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Bashir Sadeghi
Bashir Sadeghi
PhD, Computer Science and Engineering, Michigan State University
Verified email at msu.edu - Homepage
Title
Cited by
Cited by
Year
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
282019
Imparting fairness to pre-trained biased representations
B Sadeghi, VN Boddeti
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2020
132020
Shifting interpolation kernel toward orthogonal projection
B Sadeghi, R Yu, R Wang
IEEE Transactions on Signal Processing 66 (1), 101-112, 2017
72017
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
72015
On characterizing the trade-off in invariant representation learning
B Sadeghi, S Dehdashtian, V Boddeti
arXiv preprint arXiv:2109.03386, 2021
62021
Shift-variance and cyclostationarity of linear periodically shift-variant systems
B Sadeghi, R Yu
10th Int. Conf. Sampling Process. Theory Appl., Bremen, 2013
52013
On the fundamental trade-offs in learning invariant representations
B Sadeghi, V Boddeti
42021
Adversarial representation learning with closed-form solvers
B Sadeghi, L Wang, VN Boddeti
Machine Learning and Knowledge Discovery in Databases. Research Track†…, 2021
42021
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
12019
Utility-Fairness Trade-Offs and How to Find Them
S Dehdashtian, B Sadeghi, VN Boddeti
arXiv preprint arXiv:2404.09454, 2024
2024
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 ‹niversitesi (DA‹), 2013
2013
On the Global Optima of Kernelized Adversarial Representation Learning (Supplementary Material)
B Sadeghi, R Yu, V Boddeti
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