Eli A. Meirom

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 23

Top Topics

Reinforcement Learning

Top Venues

IEEE J. Sel. Areas Commun.

Publications

Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
Efficient Subgraph GNNs by Learning Effective Selection Policies. ICLR (2024)
Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
Efficient Subgraph GNNs by Learning Effective Selection Policies. CoRR (2023)
Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom
Train Hard, Fight Easy: Robust Meta Reinforcement Learning. CoRR (2023)
Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom
Train Hard, Fight Easy: Robust Meta Reinforcement Learning. NeurIPS (2023)
Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik
Learning to Initiate and Reason in Event-Driven Cascading Processes. ICML (2023)
Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations. CoRR (2022)
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
Optimizing Tensor Network Contraction Using Reinforcement Learning. CoRR (2022)
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
Optimizing Tensor Network Contraction Using Reinforcement Learning. ICML (2022)
Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon
"This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language Representations. ECCV (20) (2022)
Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik
Learning to reason about and to act on physical cascading events. CoRR (2022)
Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron
From Local Structures to Size Generalization in Graph Neural Networks. ICML (2021)
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. ICML (2021)
Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik
Known unknowns: Learning novel concepts using reasoning-by-elimination. UAI (2021)
Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron
On Size Generalization in Graph Neural Networks. CoRR (2020)
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. CoRR (2020)
Eli A. Meirom, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai
Detecting Cascades from Weak Signatures. IEEE Trans. Netw. Sci. Eng. 5 (4) (2018)
Gal Cohensius, Shie Mannor, Reshef Meir, Eli A. Meirom, Ariel Orda
Proxy Voting for Better Outcomes. AAMAS (2017)
Eli A. Meirom, Shie Mannor, Ariel Orda
Strategic Formation of Heterogeneous Networks. IEEE J. Sel. Areas Commun. 35 (3) (2017)
Eli A. Meirom, Shie Mannor, Ariel Orda
Strategic Formation of Heterogeneous Networks. CoRR (2016)
Eli A. Meirom, Pavel Kisilev
NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning. AISTATS (2016)
Gal Cohensius, Shie Mannor, Reshef Meir, Eli A. Meirom, Ariel Orda
Proxy Voting for Better Outcomes. CoRR (2016)
Eli A. Meirom, Shie Mannor, Ariel Orda
Formation games of reliable networks. INFOCOM (2015)
Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda
Localized Epidemic Detection in Networks with Overwhelming Noise. SIGMETRICS (2015)
Eli A. Meirom, Shie Mannor, Ariel Orda
Formation Games of Reliable Networks. CoRR (2014)
Eli A. Meirom, Shie Mannor, Ariel Orda
Network formation games with heterogeneous players and the internet structure. EC (2014)
Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai
Localized epidemic detection in networks with overwhelming noise. CoRR (2014)
Eli A. Meirom, Shie Mannor, Ariel Orda
Formation Games and the Internet Structure. CoRR (2013)