| On the global optima of kernelized adversarial representation learning B Sadeghi, R Yu, V Boddeti Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 27 | 2019 |
| Imparting fairness to pre-trained biased representations B Sadeghi, VN Boddeti Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 13 | 2020 |
| Shifting interpolation kernel toward orthogonal projection B Sadeghi, R Yu, R Wang IEEE Transactions on Signal Processing 66 (1), 101-112, 2017 | 7 | 2017 |
| Shift-variance and nonstationarity of linear periodically shift-variant systems and applications to generalized sampling-reconstruction processes B Sadeghi, R Yu IEEE Transactions on Signal Processing 64 (6), 1493-1506, 2015 | 7 | 2015 |
| On characterizing the trade-off in invariant representation learning B Sadeghi, S Dehdashtian, V Boddeti arXiv preprint arXiv:2109.03386, 2021 | 5 | 2021 |
| Shift-variance and cyclostationarity of linear periodically shift-variant systems B Sadeghi, R Yu 10th Int. Conf. Sampling Process. Theory Appl., Bremen, 2013 | 5 | 2013 |
| On the fundamental trade-offs in learning invariant representations B Sadeghi, V Boddeti | 4 | 2021 |
| Adversarial representation learning with closed-form solvers B Sadeghi, L Wang, VN Boddeti Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 3 | 2021 |
| Constrained Sampling: Optimum Reconstruction in Subspace With Minimax Regret Constraint B Sadeghi, R Yu, VN Boddeti IEEE Transactions on Signal Processing 67 (16), 4218-4230, 2019 | 1 | 2019 |
| Method and system for optimizing a pair of affine classifiers based on a diversity metric S Rane, B Sadeghi, AE Brito US Patent App. 17/944,939, 2024 | | 2024 |
| Method and system for learning an ensemble of neural network kernel classifiers based on partitions of the training data AE Brito, B Sadeghi, S Rane US Patent App. 17/400,016, 2023 | | 2023 |
| Invariant Representation Learning via Functions in Reproducing Kernel Hilbert Spaces B Sadeghi Michigan State University, 2023 | | 2023 |
| Method and system for creating an ensemble of machine learning models to defend against adversarial examples AE Brito, B Sadeghi, S Rane US Patent App. 17/345,996, 2022 | | 2022 |
| On Characterizing the Trade-off in Invariant Representation Learning B Sadeghi, S Dehdashtian, V Boddeti Transactions on Machine Learning Research, 2022 | | 2022 |
| Characterizing the Fundamental Trade-offs in Learning Invariant Representations B Sadeghi, S Dehdashtian, V Boddeti arXiv e-prints, arXiv: 2109.03386, 2021 | | 2021 |
| Shift-variance of linear periodically shift-variant systems and non-stationarity of wide-sense cyclostationary random processes B Sadeghi Eastern Mediterranean University (EMU)-Doğu Akdeniz Üniversitesi (DAÜ), 2013 | | 2013 |
| On the Global Optima of Kernelized Adversarial Representation Learning (Supplementary Material) B Sadeghi, R Yu, V Boddeti | | |
Vishnu Naresh BoddetiMichigan State UniversityVerified email at msu.edu
