #Solar and Space Plasma Dynamics #cs.LG #physics.ao-ph
  30. Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
    2017/03/06 by Christos Louizos, Max Welling, Louizos, Christos +1 · 10 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  31. Neural Relational Inference for Interacting Systems
    2018/02/13 by Thomas Kipf, Kipf, Thomas, Ethan Fetaya +7 · 14 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Time Series Analysis and Forecasting
  32. Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
    2022/10/11 by Ilia Igashov, Igashov, Ilia, H. Stärk +13 · 13 citations
    Biochemistry, Genetics and Molecular Biology · #Protein Structure and Dynamics #RNA Research and Splicing #Genomics and Chromatin Dynamics
  33. Lie Point Symmetry Data Augmentation for Neural PDE Solvers
    2022/02/15 by J. Brandstetter, Max Welling, Brandstetter, Johannes +3 · 9 citations
    Physics and Astronomy · #Model Reduction and Neural Networks
  34. GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
    2023/10/16 by Takeru Miyato, Miyato, Takeru, Bernhard Jaeger +5 · 12 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  35. Contrastive Learning of Structured World Models
    2019/11/27 by Thomas Kipf, Kipf, Thomas, Elise van der Pol +3 · 7 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
  36. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
    2024/02/01 by Theodore Papamarkou, Maria Skoularidou, Papamarkou, Theodore +47 · 1 voice · 11 citations
    #cs.LG #stat.ML
  37. Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths
    2022/06/27 by Lars Holdijk, Yuanqi Du, Holdijk, Lars +9 · 9 citations
    Biochemistry, Genetics and Molecular Biology · Chemistry · #Biomolecules (q-bio.BM) #Chemical Physics (physics.chem-ph) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Mass Spectrometry Techniques and Applications #Receptor Mechanisms and Signaling
  38. Variational Flow Matching for Graph Generation
    2024/06/07 by Floor Eijkelboom, Grigory Bartosh, Eijkelboom, Floor +8 · 1 voice · 12 citations
    Computer Science · #Data Stream Mining Techniques #Reinforcement Learning in Robotics #Artificial Intelligence in Games
  39. Deep Policy Dynamic Programming for Vehicle Routing Problems
    2021/02/23 by Wouter Kool, Kool, Wouter, Herke van Hoof +5 · 7 citations
    Engineering · Computer Science · #Vehicle Routing Optimization Methods #Maritime Ports and Logistics #Optimization and Search Problems
  40. Coordinate Independent Convolutional Networks -- Isometry and Gauge Equivariant Convolutions on Riemannian Manifolds
    2021/06/10 by Maurice Weiler, Weiler, Maurice, Patrick Forré +5 · 6 citations
    Engineering · Computer Science · #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques #Advanced Vision and Imaging
  41. Lie Point Symmetry and Physics Informed Networks
    2023/11/07 by Tara Akhound-Sadegh, Laurence Perreault-Levasseur, Akhound-Sadegh, Tara +7 · 8 citations
    Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks
  42. Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric\n graphs
    2020/03/11 by Pim de Haan, Maurice Weiler, de Haan, Pim +5 · 6 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
  43. The Functional Neural Process
    2019/06/19 by Christos Louizos, Louizos, Christos, Xiahan Shi +5 · 4 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
  44. Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems
    2025/02/24 by Maksim Zhdanov, Zhdanov, Maksim, Max Welling +3 · 3 voices · 8 citations
    Computer Science · #Neural Networks and Applications
  45. Bayesian Bits: Unifying Quantization and Pruning
    2020/05/14 by Mart van Baalen, Christos Louizos, van Baalen, Mart +11 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  46. Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data
    2020/06/18 by Sindy Löwe, David Madras, Löwe, Sindy +5 · 5 citations
    Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #Advanced Graph Neural Networks
  47. Topographic VAEs learn Equivariant Capsules
    2021/09/03 by Timothy A. Keller, Keller, T. Anderson, Max Welling +1 · 4 citations
    Computer Science · #Image Processing and 3D Reconstruction #Music and Audio Processing #Generative Adversarial Networks and Image Synthesis
  48. Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders
    2021/10/25 by T. Anderson Keller, Keller, T. Anderson, Qinghe Gao +4 · 4 citations
    Neuroscience · Medicine · Computer Science · #Face Recognition and Perception #Advanced Neuroimaging Techniques and Applications #Medical Image Segmentation Techniques
  49. Integer Discrete Flows and Lossless Compression
    2019/05/17 by Emiel Hoogeboom, Jorn W. T. Peters, Hoogeboom, Emiel +5 · 3 citations
    Computer Science · #Algorithms and Data Compression #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing
  50. Complex-Valued Autoencoders for Object Discovery
    2022/04/05 by Sindy Löwe, Löwe, Sindy, Phillip Lippe +5 · 4 citations
    Computer Science · Neuroscience · Engineering · #Neural Networks and Applications #Neural dynamics and brain function #Advanced Memory and Neural Computing
  51. Plannable Approximations to MDP Homomorphisms: Equivariance under\n Actions
    2020/02/27 by Elise van der Pol, van der Pol, Elise, Thomas Kipf +5 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  52. Federated Mixture of Experts
    2021/07/14 by Matthias Reisser, Christos Louizos, Reisser, Matthias +5 · 4 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Mobile Crowdsensing and Crowdsourcing #Distributed Sensor Networks and Detection Algorithms
  53. A Cluster-Cumulant Expansion at the Fixed Points of Belief Propagation
    2012/10/16 by Max Welling, Welling, Max, Andrew E. Gelfand +3 · 2 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Fuzzy Systems and Optimization
  54. Estimating Gradients for Discrete Random Variables by Sampling without\n Replacement
    2020/02/14 by Wouter Kool, Kool, Wouter, Herke van Hoof +3 · 4 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Reinforcement Learning in Robotics
  55. Combining Generative and Discriminative Models for Hybrid Inference
    2019/06/06 by Víctor García Satorras, Satorras, Victor Garcia, Zeynep Akata +3 · 2 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Bayesian Modeling and Causal Inference #Time Series Analysis and Forecasting
  56. Traveling Waves Encode the Recent Past and Enhance Sequence Learning
    2023/09/03 by T. Anderson Keller, Keller, T. Anderson, Lyle Muller +5 · 4 citations
    Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function
  57. A Spatiotemporal Perspective on Dynamical Computation in Neural Information Processing Systems
    2024/09/20 by T. Anderson Keller, Lyle Muller, Keller, T. Anderson +5 · 2 voices · 3 citations
    Computer Science · #Cellular Automata and Applications #Neural Networks and Applications #Computability, Logic, AI Algorithms
  58. The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture
    2025/08/05 by Anuroop Sriram, Sriram, Anuroop, Logan M. Brabson +27 · 2 voices · 7 citations
    #cond-mat.mtrl-sci #cs.LG #physics.chem-ph
  59. Image segmentation with traveling waves in an exactly solvable recurrent neural network
    2023/11/28 by Luisa Helena Bartocci Liboni, Liboni, Luisa H. B., Roberto C. Budzinski +11 · 3 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · Neuroscience · #Neural Networks and Applications #Cell Image Analysis Techniques #Neural dynamics and brain function
  60. Learning Neural Free-Energy Functionals with Pair-Correlation Matching
    2025/02/07 by J.G. Dijkman, Marjolein Dijkstra, René van Roij +3 · 1 voice · 4 citations
    Computer Science · Materials Science · Engineering · #Neural Networks and Applications #Machine Learning in Materials Science #Hydrocarbon exploration and reservoir analysis
  61. Geometric Clifford Algebra Networks
    2023/02/13 by David Ruhe, Ruhe, David, Jayesh K. Gupta +7 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Mathematics · #Algebraic and Geometric Analysis #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Microtubule and mitosis dynamics
  62. The END: An Equivariant Neural Decoder for Quantum Error Correction
    2023/04/14 by Evgenii Egorov, Egorov, Evgenii, Roberto Bondesan +3 · 2 citations
    Computer Science · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph)
  63. Invert to Learn to Invert
    2019/11/25 by Patrick Putzky, Putzky, Patrick, Max Welling +1 · 5 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Neural Networks and Applications #Gaussian Processes and Bayesian Inference
  64. Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring
    2012/06/27 by Sungjin Ahn, Anoop Korattikara, Ahn, Sungjin +3 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
  65. Protect Your Score: Contact Tracing With Differential Privacy Guarantees
    2023/12/18 by Rob Romijnders, Romijnders, Rob, Christos Louizos +5 · 2 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #COVID-19 Digital Contact Tracing #COVID-19 epidemiological studies #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  66. Experimental design for MRI by greedy policy search
    2020/10/30 by Tim Bakker, Herke van Hoof, Bakker, Tim +3 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural and Evolutionary Computing (cs.NE) #Sparse and Compressive Sensing Techniques
  67. Relational Generalized Few-Shot Learning
    2019/07/22 by Xiahan Shi, Shi, Xiahan, Leonard Salewski +7 · 2 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Geophysical Methods and Applications #Machine Learning and ELM
  68. Neural Enhanced Belief Propagation on Factor Graphs
    2020/03/04 by Víctor García Satorras, Max Welling, Satorras, Victor Garcia +1 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Error Correcting Code Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  69. Perspectives on the State and Future of Deep Learning - 2023
    2023/12/07 by Micah Goldblum, Goldblum, Micah, Anima Anandkumar +17 · 3 voices
    #cs.AI #cs.LG
  70. Neural RF SLAM for unsupervised positioning and mapping with channel\n state information
    2022/03/15 by Shreya Kadambi, Arash Behboodi, Kadambi, Shreya +11 · 1 citation
    Earth and Planetary Sciences · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Information Theory (cs.IT) #Machine Learning (cs.LG) #Millimeter-Wave Propagation and Modeling #Precipitation Measurement and Analysis #Signal Processing (eess.SP) #electronic engineering #information engineering
  71. Efficient Neural PDE-Solvers using Quantization Aware Training
    2023/08/14 by Winfried van den Dool, Dool, Winfried van den, Tijmen Blankevoort +5 · 2 citations
    Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications #Neural Networks and Reservoir Computing
  72. Automatic Variational ABC
    2016/06/28 by Alexander Moreno, Tameem Adel, Moreno, Alexander +7 · 1 citation
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Machine Learning and Algorithms #Gaussian Processes and Bayesian Inference
  73. Probabilistic Binary Neural Networks
    2018/09/10 by Jorn W. T. Peters, Max Welling, Peters, Jorn W. T. +1 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
  74. SVNet: Where SO(3) Equivariance Meets Binarization on Point Cloud Representation
    2022/09/13 by Zhuo Su, Max Welling, Su, Zhuo +5 · 1 citation
    Earth and Planetary Sciences · Engineering · #3D Shape Modeling and Analysis #3D Surveying and Cultural Heritage #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics and Sensor-Based Localization
  75. Batch-Shaping for Learning Conditional Channel Gated Networks
    2019/07/15 by Babak Ehteshami Bejnordi, Bejnordi, Babak Ehteshami, Tijmen Blankevoort +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  76. Belief Optimization for Binary Networks: A Stable Alternative to Loopy Belief Propagation
    2013/01/10 by Max Welling, Yee Whye Teh, Welling, Max +1 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Error Correcting Code Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
  77. Supervised Uncertainty Quantification for Segmentation with Multiple Annotations
    2019/07/03 by Hu Shi, Hu, Shi, Daniel E. Worrall +9 · 1 citation
    Medicine · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Lung Cancer Diagnosis and Treatment #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Radiomics and Machine Learning in Medical Imaging
  78. Binding Dynamics in Rotating Features
    2024/02/08 by Sindy Löwe, Francesco Locatello, Löwe, Sindy +3 · 1 citation
    Engineering · #Control and Dynamics of Mobile Robots
  79. Riemannian Variational Flow Matching for Material and Protein Design
    2025/02/18 by Olga Zaghen, Zaghen, Olga, Floor Eijkelboom +12 · 1 voice · 1 citation
    Computer Science · Engineering · #Computer Graphics and Visualization Techniques #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques
  80. Controlled Generation with Equivariant Variational Flow Matching
    2025/06/23 by Floor Eijkelboom, Eijkelboom, Floor, Heiko Zimmermann +12 · 1 voice · 2 citations
    Computer Science · Engineering · #Computational Fluid Dynamics and Aerodynamics #Fluid Dynamics and Turbulent Flows #Plasma and Flow Control in Aerodynamics #cs.AI #cs.LG
  81. BLIPs: Bayesian Learned Interatomic Potentials
    2025/08/19 by Dario Coscia, Pim de Haan, Coscia, Dario +3 · 1 citation
    Agricultural and Biological Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Sensory Analysis and Statistical Methods
  82. Stochastic Counterdiabatic Driving via Biorthogonal Liouvillian Eigenmodes
    2026/07/27 by Sandeep Suresh Cranganore, Sebastian Lehner, Johannes Brandstetter +1
    #physics.comp-ph #cond-mat.stat-mech #cs.LG