Meirom, Eli

9 publications

ICLRW 2025 GluFormer: Learning Generalizable Representations from Continuous Glucose Monitoring Data Guy Lutsker, Gal Sapir, Smadar Shilo, Jordi Merino, Anastasia Godneva, Jerry R Greenfield, Dorit Samocha-Bonet, Raja Dhir, Francisco Gude, Shie Mannor, Eli Meirom, Gal Chechik, Hagai Rossman, Eran Segal

ICLR 2024 Efficient Subgraph GNNs by Learning Effective Selection Policies Beatrice Bevilacqua, Moshe Eliasof, Eli Meirom, Bruno Ribeiro, Haggai Maron

ICML 2023 Learning to Initiate and Reason in Event-Driven Cascading Processes Yuval Atzmon, Eli Meirom, Shie Mannor, Gal Chechik

ICLRW 2023 Learning to Initiate and Reason in Event-Driven Cascading Processes Yuval Atzmon, Eli Meirom, Shie Mannor, Gal Chechik

NeurIPS 2023 Train Hard, Fight Easy: Robust Meta Reinforcement Learning Ido Greenberg, Shie Mannor, Gal Chechik, Eli Meirom

ICLRW 2022 Learning to Reason About and to Act on Physical Cascading Events Yuval Atzmon, Eli Meirom, Shie Mannor, Gal Chechik

ICML 2022 Optimizing Tensor Network Contraction Using Reinforcement Learning Eli Meirom, Haggai Maron, Shie Mannor, Gal Chechik

ICML 2021 Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks Eli Meirom, Haggai Maron, Shie Mannor, Gal Chechik

ICML 2021 From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai, Ethan Fetaya, Eli Meirom, Gal Chechik, Haggai Maron