Elias Boutros Khalil

12 papers A* 5Journal 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Reinforcement learning with combinatorial actions for coupled restless bandits. ICLR Lily Xu, Bryan Wilder, Elias Boutros Khalil, Milind Tambe
2025	A*	`conf`	Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction. ICML Yudong Xu, Wenhao Li, Scott Sanner, Elias Boutros Khalil
2025	J	`jnl`	Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects. Trans. Mach. Learn. Res. Wenhao Li, Yudong Xu, Scott Sanner, Elias Boutros Khalil
2024	J	`jnl`	LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations. Trans. Mach. Learn. Res. Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias Boutros Khalil
2024	A*	`conf`	Neur2RO: Neural Two-Stage Robust Optimization. ICLR Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias Boutros Khalil
2024	J	`jnl`	Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects. CoRR Wenhao Li, Yudong Xu, Scott Sanner, Elias Boutros Khalil
2022	J	`jnl`	Deep Policies for Online Bipartite Matching: A Reinforcement Learning Approach. Trans. Mach. Learn. Res. Mohammad Ali Alomrani, Reza Moravej, Elias Boutros Khalil
2022	J	`jnl`	Lookback for Learning to Branch. Trans. Mach. Learn. Res. Prateek Gupta, Elias Boutros Khalil, Didier Chételat, Maxime Gasse, Andrea Lodi, Yoshua Bengio, M. Pawan Kumar
2020	—	`—`	Towards Tighter Integration of Machine Learning and Discrete Optimization. Elias Boutros Khalil
2017	J	`jnl`	Fake News Mitigation via Point Process Based Intervention. CoRR Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias Boutros Khalil, Shuang Li, Le Song, Hongyuan Zha
2016	A*	`conf`	Learning to Branch in Mixed Integer Programming. AAAI Elias Boutros Khalil, Pierre Le Bodic, Le Song, George L. Nemhauser, Bistra Dilkina
2014	A*	`conf`	Scalable diffusion-aware optimization of network topology. KDD Elias Boutros Khalil, Bistra Dilkina, Le Song

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.