Haggai Maron

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Yaron LipmanWeizmann Institute, FAIR MetaAdresse e-mail validée de weizmann.ac.il
Gal ChechikNVIDIA, Bar Ilan UniversityAdresse e-mail validée de biu.ac.il
Ethan FetayaBar-Ilan UniversityAdresse e-mail validée de biu.ac.il
nadav dymSenior Lecturer at TechnionAdresse e-mail validée de technion.ac.il
Heli Ben-HamuPh.D. student, Weizmann Institute of ScienceAdresse e-mail validée de weizmann.ac.il
Derek LimMITAdresse e-mail validée de mit.edu
Beatrice BevilacquaPhD Candidate, Purdue UniversityAdresse e-mail validée de purdue.edu
Fabrizio FrascaPosdoctoral Fellow, Technion – Israel Institute of TechnologyAdresse e-mail validée de ic.ac.uk
Matan AtzmonResearch Scientist, NVIDIAAdresse e-mail validée de nvidia.com
Idan AchituveBar-Ilan UniversityAdresse e-mail validée de biu.ac.il
Eli MeiromTechion - Israel Institute of TechnologyAdresse e-mail validée de tx.technion.ac.il
Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRAAdresse e-mail validée de cs.ox.ac.uk
Aviv NavonBar-Ilan UniversityAdresse e-mail validée de biu.ac.il
meirav galunDr of Applied Math and Computer Science, Weizmann InstituteAdresse e-mail validée de weizmann.ac.il
Aviv ShamsianPhD Candidate Bar Ilan UniversityAdresse e-mail validée de live.biu.ac.il
Stefanie JegelkaTUM and MITAdresse e-mail validée de mit.edu
Or LitanyTechnion, NVIDIAAdresse e-mail validée de nvidia.com
Rinon GalTel Aviv UniversityAdresse e-mail validée de mail.tau.ac.il
Martin GroheProfessor of Computer Science, RWTH Aachen UniversityAdresse e-mail validée de informatik.rwth-aachen.de
Christopher MorrisRWTH Aachen UniversityAdresse e-mail validée de cs.rwth-aachen.de

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Haggai Maron

Assistant Professor at the Technion, Research Scientist at NVIDIA Research

Adresse e-mail validée de technion.ac.il - Page d'accueil

Graph Neural Networks Geometric Deep Learning Deep Learning Equivariant Architectures


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Provably Powerful Graph Networks H Maron, H Ben-Hamu, H Serviansky*, Y Lipman Advances in Neural Information Processing Systems, 2019	617	2019
Point convolutional neural networks by extension operators M Atzmon, H Maron, Y Lipman SIGGRAPH 2018, 2018	586	2018
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	570	2022
Invariant and Equivariant Graph Networks H Maron, H Ben-Hamu, N Shamir, Y Lipman International Conference on Learning Representations (ICLR), 2019	511	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	257	2017
On the Universality of Invariant Networks H Maron, E Fetaya, N Segol, Y Lipman International Conference on Machine Learning (ICML), 2019	256	2019
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	184	2022
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	174	2021
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	159	2016
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	136	2022
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	136*	2021
On Learning Sets of Symmetric Elements H Maron, O Litany, G Chechik, E Fetaya International Conference on Machine Learning (ICML 2020), Outstanding paper …, 2020	130	2020
Controlling Neural Level Sets M Atzmon, N Haim, L Yariv, O Israelov, H Maron, Y Lipman Advances in Neural Information Processing Systems, 2019	123	2019
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	121	2022
Weisfeiler and leman go machine learning: The story so far C Morris, Y Lipman, H Maron, B Rieck, NM Kriege, M Grohe, M Fey, ... The Journal of Machine Learning Research 24 (1), 15865-15923, 2023	119	2023
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	106	2022
On the Universality of Rotation Equivariant Point Cloud Networks N Dym, H Maron International Conference on Learning Representations (ICLR) 2021, 2021	90	2021
Multi-chart generative surface modeling H Ben-Hamu, H Maron, I Kezurer, G Avineri, Y Lipman SIGGRAPH Asia 2018 Technical Papers, 215, 2018	85	2018
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	78	2017
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	76	2020

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