Haggai Maron

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Yaron LipmanFAIR Meta, Weizmann InstitutePatvirtintas el. paštas weizmann.ac.il
Gal ChechikNVIDIA, Bar Ilan UniversityPatvirtintas el. paštas biu.ac.il
Ethan FetayaBar-Ilan UniversityPatvirtintas el. paštas biu.ac.il
nadav dymSenior Lecturer at TechnionPatvirtintas el. paštas technion.ac.il
Heli Ben-HamuPh.D. student, Weizmann Institute of SciencePatvirtintas el. paštas weizmann.ac.il
Derek LimMITPatvirtintas el. paštas mit.edu
Fabrizio FrascaPosdoctoral Fellow, Technion – Israel Institute of TechnologyPatvirtintas el. paštas campus.technion.ac.il
Beatrice BevilacquaPhD Candidate, Purdue UniversityPatvirtintas el. paštas purdue.edu
Matan AtzmonResearch Scientist, NVIDIAPatvirtintas el. paštas nvidia.com
Michael BronsteinDeepMind Professor of AI, University of Oxford / Scientific Director, AITHYRAPatvirtintas el. paštas cs.ox.ac.uk
Idan AchituveBar-Ilan UniversityPatvirtintas el. paštas biu.ac.il
Eli MeiromTechion - Israel Institute of TechnologyPatvirtintas el. paštas tx.technion.ac.il
meirav galunDr of Applied Math and Computer Science, Weizmann InstitutePatvirtintas el. paštas weizmann.ac.il
Aviv NavonBar-Ilan UniversityPatvirtintas el. paštas biu.ac.il
Stefanie JegelkaTUM and MITPatvirtintas el. paštas mit.edu
Aviv ShamsianPhD Candidate Bar Ilan UniversityPatvirtintas el. paštas live.biu.ac.il
Rinon GalTel Aviv UniversityPatvirtintas el. paštas mail.tau.ac.il
Or LitanyTechnion, NVIDIAPatvirtintas el. paštas nvidia.com
Gilad YehudaiPostdoctoral Associate, New York UniversityPatvirtintas el. paštas weizmann.ac.il
Martin GroheProfessor of Computer Science, RWTH Aachen UniversityPatvirtintas el. paštas informatik.rwth-aachen.de

Stebėti

Haggai Maron

Assistant Professor at the Technion, Research Scientist at NVIDIA Research

Patvirtintas el. paštas technion.ac.il - Pagrindinis puslapis

Graph Neural Networks Geometric Deep Learning Deep Learning Equivariant Architectures


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Provably Powerful Graph Networks H Maron, H Ben-Hamu, H Serviansky*, Y Lipman Advances in Neural Information Processing Systems, 2019	667	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	653	2022
Point convolutional neural networks by extension operators M Atzmon, H Maron, Y Lipman SIGGRAPH 2018, 2018	616	2018
Invariant and Equivariant Graph Networks H Maron, H Ben-Hamu, N Shamir, Y Lipman International Conference on Learning Representations (ICLR), 2019	559	2019
On the Universality of Invariant Networks H Maron, E Fetaya, N Segol, Y Lipman International Conference on Machine Learning (ICML), 2019	267	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	267	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	208	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	193	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	164	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	160	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	151	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	142	2022
On Learning Sets of Symmetric Elements H Maron, O Litany, G Chechik, E Fetaya International Conference on Machine Learning (ICML 2020), Outstanding paper …, 2020	139	2020
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	135	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	133	2022
Controlling Neural Level Sets M Atzmon, N Haim, L Yariv, O Israelov, H Maron, Y Lipman Advances in Neural Information Processing Systems, 2019	129	2019
On the Universality of Rotation Equivariant Point Cloud Networks N Dym, H Maron International Conference on Learning Representations (ICLR) 2021, 2021	96	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	89	2020
Multi-chart generative surface modeling H Ben-Hamu, H Maron, I Kezurer, G Avineri, Y Lipman SIGGRAPH Asia 2018 Technical Papers, 215, 2018	88	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	83	2017

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