Samuel Stevens

According to our database, Samuel Stevens authored at least 30 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Automatic Image-Level Morphological Trait Annotation for Organismal Images.

Vardaan Pahuja, Samuel Stevens, Alyson East, Sydne Record, Yu Su

CoRR, April, 2026

A continental-scale dataset of ground beetles with high-resolution images and validated morphological trait measurements.

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

CoRR, January, 2026

2025

Towards Open-Ended Visual Scientific Discovery with Sparse Autoencoders.

Samuel Stevens, Jacob Beattie, Tanya Y. Berger-Wolf, Yu Su

CoRR, November, 2025

BioBench: A Blueprint to Move Beyond ImageNet for Scientific ML Benchmarks.

Samuel Stevens

CoRR, November, 2025

BeetleFlow: An Integrative Deep Learning Pipeline for Beetle Image Processing.

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

CoRR, November, 2025

BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation Models.

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

CoRR, October, 2025

kabr-tools: Automated Framework for Multi-Species Behavioral Monitoring.

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

CoRR, October, 2025

Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video.

Maksim Kholiavchenko, Jenna Kline, Maksim Kukushkin, Otto Brookes, Sam Stevens, Isla Duporge, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew J. Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Majid Mirmehdi, Thomas Schmid, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Tilo Burghardt, Charles V. Stewart

Multim. Tools Appl., June, 2025

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens.

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

CoRR, May, 2025

BeetleVerse: A study on taxonomic classification of ground beetles.

S. M. Rayeed, Alyson East, Samuel Stevens, Sydne Record, Charles V. Stewart

CoRR, April, 2025

MMLA: Multi-Environment, Multi-Species, Low-Altitude Aerial Footage Dataset.

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

CoRR, April, 2025

Mind the Gap: Evaluating Vision Systems in Small Data Applications.

Samuel Stevens, S. M. Rayeed, Jenna Kline

CoRR, April, 2025

Sparse Autoencoders for Scientifically Rigorous Interpretation of Vision Models.

Samuel Stevens, Wei-Lun Chao, Tanya Y. Berger-Wolf, Yu Su

CoRR, February, 2025

Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.

Samuel Stevens, Emily Wenger, Cathy Yuanchen Li, Niklas Nolte, Eshika Saxena, François Charton, Kristin E. Lauter

Trans. Mach. Learn. Res., 2025

BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning.

Jianyang Gu, Sam 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Fine-Grained Beetle Taxonomy with Vision Models: A Benchmark on Long-Tailed and Domain-Adaptive Classification.

S. M. Rayeed, Alyson East, Samuel Stevens, Sydne Record, Charles V. Stewart

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos.

Maksim Kholiavchenko, Jenna Kline, Michelle Ramirez, Sam Stevens, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew J. Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Isla Duporge, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BioCLIP: A Vision Foundation Model for the Tree of Life.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

The Cool and the Cruel: Separating Hard Parts of LWE Secrets.

Niklas Nolte, Mohamed Malhou, Emily Wenger, Samuel Stevens, Cathy Yuanchen Li, François Charton, Kristin E. Lauter

Proceedings of the Progress in Cryptology - AFRICACRYPT 2024, 2024

2023

Mind2Web: Towards a Generalist Agent for the Web.

Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su

CoRR, 2023

Memorization for Good: Encryption with Autoregressive Language Models.

Samuel Stevens, Yu Su

CoRR, 2023

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System.

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

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

A Framework for Autonomic Computing for In Situ Imageomics.

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

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022

Bootstrapping a User-Centered Task-Oriented Dialogue System.

Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Lingbo Mo, Samuel Stevens, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun

CoRR, 2022

arXivEdits: Understanding the Human Revision Process in Scientific Writing.

Chao Jiang, Wei Xu, Samuel Stevens

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

An Investigation of Language Model Interpretability via Sentence Editing.

Samuel Stevens, Yu Su

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020

Understanding How BERT Learns to Identify Edits.

Samuel Stevens, Yu Su

CoRR, 2020

2013

Cloud-Based Software Platform for Big Data Analytics in Smart Grids.

Yogesh Simmhan, Saima Aman, Alok Gautam Kumbhare, Rongyang Liu, Sam Stevens, Qunzhi Zhou, Viktor K. Prasanna

Comput. Sci. Eng., 2013