Haggai Maron

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Citations	1726	1722
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i10-index	22	22

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yaron lipmanWeizmann InstituteVerified email at weizmann.ac.il
Heli Ben-HamuPh.D. student, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Gal ChechikBar Ilan University, NVIDIAVerified email at biu.ac.il
nadav dymSenior Lecturer at TechnionVerified email at technion.ac.il
Ethan FetayaBar-Ilan UniversityVerified email at biu.ac.il
Matan AtzmonWeizmann Institute of ScienceVerified email at weizmann.ac.il
Hadar ServianskyComputer Science MSc student, Weizmann InstituteVerified email at weizmann.ac.il
meirav galunDr of Applied Math and Computer Science, Weizmann InstituteVerified email at weizmann.ac.il
Nimrod SegolPh.D. student Weizmann Institute of ScienceVerified email at weizmann.ac.il
Itay KezurerMS.c Graduate, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Idan AchituveBar-Ilan UniversityVerified email at biu.ac.il
Eli MeiromTechion - Israel Institute of TechnologyVerified email at tx.technion.ac.il
Niv HaimWeizmann Institute of ScienceVerified email at weizmann.ac.il
Vladimir G. KimResearch Scientist, AdobeVerified email at adobe.com
Noam AigermanResearcher at AdobeVerified email at adobe.com
Ersin YumerTuSimpleVerified email at tusimple.ai
Or LitanyResearch Scientist, NVIDIAVerified email at nvidia.com
Ronen BasriProfessor of Computer Science, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Shahar KovalskyAssistant Professor, University of North Carolina at Chapel HillVerified email at unc.edu
Eilam GrossProfessor pf Physics, Weizmann Institute of ScienceVerified email at weizmann.ac.il

Haggai Maron

NVIDIA Research

Verified email at nvidia.com - Homepage

Graph Neural Networks Geometric Deep Learning Deep Learning Shape analysis


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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	334	2018
Provably Powerful Graph Networks H Maron, H Ben-Hamu, H Serviansky*, Y Lipman Advances in Neural Information Processing Systems, 2019	250	2019
Invariant and Equivariant Graph Networks H Maron, H Ben-Hamu, N Shamir, Y Lipman International Conference on Learning Representations (ICLR), 2019	208	2019
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	173	2017
On the Universality of Invariant Networks H Maron, E Fetaya, N Segol, Y Lipman International Conference on Machine Learning (ICML), 2019	119	2019
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	102	2016
On Learning Sets of Symmetric Elements H Maron, O Litany, G Chechik, E Fetaya International Conference on Machine Learning (ICML 2020), Outstanding paper …, 2020	61*	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	54	2021
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	54	2017
Controlling Neural Level Sets M Atzmon, N Haim, L Yariv, O Israelov, H Maron, Y Lipman Advances in Neural Information Processing Systems, 2019	53	2019
Multi-chart generative surface modeling H Ben-Hamu, H Maron, I Kezurer, G Avineri, Y Lipman SIGGRAPH Asia 2018 Technical Papers, 215, 2018	50	2018
Stylegan-nada: Clip-guided domain adaptation of image generators R Gal, O Patashnik, H Maron, G Chechik, D Cohen-Or arXiv preprint arXiv:2108.00946, 2021	30	2021
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	27*	2021
On the Universality of Rotation Equivariant Point Cloud Networks N Dym, H Maron International Conference on Learning Representations (ICLR) 2021, 2021	26	2021
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	26*	2020
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	26	2019
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	24	2020
Equivariant subgraph aggregation networks B Bevilacqua, F Frasca, D Lim, B Srinivasan, C Cai, G Balamurugan, ... arXiv preprint arXiv:2110.02910, 2022	22	2022
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	16	2021
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	12*	2021

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