Haggai Maron

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Yaron LipmanFAIR Meta, Weizmann InstituteVerified email at weizmann.ac.il
Gal ChechikNVIDIA, Bar Ilan UniversityVerified email at biu.ac.il
Ethan FetayaBar-Ilan UniversityVerified email at biu.ac.il
nadav dymSenior Lecturer at TechnionVerified email at technion.ac.il
Derek LimMITVerified email at mit.edu
Fabrizio FrascaPosdoctoral Fellow, Technion – Israel Institute of TechnologyVerified email at campus.technion.ac.il
Heli Ben-HamuPh.D. student, Weizmann Institute of ScienceVerified email at weizmann.ac.il
Beatrice BevilacquaPhD Candidate, Purdue UniversityVerified email at purdue.edu
Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRAVerified email at cs.ox.ac.uk
Aviv NavonBar-Ilan University, aiOlaVerified email at biu.ac.il
Matan AtzmonResearch Scientist, NVIDIAVerified email at nvidia.com
Idan AchituveBar-Ilan UniversityVerified email at biu.ac.il
Eli MeiromTechion - Israel Institute of TechnologyVerified email at tx.technion.ac.il
Stefanie JegelkaTUM and MITVerified email at mit.edu
meirav galunDr of Applied Math and Computer Science, Weizmann InstituteVerified email at weizmann.ac.il
Aviv ShamsianPhD Candidate Bar Ilan UniversityVerified email at live.biu.ac.il
Martin GroheProfessor of Computer Science, RWTH Aachen UniversityVerified email at informatik.rwth-aachen.de
Christopher MorrisRWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Rinon GalTel Aviv UniversityVerified email at mail.tau.ac.il
Or LitanyTechnion, NVIDIAVerified email at nvidia.com

Haggai Maron

Assistant Professor at the Technion, Research Scientist at NVIDIA Research

Verified email at technion.ac.il - Homepage

Graph Neural Networks Geometric Deep Learning Deep Learning Equivariant Architectures


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Provably Powerful Graph Networks H Maron, H Ben-Hamu, H Serviansky*, Y Lipman Advances in Neural Information Processing Systems, 2019	699	2019
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	679	2022
Point convolutional neural networks by extension operators M Atzmon, H Maron, Y Lipman SIGGRAPH 2018, 2018	629	2018
Invariant and Equivariant Graph Networks H Maron, H Ben-Hamu, N Shamir, Y Lipman International Conference on Learning Representations (ICLR), 2019	586	2019
On the Universality of Invariant Networks H Maron, E Fetaya, N Segol, Y Lipman International Conference on Machine Learning (ICML), 2019	282	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	274	2017
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	229	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	203	2021
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	191	2022
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	163	2016
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	162*	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	160	2022
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	156	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, ... Journal of Machine Learning Research 24 (333), 1-59, 2023	150	2023
On Learning Sets of Symmetric Elements H Maron, O Litany, G Chechik, E Fetaya International Conference on Machine Learning (ICML 2020), Outstanding paper …, 2020	145	2020
Controlling Neural Level Sets M Atzmon, N Haim, L Yariv, O Israelov, H Maron, Y Lipman Advances in Neural Information Processing Systems, 2019	128	2019
On the Universality of Rotation Equivariant Point Cloud Networks N Dym, H Maron International Conference on Learning Representations (ICLR) 2021, 2021	102	2021
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	98	2020
Multi-chart generative surface modeling H Ben-Hamu, H Maron, I Kezurer, G Avineri, Y Lipman SIGGRAPH Asia 2018 Technical Papers, 215, 2018	92	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	87	2017

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