Adarsh Pyarelal

19 papers A* 2B 1Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	MultiCAT: Multimodal Communication Annotations for Teams. NAACL (Findings) Adarsh Pyarelal, John Culnan, Ayesha Qamar, Meghavarshini Krishnaswamy, Yuwei Wang, Cheonkam Jeong, Chen Chen, Md Messal Monem Miah, Shahriar Hormozi, Jonathan Tong, Ruihong Huang
2024	J	`jnl`	Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games. CoRR Liang Zhang, Justin Lieffers, Adarsh Pyarelal
2024	A*	`conf`	Probabilistic Modeling of Interpersonal Coordination Processes. ICML Paulo Soares, Adarsh Pyarelal, Meghavarshini Krishnaswamy, Emily Butler, Kobus Barnard
2024	J	`jnl`	Variable Extraction for Model Recovery in Scientific Literature. CoRR Chunwei Liu, Enrique Noriega-Atala, Adarsh Pyarelal, Clayton T. Morrison, Mike Cafarella
2024	—	`conf`	When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context. EMNLP (Findings) Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, Mihai Surdeanu
2024	J	`jnl`	When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context. CoRR Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, Mihai Surdeanu
2023	—	`conf`	Hierarchical Fusion for Online Multimodal Dialog Act Classification. EMNLP (Findings) Md Messal Monem Miah, Adarsh Pyarelal, Ruihong Huang
2023	J	`jnl`	Probabilistic Modeling of Human Teams to Infer False Beliefs. CoRR Paulo Soares, Adarsh Pyarelal, Kobus Barnard
2023	A*	`conf`	The ToMCAT Dataset. NeurIPS Adarsh Pyarelal, Eric Duong, Caleb Shibu, Paulo Soares, Savannah Boyd, Payal Khosla, Valeria A. Pfeifer, Diheng Zhang, Eric Andrews, Rick Champlin, Vincent Raymond, Meghavarshini Krishnaswamy, Clayton T. Morrison, Emily Butler, Kobus Barnard
2023	—	`conf`	Who is Speaking? Speaker-Aware Multiparty Dialogue Act Classification. EMNLP (Findings) Ayesha Qamar, Adarsh Pyarelal, Ruihong Huang
2022	J	`jnl`	Deep Reinforcement Learning with Vector Quantized Encoding. CoRR Liang Zhang, Justin Lieffers, Adarsh Pyarelal
2022	J	`jnl`	Multi-Timescale Modeling of Human Behavior. CoRR Chinmai Basavaraj, Adarsh Pyarelal, Evan Carter
2022	J	`jnl`	Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time. CoRR Liang Zhang, Justin Lieffers, Adarsh Pyarelal
2021	—	`conf`	Modular Procedural Generation for Voxel Maps. ToM for Teams Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard
2021	J	`jnl`	Modular Procedural Generation for Voxel Maps. CoRR Adarsh Pyarelal, Aditya Banerjee, Kobus Barnard
2021	—	`conf`	Using Features at Multiple Temporal and Spatial Resolutions to Predict Human Behavior in Real Time. ToM for Teams Liang Zhang, Justin Lieffers, Adarsh Pyarelal
2020	J	`jnl`	AutoMATES: Automated Model Assembly from Text, Equations, and Software. CoRR Adarsh Pyarelal, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Paul Douglas Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison
2020	B	`conf`	MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions. LREC Maria Alexeeva, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Jennifer Kadowaki, Adarsh Pyarelal, Clayton T. Morrison
2019	—	`conf`	Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. NAACL-HLT (Demonstrations) Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock, Egoitz Laparra, Marco Antonio Valenzuela-Escárcega, Ajay Nagesh, Vikas Yadav, John A. Bachman, Zheng Tang, Heather C. Lent, Fan Luo, Mithun Paul, Steven Bethard, Kobus Barnard, Clayton T. Morrison, Mihai Surdeanu

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.