Benjamin Estermann

18 papers A* 3A 1B 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks. CoRR Niccolò Grillo, Andrea Toccaceli, Joël Mathys, Benjamin Estermann, Stefania Fresca, Roger Wattenhofer
2025	J	`jnl`	Optimizing resource allocation: An active learning approach to iterative combinatorial auctions. Theor. Comput. Sci. Benjamin Estermann, Stefan Kramer, Roger Wattenhofer, Kanye Ye Wang
2025	J	`jnl`	Reasoning Effort and Problem Complexity: A Scaling Analysis in LLMs. CoRR Benjamin Estermann, Roger Wattenhofer
2024	—	`conf`	Active Learning Supported Iterative Combinatorial Auctions. IJTCS-FAW Benjamin Estermann, Stefan Kramer, Roger Wattenhofer, Kanye Ye Wang
2024	J	`jnl`	Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training. CoRR Paul Doucet, Benjamin Estermann, Till Aczel, Roger Wattenhofer
2024	A*	`conf`	PUZZLES: A Benchmark for Neural Algorithmic Reasoning. NeurIPS Benjamin Estermann, Luca A. Lanzendörfer, Yannick Niedermayr, Roger Wattenhofer
2024	J	`jnl`	PUZZLES: A Benchmark for Neural Algorithmic Reasoning. CoRR Benjamin Estermann, Luca A. Lanzendörfer, Yannick Niedermayr, Roger Wattenhofer
2024	J	`jnl`	SUPClust: Active Learning at the Boundaries. CoRR Yuta Ono, Till Aczel, Benjamin Estermann, Roger Wattenhofer
2023	—	`conf`	Abstract Visual Reasoning Enabled by Language. CVPR Workshops Giacomo Camposampiero, Loïc Houmard, Benjamin Estermann, Joël Mathys, Roger Wattenhofer
2023	A*	`conf`	DAVA: Disentangling Adversarial Variational Autoencoder. ICLR Benjamin Estermann, Roger Wattenhofer
2023	J	`jnl`	DAVA: Disentangling Adversarial Variational Autoencoder. CoRR Benjamin Estermann, Roger Wattenhofer
2023	A	`conf`	Deep Learning-Powered Iterative Combinatorial Auctions with Active Learning. AAMAS Benjamin Estermann, Stefan Kramer, Roger Wattenhofer, Ye Wang
2023	J	`jnl`	Leveraging Machine Learning for Bidding Strategies in Miner Extractable Value (MEV) Auctions. IACR Cryptol. ePrint Arch. Christoffer Raun, Benjamin Estermann, Liyi Zhou, Kaihua Qin, Roger Wattenhofer, Arthur Gervais, Ye Wang
2023	J	`jnl`	Visual Abstraction and Reasoning through Language. CoRR Giacomo Camposampiero, Loïc Houmard, Benjamin Estermann, Joël Mathys, Roger Wattenhofer
2023	B	`conf`	What Determines the Price of NFTs? ICPADS Vivian Ziemke, Benjamin Estermann, Roger Wattenhofer, Ye Wang
2023	J	`jnl`	What Determines the Price of NFTs? CoRR Vivian Ziemke, Benjamin Estermann, Roger Wattenhofer, Ye Wang
2020	A*	`conf`	Robust Disentanglement of a Few Factors at a Time. NeurIPS Benjamin Estermann, Markus Marks, Mehmet Fatih Yanik
2020	J	`jnl`	Robust Disentanglement of a Few Factors at a Time. CoRR Benjamin Estermann, Markus Marks, Mehmet Fatih Yanik

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.