Leo Kozachkov - RankMe

22 papers A* 2Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems. Trans. Mach. Learn. Res. Xavier Gonzalez, Estefany Kelly Buchanan, Hyun Dong Lee, Jerry Weihong Liu, Ke Alexander Wang, David M. Zoltowski, Leo Kozachkov, Christopher Ré, Scott W. Linderman
2026	J	`jnl`	Self-Attention at Constant Cost per Token via Symmetry-Aware Taylor Approximation. CoRR Franz A. Heinsen, Leo Kozachkov
2025	J	`jnl`	Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation. CoRR Reece Keller, Alyn Tornell, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi
2025	J	`jnl`	Characterizing control between interacting subsystems with deep Jacobian estimation. CoRR Adam Eisen, Mitchell Ostrow, Sarthak Chandra, Leo Kozachkov, Earl K. Miller, Ila R. Fiete
2025	J	`jnl`	Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation. CoRR Franz A. Heinsen, Leo Kozachkov
2025	J	`jnl`	Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation. Trans. Mach. Learn. Res. Franz A. Heinsen, Leo Kozachkov
2025	J	`jnl`	InputDSA: Demixing then Comparing Recurrent and Externally Driven Dynamics. CoRR Ann Huang, Mitchell Ostrow, Satpreet H. Singh, Leo Kozachkov, Ila Fiete, Kanaka Rajan
2025	J	`jnl`	NRGPT: An Energy-based Alternative for GPT. CoRR Nima Dehmamy, Benjamin Hoover, Bishwajit Saha, Leo Kozachkov, Jean-Jacques E. Slotine, Dmitry Krotov
2025	J	`jnl`	Predictability Enables Parallelization of Nonlinear State Space Models. CoRR Xavier Gonzalez, Leo Kozachkov, David M. Zoltowski, Kenneth L. Clarkson, Scott W. Linderman
2024	J	`jnl`	Is All Learning (Natural) Gradient Descent? CoRR Lucas Shoji, Kenta Suzuki, Leo Kozachkov
2024	J	`jnl`	Propofol-mediated Unconsciousness Disrupts Progression of Sensory Signals through the Cortical Hierarchy. J. Cogn. Neurosci. John Tauber, Scott L. Brincat, Emily P. Stephen, Jacob A. Donoghue, Leo Kozachkov, Emery N. Brown, Earl K. Miller
2023	A*	`conf`	Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis. NeurIPS Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete
2023	J	`jnl`	Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis. CoRR Mitchell Ostrow, Adam Eisen, Leo Kozachkov, Ila Fiete
2023	J	`jnl`	Contraction Properties of the Global Workspace Primitive. CoRR Michaela Ennis, Leo Kozachkov, Jean-Jacques E. Slotine
2023	J	`jnl`	Generalization as Dynamical Robustness-The Role of Riemannian Contraction in Supervised Learning. Trans. Mach. Learn. Res. Leo Kozachkov, Patrick M. Wensing, Jean-Jacques E. Slotine
2022	J	`jnl`	Generalization in Supervised Learning Through Riemannian Contraction. CoRR Leo Kozachkov, Patrick M. Wensing, Jean-Jacques E. Slotine
2022	A*	`conf`	RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks. NeurIPS Leo Kozachkov, Michaela Ennis, Jean-Jacques E. Slotine
2022	J	`jnl`	Robust and brain-like working memory through short-term synaptic plasticity. PLoS Comput. Biol. Leo Kozachkov, John Tauber, Mikael Lundqvist, Scott L. Brincat, Jean-Jacques E. Slotine, Earl K. Miller
2021	J	`jnl`	Recursive Construction of Stable Assemblies of Recurrent Neural Networks. CoRR Michaela Ennis, Leo Kozachkov, Jean-Jacques E. Slotine
2020	J	`jnl`	Achieving stable dynamics in neural circuits. PLoS Comput. Biol. Leo Kozachkov, Mikael Lundqvist, Jean-Jacques E. Slotine, Earl K. Miller
2020	—	`conf`	Sequence Learning in Associative Neuronal-Astrocytic Networks. BI Leo Kozachkov, Konstantinos P. Michmizos
2017	J	`jnl`	The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling Study. CoRR Leo Kozachkov, Konstantinos P. Michmizos

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.