Benjamin J. Zhang

14 papers A* 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Optimal Control for Transformer Architectures: Enhancing Generalization, Robustness and Efficiency. CoRR Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley J. Osher, Markos A. Katsoulakis
2025	J	`jnl`	Particle exchange Monte Carlo methods for eigenfunction and related nonlinear problems. CoRR Paul Dupuis, Benjamin J. Zhang
2025	J	`jnl`	Probabilistic operator learning: generative modeling and uncertainty quantification for foundation models of differential equations. CoRR Benjamin J. Zhang, Siting Liu, Stanley J. Osher, Markos A. Katsoulakis
2025	J	`jnl`	Stability of Transformers under Layer Normalization. CoRR Kelvin Kan, Xingjian Li, Benjamin J. Zhang, Tuhin Sahai, Stanley J. Osher, Krishna Kumar, Markos A. Katsoulakis
2024	J	`jnl`	Combining Wasserstein-1 and Wasserstein-2 proximals: robust manifold learning via well-posed generative flows. CoRR Hyemin Gu, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang
2024	J	`jnl`	Equivariant score-based generative models provably learn distributions with symmetries efficiently. CoRR Ziyu Chen, Markos A. Katsoulakis, Benjamin J. Zhang
2024	J	`jnl`	Nonlinear denoising score matching for enhanced learning of structured distributions. CoRR Jeremiah Birrell, Markos A. Katsoulakis, Luc Rey-Bellet, Benjamin J. Zhang, Wei Zhu
2024	A*	`conf`	Score-based generative models are provably robust: an uncertainty quantification perspective. NeurIPS Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang, Markos A. Katsoulakis
2024	J	`jnl`	Score-based generative models are provably robust: an uncertainty quantification perspective. CoRR Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang, Markos A. Katsoulakis
2024	J	`jnl`	Wasserstein proximal operators describe score-based generative models and resolve memorization. CoRR Benjamin J. Zhang, Siting Liu, Wuchen Li, Markos A. Katsoulakis, Stanley J. Osher
2023	J	`jnl`	A mean-field games laboratory for generative modeling. CoRR Benjamin J. Zhang, Markos A. Katsoulakis
2022	J	`jnl`	A Koopman framework for rare event simulation in stochastic differential equations. J. Comput. Phys. Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk
2022	J	`jnl`	Geometry-informed irreversible perturbations for accelerated convergence of Langevin dynamics. Stat. Comput. Benjamin J. Zhang, Youssef M. Marzouk, Konstantinos Spiliopoulos
2021	J	`jnl`	Computing eigenfunctions of the multidimensional Ornstein-Uhlenbeck operator. CoRR Benjamin J. Zhang, Tuhin Sahai, Youssef M. Marzouk

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.