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Niv Haim
Niv Haim
Weizmann Institute of Science
在 weizmann.ac.il 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Implicit geometric regularization for learning shapes
A Gropp, L Yariv, N Haim, M Atzmon, Y Lipman
Proceedings of the 37th International Conference on Machine Learning (ICML …, 2020
7392020
Controlling neural level sets
M Atzmon, N Haim, L Yariv, O Israelov, H Maron, Y Lipman
Advances in Neural Information Processing Systems, 2032--2041, 2019
1182019
Reconstructing training data from trained neural networks
N Haim, G Vardi, G Yehudai, O Shamir, M Irani
Advances in Neural Information Processing Systems 35, 22911-22924, 2022
1022022
Surface networks via general covers
N Haim, N Segol, H Ben-Hamu, H Maron, Y Lipman
Proceedings of the IEEE/CVF international conference on computer vision, 632-641, 2019
562019
Sinfusion: Training diffusion models on a single image or video
Y Nikankin, N Haim, M Irani
arXiv preprint arXiv:2211.11743, 2022
422022
Diverse generation from a single video made possible
N Haim, B Feinstein, N Granot, A Shocher, S Bagon, T Dekel, M Irani
European Conference on Computer Vision, 491-509, 2022
17*2022
From discrete to continuous convolution layers
A Shocher, B Feinstein, N Haim, M Irani
arXiv preprint arXiv:2006.11120, 2020
152020
Extreme close approaches in hierarchical triple systems with comparable masses
N Haim, B Katz
Monthly Notices of the Royal Astronomical Society 479 (3), 3155-3166, 2018
102018
Deconstructing data reconstruction: Multiclass, weight decay and general losses
G Buzaglo, N Haim, G Yehudai, G Vardi, Y Oz, Y Nikankin, M Irani
Advances in Neural Information Processing Systems 36, 2024
52024
Reconstructing Training Data from Multiclass Neural Networks
G Buzaglo, N Haim, G Yehudai, G Vardi, M Irani
ICLR 2023 Workshop on Pitfalls of limited data and computation for …, 2023
2023
TBI: Three-Body Integration
N Haim
Astrophysics Source Code Library, ascl: 1807.024, 2018
2018
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