| 2024 | ICLR | Efficient Subgraph GNNs by Learning Effective Selection Policies. | Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron |
| 2023 | ICML | Learning to Initiate and Reason in Event-Driven Cascading Processes. | Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik |
| 2022 | ECCV | "This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language Representations. | Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon |
| 2022 | ICML | Optimizing Tensor Network Contraction Using Reinforcement Learning. | Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik |
| 2021 | ICML | Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. | Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik |
| 2021 | ICML | From Local Structures to Size Generalization in Graph Neural Networks. | Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron |
| 2021 | UAI | Known unknowns: Learning novel concepts using reasoning-by-elimination. | Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik |
| 2016 | AISTATS | NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning. | Eli A. Meirom, Pavel Kisilev |
| 2015 | INFOCOM | Formation games of reliable networks. | Eli A. Meirom, Shie Mannor, Ariel Orda |
| 2015 | SIGMETRICS | Localized Epidemic Detection in Networks with Overwhelming Noise. | Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda |