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Haggai Maron
Haggai Maron
NVIDIA Research
Zweryfikowany adres z nvidia.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Point Convolutional Neural Networks by Extension Operators
M Atzmon*, H Maron*, Y Lipman
ACM Transactions on Graphics (TOG): Volume 37 Issue 4, August 2018, 2018
3462018
Provably Powerful Graph Networks
H Maron*, H Ben-Hamu*, H Serviansky*, Y Lipman
Advances in Neural Information Processing Systems, 2019
2582019
Invariant and Equivariant Graph Networks
H Maron, H Ben-Hamu, N Shamir, Y Lipman
International Conference on Learning Representations (ICLR), 2019
2142019
Convolutional neural networks on surfaces via seamless toric covers
H Maron, M Galun, N Aigerman, M Trope, N Dym, E Yumer, VG Kim, ...
ACM Trans. Graph 36 (4), 71, 2017
1792017
On the Universality of Invariant Networks
H Maron, E Fetaya, N Segol, Y Lipman
International Conference on Machine Learning (ICML), 2019
1212019
Point registration via efficient convex relaxation
H Maron, N Dym, I Kezurer, S Kovalsky, Y Lipman
ACM Transactions on Graphics (TOG) 35 (4), 73, 2016
1072016
On Learning Sets of Symmetric Elements
H Maron, O Litany, G Chechik, E Fetaya
International Conference on Machine Learning (ICML 2020), Outstanding paper …, 2020
67*2020
Self-Supervised Learning for Domain Adaptation on Point-Clouds
I Achituve, H Maron, G Chechik
Winter Conference on Applications of Computer Vision (WACV), 2021, 2021
582021
DS++: A flexible, scalable and provably tight relaxation for matching problems
N Dym*, H Maron*, Y Lipman
ACM Transactions on Graphics (TOG) 36 (6), 184:1--184:14, 2017
572017
Controlling Neural Level Sets
M Atzmon, N Haim, L Yariv, O Israelov, H Maron, Y Lipman
Advances in Neural Information Processing Systems, 2019
562019
Multi-chart generative surface modeling
H Ben-Hamu, H Maron, I Kezurer, G Avineri, Y Lipman
SIGGRAPH Asia 2018 Technical Papers, 215, 2018
512018
StyleGAN-NADA: CLIP-guided domain adaptation of image generators
R Gal, O Patashnik, H Maron, AH Bermano, G Chechik, D Cohen-Or
ACM Transactions on Graphics (TOG) 41 (4), 1-13, 2022
392022
From Local Structures to Size Generalization in Graph Neural Networks
G Yehudai, E Fetaya, E Meirom, G Chechik, H Maron
International Conference on Machine Learning (ICML) 2021, 2021
32*2021
On the Universality of Rotation Equivariant Point Cloud Networks
N Dym, H Maron
International Conference on Learning Representations (ICLR) 2021, 2021
292021
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
282019
Set2Graph: Learning Graphs From Sets
H Serviansky, N Segol, J Shlomi, K Cranmer, E Gross, H Maron, Y Lipman
Advances in Neural Information Processing Systems, 2020
27*2020
Learning Algebraic Multigrid Using Graph Neural Networks
I Luz, M Galun, H Maron, R Basri, I Yavneh
International Conference on Machine Learning (ICML 2020), 2020
262020
Equivariant subgraph aggregation networks
B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ...
arXiv preprint arXiv:2110.02910, 2022
232022
Secondary vertex finding in jets with neural networks
J Shlomi, S Ganguly, E Gross, K Cranmer, Y Lipman, H Serviansky, ...
European Physical Journal C, 2021
162021
Controlling graph dynamics with reinforcement learning and graph neural networks
EA Meirom, H Maron, S Mannor, G Chechik
International Conference on Machine Learning (ICML) 2021, 2021
15*2021
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