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Lipman, Yaron

  1. Flow Matching for Generative Modeling
    2022/10/06 by Lipman, Yaron, Chen, Ricky T. Q., Ben-Hamu, Heli +2 · 1111 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. Flow Matching Guide and Code
    2024/12/09 by Yaron Lipman, Marton Havasi, Lipman, Yaron +18 · 10 voices · 80 citations
    Decision Sciences · Computer Science · #Simulation Techniques and Applications #Software System Performance and Reliability
  3. Volume Rendering of Neural Implicit Surfaces
    2021/06/22 by Lior Yariv, Yariv, Lior, Jiatao Gu +5 · 64 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  4. Implicit Geometric Regularization for Learning Shapes
    2020/02/24 by Amos Gropp, Lior Yariv, Gropp, Amos +7 · 38 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Numerical Analysis Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
    2023/02/16 by Omer Bar-Tal, Lior Yariv, Bar-Tal, Omer +5 · 54 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Retrieval and Classification Techniques #Multimodal Machine Learning Applications
  6. Multisample Flow Matching: Straightening Flows with Minibatch Couplings
    2023/04/28 by Aram-Alexandre Pooladian, Heli Ben-Hamu, Pooladian, Aram-Alexandre +9 · 1 voice · 39 citations
    #cs.LG
  7. Invariant and Equivariant Graph Networks
    2018/12/24 by Haggai Maron, Maron, Haggai, Heli Ben-Hamu +5 · 39 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Data Quality and Management #Epigenetics and DNA Methylation #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Discrete Flow Matching
    2024/07/22 by Gat, Itai, Remez, Tal, Shaul, Neta +5 · 71 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Provably Powerful Graph Networks
    2019/05/27 by Haggai Maron, Maron, Haggai, Heli Ben-Hamu +5 · 22 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Stochastic Gradient Optimization Techniques #Graphene research and applications
  10. On the Universality of Invariant Networks
    2019/01/27 by Maron, Haggai, Fetaya, Ethan, Segol, Nimrod +1 · 17 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. Frame Averaging for Invariant and Equivariant Network Design
    2021/10/07 by Omri Puny, Matan Atzmon, Puny, Omri +11 · 18 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
  12. SAL: Sign Agnostic Learning of Shapes from Raw Data
    2019/11/23 by Atzmon, Matan, Lipman, Yaron · 13 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG)
  13. D-Flow: Differentiating through Flows for Controlled Generation
    2024/02/21 by Ben-Hamu, Heli, Puny, Omri, Gat, Itai +3 · 25 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Guided Flows for Generative Modeling and Decision Making
    2023/11/22 by Qinqing Zheng, Matt Le, Zheng, Qinqing +9 · 22 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Reinforcement Learning in Robotics #Robotics (cs.RO) #Topic Modeling
  15. Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
    2024/12/04 by Neta Shaul, Shaul, Neta, Itai Gat +15 · 1 voice · 17 citations
    Engineering · #Fluid Dynamics and Turbulent Flows #Lattice Boltzmann Simulation Studies
  16. Moser Flow: Divergence-based Generative Modeling on Manifolds
    2021/08/18 by Noam Rozen, Aditya Grover, Rozen, Noam +5 · 8 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #Artificial Intelligence (cs.AI) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Weisfeiler and Leman go Machine Learning: The Story so far
    2021/12/18 by Christopher G. Morris, Morris, Christopher, Yaron Lipman +13 · 9 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
  18. Generator Matching: Generative modeling with arbitrary Markov processes
    2024/10/27 by Peter Holderrieth, Marton Havasi, Holderrieth, Peter +15 · 16 citations
    Engineering · #Electric Power System Optimization
  19. Matching Normalizing Flows and Probability Paths on Manifolds
    2022/07/11 by Ben-Hamu, Heli, Cohen, Samuel, Bose, Joey +5 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. SALD: Sign Agnostic Learning with Derivatives
    2020/06/09 by Matan Atzmon, Atzmon, Matan, Yaron Lipman +1 · 7 citations
    Engineering · Computer Science · #3D Shape Modeling and Analysis #Human Pose and Action Recognition #Advanced Numerical Analysis Techniques
  21. On Universal Equivariant Set Networks
    2019/10/06 by Segol, Nimrod, Lipman, Yaron · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  22. Set Block Decoding is a Language Model Inference Accelerator
    2025/09/04 by Gat, Itai, Ben-Hamu, Heli, Havasi, Marton +6 · 1 voice · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Controlling Neural Level Sets
    2019/05/28 by Atzmon, Matan, Haim, Niv, Yariv, Lior +3 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. Bespoke Solvers for Generative Flow Models
    2023/10/29 by Neta Shaul, Shaul, Neta, Juan C. Pérez +9 · 5 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Machine Learning in Healthcare #Explainable Artificial Intelligence (XAI)
  25. On Kinetic Optimal Probability Paths for Generative Models
    2023/06/11 by Neta Shaul, Shaul, Neta, Ricky T. Q. Chen +7 · 4 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
  26. Point Convolutional Neural Networks by Extension Operators
    2018/03/27 by Atzmon, Matan, Maron, Haggai, Lipman, Yaron · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  27. Isometric Autoencoders
    2020/06/16 by Gropp, Amos, Atzmon, Matan, Lipman, Yaron · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  28. Frame Averaging for Equivariant Shape Space Learning
    2021/12/03 by Atzmon, Matan, Nagano, Koki, Fidler, Sanja +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graphics (cs.GR) #Machine Learning (cs.LG)
  29. Equivariant Polynomials for Graph Neural Networks
    2023/02/22 by Omri Puny, Derek Lim, Puny, Omri +7 · 2 citations
    Computer Science · Materials Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Parallel Computing and Optimization Techniques
  30. Generalized Schrödinger Bridge Matching
    2023/10/03 by Guan-Horng Liu, Yaron Lipman, Liu, Guan-Horng +9 · 2 citations
    Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Control (math.OC)
  31. (Probably) Concave Graph Matching
    2018/07/09 by Maron, Haggai, Lipman, Yaron · 1 citation
    #Combinatorics (math.CO) #FOS: Mathematics #Optimization and Control (math.OC)
  32. Global Attention Improves Graph Networks Generalization
    2020/06/14 by Puny, Omri, Ben-Hamu, Heli, Lipman, Yaron · 1 citation
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  33. Exact Recovery with Symmetries for Procrustes Matching
    2016/06/05 by Dym, Nadav, Lipman, Yaron · 1 citation
    #FOS: Mathematics #Optimization and Control (math.OC)
  34. Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
    2024/03/02 by Shaul, Neta, Singer, Uriel, Chen, Ricky T. Q. +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  35. Transition Matching: Scalable and Flexible Generative Modeling
    2025/06/30 by Shaul, Neta, Singer, Uriel, Gat, Itai +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  36. Space Group Conditional Flow Matching
    2025/09/28 by Puny, Omri, Lipman, Yaron, Miller, Benjamin Kurt · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)