Haim, Niv

7 publications

NeurIPS 2023 Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani

ICLRW 2023 Reconstructing Training Data from Multiclass Neural Networks Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Michal Irani

ICML 2023 SinFusion: Training Diffusion Models on a Single Image or Video Yaniv Nikankin, Niv Haim, Michal Irani

ECCV 2022 Diverse Generation from a Single Video Made Possible Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani

NeurIPS 2022 Reconstructing Training Data from Trained Neural Networks Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani

ICML 2020 Implicit Geometric Regularization for Learning Shapes Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman

NeurIPS 2019 Controlling Neural Level Sets Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman