Samuel Stevens

35 papers A* 4B 1Journal 26Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A continental-scale dataset of ground beetles with high-resolution images and validated morphological trait measurements. CoRR S. M. Rayeed, Mridul Khurana, Alyson East, Isadora E. Fluck, Elizabeth G. Campolongo, Samuel Stevens, Iuliia Zarubiieva, Scott C. Lowe, Michael W. Denslow, Evan Donoso, Jiaman Wu, Michelle Ramirez, Benjamin Baiser, Charles V. Stewart, Paula M. Mabee, Tanya Y. Berger-Wolf, Anuj Karpatne, Hilmar Lapp, Robert P. Guralnick, Graham W. Taylor, Sydne Record
2025	J	`jnl`	BeetleFlow: An Integrative Deep Learning Pipeline for Beetle Image Processing. CoRR Fangxun Liu, S. M. Rayeed, Samuel Stevens, Alyson East, Cheng Hsuan Chiang, Colin Lee, Daniel Yi, Junke Yang, Tejas Naik, Ziyi Wang, Connor Kilrain, Elijah H. Buckwalter, Jiacheng Hou, Saul Ibaven Bueno, Shuheng Wang, Xinyue Ma, Yifan Liu, Zhiyuan Tao, Ziheng Zhang, Eric R. Sokol, Michael Belitz, Sydne Record, Charles V. Stewart, Wei-Lun Chao
2025	J	`jnl`	BeetleVerse: A study on taxonomic classification of ground beetles. CoRR S. M. Rayeed, Alyson East, Samuel Stevens, Sydne Record, Charles V. Stewart
2025	J	`jnl`	BioBench: A Blueprint to Move Beyond ImageNet for Scientific ML Benchmarks. CoRR Samuel Stevens
2025	J	`jnl`	BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation Models. CoRR Ziheng Zhang, Xinyue Ma, Arpita Chowdhury, Elizabeth G. Campolongo, Matthew J. Thompson, Net Zhang, Samuel Stevens, Hilmar Lapp, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao, Jianyang Gu
2025	J	`jnl`	BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning. CoRR Jianyang Gu, Samuel Stevens, Elizabeth G. Campolongo, Matthew J. Thompson, Net Zhang, Jiaman Wu, Andrei Kopanev, Zheda Mai, Alexander E. White, James P. Balhoff, Wasila M. Dahdul, Daniel I. Rubenstein, Hilmar Lapp, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su
2025	—	`conf`	Fine-Grained Beetle Taxonomy with Vision Models: A Benchmark on Long-Tailed and Domain-Adaptive Classification. ICCVW S. M. Rayeed, Alyson East, Samuel Stevens, Sydne Record, Charles V. Stewart
2025	J	`jnl`	MMLA: Multi-Environment, Multi-Species, Low-Altitude Aerial Footage Dataset. CoRR Jenna Kline, Samuel Stevens, Guy Maalouf, Camille Rondeau Saint-Jean, Dat Nguyen Ngoc, Majid Mirmehdi, David Guérin, Tilo Burghardt, Elzbieta Pastucha, Blair R. Costelloe, Matthew Watson, Thomas Richardson, Ulrik Pagh Schultz Lundquist
2025	J	`jnl`	Mind the Gap: Evaluating Vision Systems in Small Data Applications. CoRR Samuel Stevens, S. M. Rayeed, Jenna Kline
2025	J	`jnl`	Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens. CoRR Alyson East, Elizabeth G. Campolongo, Luke Meyers, S. M. Rayeed, Samuel Stevens, Iuliia Zarubiieva, Isadora E. Fluck, Jennifer C. Girón, Maximiliane Jousse, Scott C. Lowe, Kayla I Perry, Isabelle Betancourt, Noah Charney, Evan Donoso, Nathan Fox, Kim J. Landsbergen, Ekaterina Nepovinnykh, Michelle Ramirez, Parkash Singh, Khum Thapa-Magar, Matthew J. Thompson, Evan Waite, Tanya Y. Berger-Wolf, Hilmar Lapp, Paula M. Mabee, Graham Taylor, Sydne Record
2025	J	`jnl`	Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors. Trans. Mach. Learn. Res. Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2025	J	`jnl`	Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models. CoRR Samuel Stevens, Wei-Lun Chao, Tanya Y. Berger-Wolf, Yu Su
2025	J	`jnl`	Towards Open-Ended Visual Scientific Discovery with Sparse Autoencoders. CoRR Samuel Stevens, Jacob Beattie, Tanya Y. Berger-Wolf, Yu Su
2025	J	`jnl`	kabr-tools: Automated Framework for Multi-Species Behavioral Monitoring. CoRR Jenna Kline, Maksim Kholiavchenko, Samuel Stevens, Nina Van Tiel, Alison Zhong, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Isla Duporge, Matthew J. Thompson, Elizabeth G. Campolongo, Jackson Miliko, Neil Rosser, Tanya Y. Berger-Wolf, Charles V. Stewart, Daniel I. Rubenstein
2024	A*	`conf`	A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. ICLR Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
2024	A*	`conf`	BioCLIP: A Vision Foundation Model for the Tree of Life. CVPR Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles V. Stewart, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su
2024	A*	`conf`	MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. CVPR Xiang Yue, Yuansheng Ni, Tianyu Zheng, Kai Zhang, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
2024	J	`jnl`	SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors. IACR Cryptol. ePrint Arch. Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2024	J	`jnl`	Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors. CoRR Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter
2024	—	`conf`	The Cool and the Cruel: Separating Hard Parts of LWE Secrets. AFRICACRYPT Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
2024	J	`jnl`	The cool and the cruel: separating hard parts of LWE secrets. CoRR Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
2024	J	`jnl`	The cool and the cruel: separating hard parts of LWE secrets. IACR Cryptol. ePrint Arch. Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter
2023	—	`conf`	A Framework for Autonomic Computing for In Situ Imageomics. ACSOS Jenna Kline, Christopher Stewart, Tanya Y. Berger-Wolf, Michelle Ramirez, Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Elizabeth G. Campolongo, Matthew J. Thompson, Charles V. Stewart, Maksim Kholiavchenko, Daniel I. Rubenstein, Nina Van Tiel, Jackson Miliko
2023	J	`jnl`	A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis. CoRR Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao
2023	J	`jnl`	BIOCLIP: A Vision Foundation Model for the Tree of Life. CoRR Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles V. Stewart, Tanya Y. Berger-Wolf, Wei-Lun Chao, Yu Su
2023	J	`jnl`	MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI. CoRR Xiang Yue, Yuansheng Ni, Kai Zhang, Tianyu Zheng, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen
2023	J	`jnl`	Memorization for Good: Encryption with Autoregressive Language Models. CoRR Samuel Stevens, Yu Su
2023	J	`jnl`	Mind2Web: Towards a Generalist Agent for the Web. CoRR Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su
2023	B	`conf`	Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System. SIGDIAL Lingbo Mo, Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Sunit Singh, Samuel Stevens, Chang-You Tai, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun
2023	J	`jnl`	Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System. CoRR Lingbo Mo, Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Sunit Singh, Samuel Stevens, Chang-You Tai, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun
2022	J	`jnl`	Bootstrapping a User-Centered Task-Oriented Dialogue System. CoRR Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Lingbo Mo, Samuel Stevens, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun
2022	A*	`conf`	arXivEdits: Understanding the Human Revision Process in Scientific Writing. EMNLP Chao Jiang, Wei Xu, Samuel Stevens
2022	J	`jnl`	arXivEdits: Understanding the Human Revision Process in Scientific Writing. CoRR Chao Jiang, Wei Xu, Samuel Stevens
2021	—	`conf`	An Investigation of Language Model Interpretability via Sentence Editing. BlackboxNLP@EMNLP Samuel Stevens, Yu Su
2020	J	`jnl`	Understanding How BERT Learns to Identify Edits. CoRR Samuel Stevens, Yu Su

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.