| An overview of robust subspace recovery G Lerman, T Maunu Proceedings of the IEEE 106 (8), 1380-1410, 2018 | 138 | 2018 |
| Gradient descent algorithms for Bures-Wasserstein barycenters S Chewi, T Maunu, P Rigollet, AJ Stromme Conference on Learning Theory, 1276-1304, 2020 | 103 | 2020 |
| Fast, robust and non-convex subspace recovery G Lerman, T Maunu Information and Inference: A Journal of the IMA 7 (2), 277-336, 2018 | 88 | 2018 |
| SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence S Chewi, T Le Gouic, C Lu, T Maunu, P Rigollet Advances in Neural Information Processing Systems 33, 2098-2109, 2020 | 73 | 2020 |
| A well-tempered landscape for non-convex robust subspace recovery T Maunu, T Zhang, G Lerman Journal of Machine Learning Research 20 (37), 1-59, 2019 | 70 | 2019 |
| Score-based generative neural networks for large-scale optimal transport M Daniels, T Maunu, P Hand Advances in neural information processing systems 34, 12955-12965, 2021 | 59 | 2021 |
| Exponential ergodicity of mirror-Langevin diffusions S Chewi, T Le Gouic, C Lu, T Maunu, P Rigollet, A Stromme Advances in Neural Information Processing Systems 33, 19573-19585, 2020 | 52 | 2020 |
| Robust subspace recovery with adversarial outliers T Maunu, G Lerman arXiv preprint arXiv:1904.03275, 2019 | 10 | 2019 |
| Depth Descent Synchronization in T Maunu, G Lerman International journal of computer vision 131 (4), 968-986, 2023 | 9* | 2023 |
| Bures-wasserstein barycenters and low-rank matrix recovery T Maunu, T Le Gouic, P Rigollet International Conference on Artificial Intelligence and Statistics, 8183-8210, 2023 | 7 | 2023 |
| Stochastic and private nonconvex outlier-robust PCAs T Maunu, C Yu, G Lerman Mathematical and Scientific Machine Learning, 173-188, 2022 | 5 | 2022 |
| Scalable cluster-consistency statistics for robust multi-object matching Y Shi, S Li, T Maunu, G Lerman 2021 International Conference on 3D Vision (3DV), 352-360, 2021 | 5 | 2021 |
| RETHINKING PRINCIPAL COMPONENT ANALYSIS (PCA) FOR MODERN DATA SETS: THEORY, ALGORITHMS, AND APPLICATIONS I Johnstone, D Paul, L Balzano, Y Chi, YM Lu, H Zou, L Xue, SX Wu, ... Proceedings of the IEEE 106 (8), 2018 | 3 | 2018 |
| Acceleration and Implicit Regularization in Gaussian Phase Retrieval T Maunu, M Molina-Fructuoso International Conference on Artificial Intelligence and Statistics, 4060-4068, 2024 | | 2024 |
| First-Order Algorithms for Optimization over Graph Laplacians T Maunu 2023 International Conference on Sampling Theory and Applications (SampTA), 1-11, 2023 | | 2023 |
| A Framework for Nonconvex Robust Subspace Recovery T Maunu University of Minnesota, 2018 | | 2018 |
| A Model for the Origin of Spin half Para-magnetism in Fluorinated Graphene P Aditya, A Suarez, T Maunu, DB Carrasco, J Sofo APS March Meeting Abstracts 2013, F8. 008, 2013 | | 2013 |
| Correlated Percolation Model of Graphene Hydrogenation A Suarez, T Maunu, JO Sofo APS March Meeting Abstracts 2012, P34. 008, 2012 | | 2012 |
| The Geometry of Graph Projection, Interpolation, and Sketching T Maunu SIAM Conference on Mathematics of Data Science, 0 | | |
