Sabri Eyuboglu

24 papers A* 7Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters. ICLR Roberto Garcia, Jerry Weihong Liu, Daniel Sorvisto, Sabri Eyuboglu
2025	J	`jnl`	Adaptive Rank Allocation: Speeding Up Modern Transformers with RaNA Adapters. CoRR Roberto Garcia, Jerry W. Liu, Daniel Sorvisto, Sabri Eyuboglu
2025	J	`jnl`	Cartridges: Lightweight and general-purpose long context representations via self-study. CoRR Sabri Eyuboglu, Ryan Ehrlich, Simran Arora, Neel Guha, Dylan Zinsley, Emily Liu, Will Tennien, Atri Rudra, James Zou, Azalia Mirhoseini, Christopher Ré
2025	J	`jnl`	Constructing Efficient Fact-Storing MLPs for Transformers. CoRR Owen Dugan, Roberto Garcia, Ronald G. Junkins, Jerry W. Liu, Dylan Zinsley, Sabri Eyuboglu, Atri Rudra, Christopher Ré
2025	A*	`conf`	Cost-efficient Collaboration between On-device and Cloud Language Models. ICML Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott W. Linderman, James Zou, Christopher Ré
2025	J	`jnl`	Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models. CoRR Avanika Narayan, Dan Biderman, Sabri Eyuboglu, Avner May, Scott W. Linderman, James Zou, Christopher Ré
2024	J	`jnl`	Just read twice: closing the recall gap for recurrent language models. CoRR Simran Arora, Aman Timalsina, Aaryan Singhal, Benjamin Spector, Sabri Eyuboglu, Xinyi Zhao, Ashish Rao, Atri Rudra, Christopher Ré
2024	—	`conf`	Model ChangeLists: Characterizing Updates to ML Models. FAccT Sabri Eyuboglu, Karan Goel, Arjun Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou
2024	A*	`conf`	Simple linear attention language models balance the recall-throughput tradeoff. ICML Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, James Zou, Atri Rudra, Christopher Ré
2024	J	`jnl`	Simple linear attention language models balance the recall-throughput tradeoff. CoRR Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré
2024	A*	`conf`	Zoology: Measuring and Improving Recall in Efficient Language Models. ICLR Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré
2023	A*	`conf`	HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. AAAI Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou
2023	J	`jnl`	Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. CoRR Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
2023	J	`jnl`	Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes. Proc. VLDB Endow. Simran Arora, Brandon Yang, Sabri Eyuboglu, Avanika Narayan, Andrew Hojel, Immanuel Trummer, Christopher Ré
2023	J	`jnl`	Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. CoRR Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
2023	J	`jnl`	Zoology: Measuring and Improving Recall in Efficient Language Models. CoRR Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré
2022	J	`jnl`	DataPerf: Benchmarks for Data-Centric AI Development. CoRR Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
2022	A*	`conf`	Domino: Discovering Systematic Errors with Cross-Modal Embeddings. ICLR Sabri Eyuboglu, Maya Varma, Khaled Kamal Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
2022	J	`jnl`	Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
2022	A*	`conf`	HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. NeurIPS Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou
2022	J	`jnl`	HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. CoRR Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou
2022	—	`conf`	ViLMedic: a framework for research at the intersection of vision and language in medical AI. ACL (demo) Jean-Benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre J. Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis P. Langlotz
2022	—	`conf`	dcbench: a benchmark for data-centric AI systems. DEEM@SIGMOD Sabri Eyuboglu, Bojan Karlas, Christopher Ré, Ce Zhang, James Zou
2021	J	`jnl`	OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations. CoRR Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang, Jared Dunnmon, Arjun Soin, Guido A. Davidzon, Akshay Chaudhari, Matthew P. Lungren

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.