An overview of robust subspace recovery G Lerman, T Maunu
Proceedings of the IEEE 106 (8), 1380-1410, 2018
141 2018 Gradient descent algorithms for Bures-Wasserstein barycenters S Chewi, T Maunu, P Rigollet, AJ Stromme
Conference on Learning Theory, 1276-1304, 2020
117 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
89 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
84 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
72 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
66 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
60 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
8 2023 Stochastic and private nonconvex outlier-robust PCAs T Maunu, C Yu, G Lerman
Mathematical and Scientific Machine Learning, 173-188, 2022
6 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 Preconditioned Subspace Langevin Monte Carlo T Maunu, J Yao
arXiv preprint arXiv:2412.13928, 2024
2024 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