Eliezer de Souza da Silva

14 papers A* 2A 2Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows. CoRR David Baumgartner, Eliezer de Souza da Silva, Iñigo Urteaga
2025	J	`jnl`	On the Identifiability of Tensor Ranks via Prior Predictive Matching. CoRR Eliezer de Souza da Silva, Arto Klami, Diego Mesquita, Iñigo Urteaga
2025	A*	`conf`	When do GFlowNets learn the right distribution? ICLR Tiago da Silva, Rodrigo Barreto Alves, Eliezer de Souza da Silva, Amauri H. Souza, Vikas Garg, Samuel Kaski, Diego Mesquita
2024	A*	`conf`	On Divergence Measures for Training GFlowNets. NeurIPS Tiago da Silva, Eliezer de Souza da Silva, Diego Mesquita
2024	J	`jnl`	On Divergence Measures for Training GFlowNets. CoRR Tiago da Silva, Eliezer de Souza da Silva, Diego Mesquita
2023	J	`jnl`	Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching. J. Mach. Learn. Res. Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami
2021	—	`—`	Factorization models with relational and contextual information. Eliezer de Souza da Silva
2019	J	`jnl`	Augmented Memory Networks for Streaming-Based Active One-Shot Learning. CoRR Andreas Kvistad, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune
2019	J	`jnl`	Prior specification via prior predictive matching: Poisson matrix factorization and beyond. CoRR Eliezer de Souza da Silva, Tomasz Kusmierczyk, Marcelo Hartmann, Arto Klami
2019	A	`conf`	Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. WSDM Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune
2018	J	`jnl`	Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. CoRR Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune
2017	—	`conf`	Content-Based Social Recommendation with Poisson Matrix Factorization. ECML/PKDD (1) Eliezer de Souza da Silva, Helge Langseth, Heri Ramampiaro
2017	A	`conf`	New Probabilistic Models for Recommender Systems with Rich Contextual and Content Information. WSDM Eliezer de Souza da Silva
2017	—	`conf`	Poisson Factorization Models for Spatiotemporal Retrieval. GIR Eliezer de Souza da Silva, Dirk Ahlers

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.