Niv Haim

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Discrete Valued

Variational Formulation

Diffusion Models

Top Venues

Publications

Yakir Oz, Gilad Yehudai, Gal Vardi, Itai Antebi, Michal Irani, Niv Haim
Reconstructing Training Data From Real World Models Trained with Transfer Learning. CoRR (2024)
Yaniv Nikankin, Niv Haim, Michal Irani
SinFusion: Training Diffusion Models on a Single Image or Video. ICML (2023)
Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses. NeurIPS (2023)
Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Michal Irani
Reconstructing Training Data from Multiclass Neural Networks. CoRR (2023)
Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses. CoRR (2023)
Yaniv Nikankin, Niv Haim, Michal Irani
SinFusion: Training Diffusion Models on a Single Image or Video. CoRR (2022)
Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani
Diverse Video Generation from a Single Video. CoRR (2022)
Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani
Reconstructing Training Data from Trained Neural Networks. CoRR (2022)
Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani
Reconstructing Training Data From Trained Neural Networks. NeurIPS (2022)
Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani
Diverse Generation from a Single Video Made Possible. ECCV (17) (2022)
Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani
Diverse Generation from a Single Video Made Possible. CoRR (2021)
Assaf Shocher, Ben Feinstein, Niv Haim, Michal Irani
From Discrete to Continuous Convolution Layers. CoRR (2020)
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman
Implicit Geometric Regularization for Learning Shapes. CoRR (2020)
Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman
Implicit Geometric Regularization for Learning Shapes. ICML (2020)
Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman
Controlling Neural Level Sets. NeurIPS (2019)
Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman
Controlling Neural Level Sets. CoRR (2019)
Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman
Surface Networks via General Covers. ICCV (2019)
Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman
Surface Networks via General Covers. CoRR (2018)