Baptiste Goujaud

14 papers A* 2A 3Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere? CoRR Si Yi Meng, Baptiste Goujaud, Antonio Orvieto, Christopher De Sa
2024	J	`jnl`	PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. Math. Program. Comput. Baptiste Goujaud, Céline Moucer, François Glineur, Julien M. Hendrickx, Adrien B. Taylor, Aymeric Dieuleveut
2024	A	`conf`	Proving Linear Mode Connectivity of Neural Networks via Optimal Transport. AISTATS Damien Ferbach, Baptiste Goujaud, Gauthier Gidel, Aymeric Dieuleveut
2024	J	`jnl`	Short Paper - Quadratic minimization: from conjugate gradient to an adaptive Polyak's momentum method with Polyak step-sizes. Open J. Math. Optim. Baptiste Goujaud, Adrien B. Taylor, Aymeric Dieuleveut
2023	J	`jnl`	Counter-Examples in First-Order Optimization: A Constructive Approach. IEEE Control. Syst. Lett. Baptiste Goujaud, Aymeric Dieuleveut, Adrien B. Taylor
2023	—	`conf`	On Fundamental Proof Structures in First-Order Optimization. CDC Baptiste Goujaud, Aymeric Dieuleveut, Adrien B. Taylor
2023	J	`jnl`	Proving Linear Mode Connectivity of Neural Networks via Optimal Transport. CoRR Damien Ferbach, Baptiste Goujaud, Gauthier Gidel, Aymeric Dieuleveut
2022	A*	`conf`	Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound. NeurIPS Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud, Ioannis Mitliagkas
2022	J	`jnl`	PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. CoRR Baptiste Goujaud, Céline Moucer, François Glineur, Julien M. Hendrickx, Adrien B. Taylor, Aymeric Dieuleveut
2022	A	`conf`	Super-Acceleration with Cyclical Step-sizes. AISTATS Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien B. Taylor, Fabian Pedregosa
2021	A	`conf`	A Study of Condition Numbers for First-Order Optimization. AISTATS Charles Guille-Escuret, Manuela Girotti, Baptiste Goujaud, Ioannis Mitliagkas
2020	J	`jnl`	A Study of Condition Numbers for First-Order Optimization. CoRR Charles Guille-Escuret, Baptiste Goujaud, Manuela Girotti, Ioannis Mitliagkas
2019	A*	`conf`	Gradient based sample selection for online continual learning. NeurIPS Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio
2019	J	`jnl`	Online continual learning with no task boundaries. CoRR Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio

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.