| Radon cumulative distribution transform subspace modeling for image classification M Shifat-E-Rabbi, X Yin, AHM Rubaiyat, S Li, S Kolouri, A Aldroubi, ... Journal of Mathematical Imaging and Vision 63, 1185-1203, 2021 | 27 | 2021 |
| Partitioning signal classes using transport transforms for data analysis and machine learning A Aldroubi, S Li, GK Rohde Sampling theory, signal processing, and data analysis 19 (1), 6, 2021 | 24 | 2021 |
| Parametric signal estimation using the cumulative distribution transform AHM Rubaiyat, KM Hallam, JM Nichols, MN Hutchinson, S Li, GK Rohde IEEE Transactions on Signal Processing 68, 3312-3324, 2020 | 16 | 2020 |
| Learning Energy-Based Models With Adversarial Training X Yin, S Li, GK Rohde European Conference on Computer Vision, 209-226, 2022 | 10 | 2022 |
| Local sliced Wasserstein feature sets for illumination invariant face recognition Y Zhuang, S Li, M Shifat-E-Rabbi, X Yin, AHM Rubaiyat, GK Rohde Pattern Recognition, 111381, 2025 | 9 | 2025 |
| End-to-end signal classification in signed cumulative distribution transform space AHM Rubaiyat, S Li, X Yin, M Shifat-E-Rabbi, Y Zhuang, GK Rohde IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 8 | 2024 |
| Nearest subspace search in the signed cumulative distribution transform space for 1d signal classification AHM Rubaiyat, M Shifat-E-Rabbi, Y Zhuang, S Li, GK Rohde ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 8 | 2022 |
| Invariance encoding in sliced-Wasserstein space for image classification with limited training data M Shifat-E-Rabbi, Y Zhuang, S Li, AHM Rubaiyat, X Yin, GK Rohde Pattern recognition 137, 109268, 2023 | 7 | 2023 |
| Measure transfer via stochastic slicing and matching S Li, C Moosmueller arXiv preprint arXiv:2307.05705, 2023 | 5 | 2023 |
| Adaptive computation with splines on triangulations with hanging vertices S Li, LL Schumaker Approximation Theory XV: San Antonio 2016 15, 197-218, 2017 | 4 | 2017 |
| Geodesic Properties of a Generalized Wasserstein Embedding for Time Series Aanalysis S Li, A Hasnat, M Rubaiyat, GK Rohde Topological, Algebraic and Geometric Learning Workshops 2022, 216-225, 2022 | 2 | 2022 |
| Analyzing and improving generative adversarial training for generative modeling and out-of-distribution detection X Yin, G Rohde | 2 | 2020 |
| Approximation properties of slice-matching operators S Li, C Moosmüller Sampling Theory, Signal Processing, and Data Analysis 22 (1), 15, 2024 | 1 | 2024 |
| The Radon Signed Cumulative Distribution Transform and its applications in classification of Signed Images L Gong, S Li, NS Pathan, GK Rohde, AHM Rubaiyat, S Thareja arXiv preprint arXiv:2307.15339, 2023 | 1 | 2023 |
| Metric properties of partial and robust Gromov-Wasserstein distances J Chhoa, M Ivanitskiy, F Jiang, S Li, D McBride, T Needham, K O'Hare arXiv preprint arXiv:2411.02198, 2024 | | 2024 |
| Linear optimal transport subspaces for point set classification M Shifat-E-Rabbi, NS Pathan, S Li, Y Zhuang, AHM Rubaiyat, GK Rohde Research Square, rs. 3. rs-4106387, 2024 | | 2024 |
| Adaptive Methods and Collocation by Splines for Solving Differential Equations S Li | | 2019 |
| Linear independent component analysis in Wasserstein space S Li, C Moosmueller, C Wang 2025 Joint Mathematics Meetings (JMM 2025), 0 | | |
| Linear optimal transport subspaces for point set classification M Shifat-E-Rabbi, NS Pathan, S Li, Y Zhuang, AHM Rubaiyat, GK Rohde | | |
| Exploring Iterative Slice-Matching for Measure Transport S Li, C Moosmueller 2024 Joint Mathematics Meetings (JMM 2024), 0 | | |
Gustavo Kunde RohdeUniversity of Virginiavirginia.edu의 이메일 확인됨