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Haim, Niv

  1. Implicit Geometric Regularization for Learning Shapes
    2020/02/24 by Amos Gropp, Gropp, Amos, Lior Yariv +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)
  2. Reconstructing Training Data from Trained Neural Networks
    2022/06/15 by Niv Haim, Haim, Niv, Gal Vardi +7 · 3 voices · 6 citations
    Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #cs.CR #cs.CV #cs.LG #cs.NE #stat.ML
  3. Controlling Neural Level Sets
    2019/05/28 by Matan Atzmon, Niv Haim, Atzmon, Matan +9 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Neuroscience · #Adversarial Robustness in Machine Learning #Cell Image Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function
  4. Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses
    2023/07/04 by Buzaglo, Gon, Haim, Niv, Yehudai, Gilad +4 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  5. SinFusion: Training Diffusion Models on a Single Image or Video
    2022/11/21 by Nikankin, Yaniv, Haim, Niv, Irani, Michal · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Reconstructing Training Data From Real World Models Trained with Transfer Learning
    2024/07/22 by Oz, Yakir, Yehudai, Gilad, Vardi, Gal +3 · 2 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)