| 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, 11975-11986, 2021 | 123 | 2021 |
| Entanglement on demand through time reordering JE Avron, G Bisker, D Gershoni, NH Lindner, EA Meirom, RJ Warburton Physical review letters 100 (12), 120501, 2008 | 106 | 2008 |
| Proxy Voting for Better Outcomes G Cohensius, S Manor, R Meir, E Meirom, A Orda arXiv preprint arXiv:1611.08308, 2016 | 63 | 2016 |
| “This is my unicorn, Fluffy”: Personalizing frozen vision-language representations N Cohen, R Gal, EA Meirom, G Chechik, Y Atzmon European Conference on Computer Vision, 558-577, 2022 | 61 | 2022 |
| Controlling graph dynamics with reinforcement learning and graph neural networks E Meirom, H Maron, S Mannor, G Chechik International Conference on Machine Learning, 7565-7577, 2021 | 53 | 2021 |
| Network formation games with heterogeneous players and the internet structure EA Meirom, S Mannor, A Orda Proceedings of the fifteenth ACM conference on Economics and computation …, 2014 | 28 | 2014 |
| Formation games of reliable networks EA Meirom, S Mannor, A Orda 2015 IEEE Conference on Computer Communications (INFOCOM), 1760-1768, 2015 | 26* | 2015 |
| Localized epidemic detection in networks with overwhelming noise EA Meirom, C Milling, C Caramanis, S Mannor, S Shakkottai, A Orda ACM SIGMETRICS Performance Evaluation Review 43 (1), 441-442, 2015 | 21 | 2015 |
| Distilling entanglement from random cascades with partial “which path” ambiguity EA Meirom, NH Lindner, Y Berlatzky, E Poem, N Akopian, JE Avron, ... Physical Review A 77 (6), 062310, 2008 | 16 | 2008 |
| Optimizing tensor network contraction using reinforcement learning E Meirom, H Maron, S Mannor, G Chechik International Conference on Machine Learning, 15278-15292, 2022 | 10 | 2022 |
| Avron et al. Reply JE Avron, G Bisker, D Gershoni, NH Lindner, EA Meirom, RJ Warburton Physical Review Letters 103 (4), 048902, 2009 | 7 | 2009 |
| On size generalization in graph neural networks G Yehudai, E Fetaya, E Meirom, G Chechik, H Maron | 6 | 2020 |
| Nuc-mkl: A convex approach to non linear multiple kernel learning E Meirom, P Kisilev Artificial Intelligence and Statistics, 610-619, 2016 | 6 | 2016 |
| Known unknowns: Learning novel concepts using reasoning-by-elimination H Agrawal, EA Meirom, Y Atzmon, S Mannor, G Chechik Uncertainty in Artificial Intelligence, 504-514, 2021 | 4 | 2021 |
| Enhanced kernel representation for processing multimodal data P Kisilev, EA Meirom US Patent 10,546,246, 2020 | 3 | 2020 |
| Train Hard, Fight Easy: Robust Meta Reinforcement Learning I Greenberg, S Mannor, G Chechik, E Meirom arXiv preprint arXiv:2301.11147, 2023 | 2 | 2023 |
| Detecting Cascades from Weak Signatures EA Meirom, C Caramanis, S Mannor, A Orda, S Shakkottai IEEE Transactions on Network Science and Engineering 5 (4), 313-325, 2017 | 2 | 2017 |
| Strategic formation of heterogeneous networks EA Meirom, S Mannor, A Orda IEEE Journal on Selected Areas in Communications 35 (3), 751-763, 2017 | 2 | 2017 |
| Scalable tensor network contraction using reinforcement learning G Chechik, EA Meirom, H Maron, BK Khailany, PM Springer, S Mannor US Patent App. 18/157,608, 2023 | | 2023 |
| Learning to Initiate and Reason in Event-Driven Cascading Processes Y Atzmon, E Meirom, S Mannor, G Chechik | | 2023 |
