Követés
Haggai Maron
Haggai Maron
Assistant Professor at the Technion, Research Scientist at NVIDIA Research
E-mail megerősítve itt: technion.ac.il - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Provably Powerful Graph Networks
H Maron*, H Ben-Hamu*, H Serviansky*, Y Lipman
Advances in Neural Information Processing Systems, 2019
6862019
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
6652022
Point convolutional neural networks by extension operators
M Atzmon*, H Maron*, Y Lipman
SIGGRAPH 2018, 2018
6262018
Invariant and Equivariant Graph Networks
H Maron, H Ben-Hamu, N Shamir, Y Lipman
International Conference on Learning Representations (ICLR), 2019
5802019
On the Universality of Invariant Networks
H Maron, E Fetaya, N Segol, Y Lipman
International Conference on Machine Learning (ICML), 2019
2782019
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
2712017
Equivariant subgraph aggregation networks
B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ...
International Conference on Learning Representations (ICLR) 2022 (Spotlight), 2022
2222022
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
1992021
Sign and basis invariant networks for spectral graph representation learning
D Lim, J Robinson, L Zhao, T Smidt, S Sra, H Maron, S Jegelka
arXiv preprint arXiv:2202.13013, 2022
1792022
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
1632016
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
159*2021
Understanding and extending subgraph gnns by rethinking their symmetries
F Frasca, B Bevilacqua, MM Bronstein, H Maron
Advances in Neural Information Processing Systems 2022 (Oral), 2022
1532022
Multi-task learning as a bargaining game
A Navon, A Shamsian, I Achituve, H Maron, K Kawaguchi, G Chechik, ...
International Conference on Machine Learning (ICML) 2022, 2022
1472022
Weisfeiler and leman go machine learning: The story so far
C Morris, Y Lipman, H Maron, B Rieck, NM Kriege, M Grohe, M Fey, ...
Journal of Machine Learning Research 24 (333), 1-59, 2023
1462023
On Learning Sets of Symmetric Elements
H Maron, O Litany, G Chechik, E Fetaya
International Conference on Machine Learning (ICML 2020), Outstanding paper …, 2020
1442020
Controlling Neural Level Sets
M Atzmon, N Haim, L Yariv, O Israelov, H Maron, Y Lipman
Advances in Neural Information Processing Systems, 2019
1262019
On the Universality of Rotation Equivariant Point Cloud Networks
N Dym, H Maron
International Conference on Learning Representations (ICLR) 2021, 2021
1012021
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
982020
Multi-chart generative surface modeling
H Ben-Hamu, H Maron, I Kezurer, G Avineri, Y Lipman
SIGGRAPH Asia 2018 Technical Papers, 215, 2018
912018
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
862017
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