Leonard Papenmeier

15 papers A* 4A 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization. CoRR Leonard Papenmeier, Petru Tighineanu
2025	A*	`conf`	A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization. ICML Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi
2025	J	`jnl`	A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization. CoRR Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi
2025	J	`jnl`	Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization. CoRR Leonard Papenmeier, Luigi Nardi
2025	J	`jnl`	Benchmarking that Matters: Rethinking Benchmarking for Practical Impact. CoRR Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie
2025	A	`conf`	Exploring Exploration in Bayesian Optimization. UAI Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi
2025	J	`jnl`	Exploring Exploration in Bayesian Optimization. CoRR Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi
2025	J	`jnl`	Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing. CoRR Erik Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi
2025	A*	`conf`	Understanding High-Dimensional Bayesian Optimization. ICML Leonard Papenmeier, Matthias Poloczek, Luigi Nardi
2025	J	`jnl`	Understanding High-Dimensional Bayesian Optimization. CoRR Leonard Papenmeier, Matthias Poloczek, Luigi Nardi
2023	A*	`conf`	Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces. NeurIPS Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2023	J	`jnl`	Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces. CoRR Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2023	J	`jnl`	High-dimensional Bayesian Optimization with Group Testing. CoRR Erik Orm Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi
2023	J	`jnl`	Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces. CoRR Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2022	A*	`conf`	Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces. NeurIPS Leonard Papenmeier, Luigi Nardi, Matthias Poloczek

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.