Niv Haim

According to our database, Niv Haim authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Reconstructing Training Data from Multiclass Neural Networks.

Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Michal Irani

CoRR, 2023

Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses.

Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Yakir Oz, Yaniv Nikankin, Michal Irani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SinFusion: Training Diffusion Models on a Single Image or Video.

Yaniv Nikankin, Niv Haim, Michal Irani

Proceedings of the International Conference on Machine Learning, 2023

2022

Diverse Video Generation from a Single Video.

Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani

CoRR, 2022

Reconstructing Training Data From Trained Neural Networks.

Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Diverse Generation from a Single Video Made Possible.

Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

From Discrete to Continuous Convolution Layers.

Assaf Shocher, Ben Feinstein, Niv Haim, Michal Irani

CoRR, 2020

Implicit Geometric Regularization for Learning Shapes.

Amos Gropp, Lior Yariv, Niv Haim, Matan Atzmon, Yaron Lipman

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Controlling Neural Level Sets.

Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Surface Networks via General Covers.

Niv Haim, Nimrod Segol, Heli Ben-Hamu, Haggai Maron, Yaron Lipman

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019