| 2025 | CVPR | Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization. | Darryl Hannan, John Cooper, Dylan White, Timothy Doster, Henry Kvinge, Yijing Watkins |
| 2025 | ICIP | FMG-Det: Foundation Model Guided Robust Object Detection. | Darryl Hannan, Timothy Doster, Henry Kvinge, Adam Attarian, Yijing Watkins |
| 2025 | ICML | Machine Learning meets Algebraic Combinatorics: A Suite of Datasets Capturing Research-level Conjecturing Ability in Pure Mathematics. | Herman Chau, Helen Jenne, Davis Brown, Jesse He, Mark Raugas, Sara C. Billey, Henry Kvinge |
| 2025 | ICML | Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes. | Jesse He, Helen Jenne, Herman Chau, Davis Brown, Mark Raugas, Sara C. Billey, Henry Kvinge |
| 2023 | CVPR | Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools. | Davis Brown, Henry Kvinge |
| 2023 | CVPR | How many dimensions are required to find an adversarial example? | Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler |
| 2023 | CVPR | TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data. | Audun Myers, Henry Kvinge, Tegan Emerson |
| 2023 | EMNLP | Understanding the Inner-workings of Language Models Through Representation Dissimilarity. | Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge |
| 2022 | ICLR | Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps. | Nico Courts, Henry Kvinge |
| 2021 | AAAI | Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning. | Henry Kvinge, Zachary New, Nico Courts, Jung H. Lee, Lauren A. Phillips, Courtney D. Corley, Aaron Tuor, Andrew Avila, Nathan O. Hodas |
| 2020 | IGARSS | Rotational Equivariance for Object Classification Using xView. | Lucius Bynum, Timothy Doster, Tegan H. Emerson, Henry Kvinge |
| 2019 | ICMLA | Rare Geometries: Revealing Rare Categories via Dimension-Driven Statistics. | Henry Kvinge, Elin Farnell, Jingya Li, Yujia Chen |
| 2018 | ISPDC | A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction. | Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson |