| Hypergraph models of biological networks to identify genes critical to pathogenic viral response S Feng, E Heath, B Jefferson, C Joslyn, H Kvinge, HD Mitchell, ... BMC Bioinformatics 22 (1), 1-21, 2021 | 83 | 2021 |
| On the symmetries of deep learning models and their internal representations C Godfrey, D Brown, T Emerson, H Kvinge Advances in Neural Information Processing Systems 35, 11893-11905, 2022 | 25 | 2022 |
| SCITUNE: Aligning Large Language Models with Scientific Multimodal Instructions S Horawalavithana, S Munikoti, I Stewart, H Kvinge arXiv preprint arXiv:2307.01139, 2023 | 14 | 2023 |
| A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction H Kvinge, E Farnell, M Kirby, C Peterson 2018 17th International Symposium on Parallel and Distributed Computing …, 2018 | 13 | 2018 |
| Robustness of edited neural networks D Brown, C Godfrey, C Nizinski, J Tu, H Kvinge arXiv preprint arXiv:2303.00046, 2023 | 11 | 2023 |
| Making Corgis Important for Honeycomb Classification: Adversarial Attacks on Concept-based Explainability Tools D Brown, H Kvinge Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10* | 2023 |
| Khovanov’s Heisenberg category, moments in free probability, and shifted symmetric functions H Kvinge, AM Licata, S Mitchell Algebraic Combinatorics 2 (1), 49-74, 2019 | 10 | 2019 |
| In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? H Kvinge, T Emerson, G Jorgenson, S Vasquez, T Doster, J Lew Advances in Neural Information Processing Systems 35, 32816-32829, 2022 | 9 | 2022 |
| Multi-dimensional scaling on groups M Blumstein, H Kvinge Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 8 | 2021 |
| A data-driven approach to sampling matrix selection for compressive sensing E Farnell, H Kvinge, JP Dixon, JR Dupuis, M Kirby, C Peterson, ... Computational Imaging V 11396, 1139603, 2020 | 8 | 2020 |
| Mathematical methods for visualization and anomaly detection in telemetry datasets M Aminian, H Andrews-Polymenis, J Gupta, M Kirby, H Kvinge, X Ma, ... Interface Focus 10 (1), 20190086, 2020 | 7 | 2020 |
| Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets H Kvinge, E Farnell, M Kirby, C Peterson 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-7, 2018 | 7 | 2018 |
| Do neural networks trained with topological features learn different internal representations? S McGuire, S Jackson, T Emerson, H Kvinge NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 122-136, 2023 | 6 | 2023 |
| Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps N Courts, H Kvinge arXiv preprint arXiv:2110.06983, 2021 | 6 | 2021 |
| The center of the twisted Heisenberg category, factorial Schur Q-functions, and transition functions on the Schur graph H Kvinge, CO Oğuz, M Reeks Journal of Algebraic Combinatorics 52 (4), 469-504, 2020 | 5 | 2020 |
| Dimensionality Reduction S Chepushtanova, E Farnell, E Kehoe, M Kirby, H Kvinge Data Science for Mathematicians, 291-337, 2020 | 5 | 2020 |
| ICML 2023 Topological Deep Learning Challenge: Design and Results M Papillon, M Hajij, A Myers, F Frantzen, G Zamzmi, H Jenne, J Mathe, ... Topological, Algebraic and Geometric Learning Workshops 2023, 3-8, 2023 | 4 | 2023 |
| Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension H Kvinge, D Brown, C Godfrey arXiv preprint arXiv:2302.09301, 2023 | 4 | 2023 |
| Sheaves as a Framework for Understanding and Interpreting Model Fit H Kvinge, B Jefferson, C Joslyn, E Purvine Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 4 | 2021 |
| Total variation vs L1 regularization: a comparison of compressive sensing optimization methods for chemical detection E Farnell, H Kvinge, JR Dupuis, M Kirby, C Peterson, EC Schundler Computational Imaging V 11396, 113960Q, 2020 | 4 | 2020 |
Davis BrownPacific Northwest National LabVerified email at pnnl.gov
