Kvinge, Henry

28 publications

CVPRW 2025 Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization Darryl Hannan, John Cooper, Dylan White, Timothy Doster, Henry Kvinge, Yijing Watkins

ICML 2025 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

ICML 2025 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

ICMLW 2024 Invertible Temper Modeling Using Normalizing Flows and the Effects of Structure Preserving Loss Tegan Emerson, Henry Kvinge, Keerti Sahithi Kappagantula, Sylvia Howland

NeurIPSW 2024 Machine Learning Meets Algebraic Combinatorics: A Suite of Datasets to Accelerate AI for Mathematics Research Herman Chau, Helen Jenne, Davis Brown, Jesse He, Mark Raugas, Sara C. Billey, Henry Kvinge

NeurIPSW 2024 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

ICMLW 2024 What Makes a Machine Learning Task a Good Candidate for an Equivariant Network? Scott Mahan, Davis Brown, Timothy Doster, Henry Kvinge

ICLRW 2024 Wild Comparisons: A Study of How Representation Similarity Changes When Input Data Is Drawn from a Shifted Distribution Davis Brown, Madelyn Ruth Shapiro, Alyson Bittner, Jackson Warley, Henry Kvinge

NeurIPSW 2023 Can We Count on Deep Learning: Exploring and Characterizing Combinatorial Structures Using Machine Learning Helen Jenne, Herman Chau, Davis Brown, Jackson Warley, Timothy Doster, Henry Kvinge

ICLRW 2023 Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension Henry Kvinge, Davis Brown, Charles Godfrey

ICLRW 2023 Fast Computation of Permutation Equivariant Layers with the Partition Algebra Charles Godfrey, Michael G. Rawson, Davis Brown, Henry Kvinge

ICMLW 2023 Fast Computation of Permutation Equivariant Layers with the Partition Algebra Charles Godfrey, Michael G. Rawson, Davis Brown, Henry Kvinge

NeurIPSW 2023 Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung H. Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge

NeurIPSW 2023 Haldane Bundles: A Dataset for Learning to Predict the Chern Number of Line Bundles on the Torus Cody Tipton, Elizabeth Coda, Davis Brown, Alyson Bittner, Jung Lee, Grayson Jorgenson, Tegan Emerson, Henry Kvinge

CVPRW 2023 How Many Dimensions Are Required to Find an Adversarial Example? Charles Godfrey, Henry Kvinge, Elise Bishoff, Myles Mckay, Davis Brown, Tim Doster, Eleanor Byler

NeurIPSW 2023 Internal Representations of Vision Models Through the Lens of Frames on Data Manifolds Henry Kvinge, Grayson Jorgenson, Davis Brown, Charles Godfrey, Tegan Emerson

CVPRW 2023 Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-Based Explainability Tools Davis Brown, Henry Kvinge

ICLRW 2023 Robustness of Edited Neural Networks Davis Brown, Charles Godfrey, Cody Nizinski, Jonathan Tu, Henry Kvinge

CVPRW 2023 TopFusion: Using Topological Feature Space for Fusion and Imputation in Multi-Modal Data Audun Myers, Henry Kvinge, Tegan Emerson

ICLR 2022 Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-One Maps Nico Courts, Henry Kvinge

NeurIPSW 2022 Do Neural Networks Trained with Topological Features Learn Different Internal Representations? Sarah McGuire, Shane William Jackson, Tegan Emerson, Henry Kvinge

ICLRW 2022 Fiber Bundle Morphisms as a Framework for Modeling Many-to-Many Maps Elizabeth Coda, Nico Courts, Colby Wight, Loc Truong, WoongJo Choi, Charles Godfrey, Tegan Emerson, Keerti Kappagantula, Henry Kvinge

NeurIPS 2022 In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Henry Kvinge, Tegan Emerson, Grayson Jorgenson, Scott Vasquez, Tim Doster, Jesse Lew

NeurIPS 2022 On the Symmetries of Deep Learning Models and Their Internal Representations Charles Godfrey, Davis Brown, Tegan Emerson, Henry Kvinge

ICLRW 2022 Random Filters for Enriching the Discriminatory Power of Topological Representations Tegan Emerson, Grayson Jorgenson, Henry Kvinge, Colin Olson

ICLRW 2022 TopTemp: Parsing Precipitate Structure from Temper Topology Tegan Emerson, Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula

ICCVW 2021 Multi-Dimensional Scaling on Groups Mark Blumstein, Henry Kvinge

ICCVW 2021 Sheaves as a Framework for Understanding and Interpreting Model Fit Henry Kvinge, Brett A. Jefferson, Cliff A. Joslyn, Emilie Purvine