Eli A. Meirom - RankMe

28 papers A* 9A 3Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms. CoRR Ido Greenberg, Piotr Sielski, Hugo Linsenmaier, Rajesh Gandham, Shie Mannor, Alexandre Fender, Gal Chechik, Eli A. Meirom
2024	A*	`conf`	Efficient Subgraph GNNs by Learning Effective Selection Policies. ICLR Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
2023	J	`jnl`	Efficient Subgraph GNNs by Learning Effective Selection Policies. CoRR Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron
2023	A*	`conf`	Learning to Initiate and Reason in Event-Driven Cascading Processes. ICML Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik
2023	A*	`conf`	Train Hard, Fight Easy: Robust Meta Reinforcement Learning. NeurIPS Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom
2023	J	`jnl`	Train Hard, Fight Easy: Robust Meta Reinforcement Learning. CoRR Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom
2022	—	`conf`	"This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language Representations. ECCV (20) Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon
2022	J	`jnl`	"This is my unicorn, Fluffy": Personalizing frozen vision-language representations. CoRR Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon
2022	J	`jnl`	Learning to reason about and to act on physical cascading events. CoRR Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik
2022	A*	`conf`	Optimizing Tensor Network Contraction Using Reinforcement Learning. ICML Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2022	J	`jnl`	Optimizing Tensor Network Contraction Using Reinforcement Learning. CoRR Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2021	A*	`conf`	Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. ICML Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2021	A*	`conf`	From Local Structures to Size Generalization in Graph Neural Networks. ICML Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron
2021	A	`conf`	Known unknowns: Learning novel concepts using reasoning-by-elimination. UAI Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik
2020	J	`jnl`	How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks. CoRR Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2020	J	`jnl`	On Size Generalization in Graph Neural Networks. CoRR Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron
2018	J	`jnl`	Detecting Cascades from Weak Signatures. IEEE Trans. Netw. Sci. Eng. Eli A. Meirom, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai
2017	A	`conf`	Proxy Voting for Better Outcomes. AAMAS Gal Cohensius, Shie Mannor, Reshef Meir, Eli A. Meirom, Ariel Orda
2017	J	`jnl`	Strategic Formation of Heterogeneous Networks. IEEE J. Sel. Areas Commun. Eli A. Meirom, Shie Mannor, Ariel Orda
2016	A	`conf`	NuC-MKL: A Convex Approach to Non Linear Multiple Kernel Learning. AISTATS Eli A. Meirom, Pavel Kisilev
2016	J	`jnl`	Proxy Voting for Better Outcomes. CoRR Gal Cohensius, Shie Mannor, Reshef Meir, Eli A. Meirom, Ariel Orda
2016	J	`jnl`	Strategic Formation of Heterogeneous Networks. CoRR Eli A. Meirom, Shie Mannor, Ariel Orda
2015	A*	`conf`	Formation games of reliable networks. INFOCOM Eli A. Meirom, Shie Mannor, Ariel Orda
2015	A*	`conf`	Localized Epidemic Detection in Networks with Overwhelming Noise. SIGMETRICS Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Sanjay Shakkottai, Ariel Orda
2014	J	`jnl`	Formation Games of Reliable Networks. CoRR Eli A. Meirom, Shie Mannor, Ariel Orda
2014	J	`jnl`	Localized epidemic detection in networks with overwhelming noise. CoRR Eli A. Meirom, Chris Milling, Constantine Caramanis, Shie Mannor, Ariel Orda, Sanjay Shakkottai
2014	A*	`conf`	Network formation games with heterogeneous players and the internet structure. EC Eli A. Meirom, Shie Mannor, Ariel Orda
2013	J	`jnl`	Formation Games and the Internet Structure. CoRR Eli A. Meirom, Shie Mannor, Ariel Orda

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.