Patrick Simianer

21 papers A* 1Misc 1Journal 8Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems. RANLP Lia Shahnazaryan, Patrick Simianer, Joern Wuebker
2025	J	`jnl`	Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems. CoRR Lia Shahnazaryan, Patrick Simianer, Joern Wuebker
2023	J	`jnl`	Neural Machine Translation Models Can Learn to be Few-shot Learners. CoRR Raphael Reinauer, Patrick Simianer, Kaden Uhlig, Johannes E. M. Mosig, Joern Wuebker
2020	J	`jnl`	The Impact of Text Presentation on Translator Performance. CoRR Samuel Läubli, Patrick Simianer, Joern Wuebker, Geza Kovacs, Rico Sennrich, Spence Green
2019	—	`conf`	Measuring Immediate Adaptation Performance for Neural Machine Translation. NAACL-HLT (1) Patrick Simianer, Joern Wuebker, John DeNero
2018	J	`jnl`	A user-study on online adaptation of neural machine translation to human post-edits. Mach. Transl. Sariya Karimova, Patrick Simianer, Stefan Riezler
2018	A*	`conf`	Compact Personalized Models for Neural Machine Translation. EMNLP Joern Wuebker, Patrick Simianer, John DeNero
2018	J	`jnl`	Compact Personalized Models for Neural Machine Translation. CoRR Joern Wuebker, Patrick Simianer, John DeNero
2018	—	`—`	Preference learning for machine translation. Patrick Simianer
2017	J	`jnl`	A User-Study on Online Adaptation of Neural Machine Translation to Human Post-Edits. CoRR Sariya Karimova, Patrick Simianer, Stefan Riezler
2016	—	`conf`	A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation. COLING (Demos) Patrick Simianer, Sariya Karimova, Stefan Riezler
2015	—	`conf`	The Heidelberg University English-German translation system for IWSLT 2015. IWSLT (Evaluation Campaign) Laura Jehl, Patrick Simianer, Julian HIrschler, Stefan Riezler
2014	—	`conf`	Offline extraction of overlapping phrases for hierarchical phrase-based translation. IWSLT Sariya Karimova, Patrick Simianer, Stefan Riezler
2014	J	`jnl`	Online adaptation to post-edits for phrase-based statistical machine translation. Mach. Transl. Nicola Bertoldi, Patrick Simianer, Mauro Cettolo, Katharina Wäschle, Marcello Federico, Stefan Riezler
2014	—	`conf`	Response-based Learning for Grounded Machine Translation. ACL (1) Stefan Riezler, Patrick Simianer, Carolin Haas
2013	—	`conf`	Generative and Discriminative Methods for Online Adaptation in SMT. MTSummit Katharina Wäschle, Patrick Simianer, Nicola Bertoldi, Stefan Riezler, Marcello Federico
2013	—	`conf`	Multi-Task Learning for Improved Discriminative Training in SMT. WMT@ACL Patrick Simianer, Stefan Riezler
2013	—	`conf`	The HDU Discriminative SMT System for Constrained Data PatentMT at NTCIR10. NTCIR Patrick Simianer, Gesa Stupperich, Laura Jehl, Katharina Wäschle, Artem Sokolov, Stefan Riezler
2013	—	`conf`	The Heidelberg University machine translation systems for IWSLT2013. IWSLT (Evaluation Campaign) Patrick Simianer, Laura Jehl, Stefan Riezler
2012	—	`conf`	Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT. ACL (1) Patrick Simianer, Stefan Riezler, Chris Dyer
2011	J	`jnl`	Multi-Task Minimum Error Rate Training for SMT. Prague Bull. Math. Linguistics Patrick Simianer, Katharina Wäschle, Stefan Riezler

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.