| 2025 | EMNLP | Adaptively profiling models with task elicitation. | Davis Brown, Prithvi Balehannina, Helen Jin, Shreya Havaldar, Hamed Hassani, Eric Wong |
| 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 | AAAI | Experimental Observations of the Topology of Convolutional Neural Network Activations. | Emilie Purvine, Davis Brown, Brett A. Jefferson, Cliff A. Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou |
| 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 | EMNLP | Understanding the Inner-workings of Language Models Through Representation Dissimilarity. | Davis Brown, Charles Godfrey, Nicholas Konz, Jonathan H. Tu, Henry Kvinge |