Shift-Variance and Nonstationarity of Linear Periodically Shift-Variant Systems and Applications to Generalized Sampling-Reconstruction Processes. - Bashir Sadeghi; Runyi Yu 001 (IEEE Trans. Signal Process., 2016)

Shifting Interpolation Kernel Toward Orthogonal Projection. - Bashir Sadeghi; Runyi Yu 001; Ruili Wang (IEEE Trans. Signal Process., 2018)

On the Global Optima of Kernelized Adversarial Representation Learning. - Bashir Sadeghi; Runyi Yu 001; Vishnu Boddeti (ICCV, 2019)

Constrained Sampling: Optimum Reconstruction in Subspace With Minimax Regret Constraint. - Bashir Sadeghi; Runyi Yu 001; Vishnu Naresh Boddeti (IEEE Trans. Signal Process., 2019)

Imparting Fairness to Pre-Trained Biased Representations. - Bashir Sadeghi; Vishnu Naresh Boddeti (CVPR Workshops, 2020)

Adversarial Representation Learning with Closed-Form Solvers. - Bashir Sadeghi; Lan Wang; Vishnu Naresh Boddeti (ECML/PKDD (2), 2021)

On the Fundamental Trade-offs in Learning Invariant Representations. - Bashir Sadeghi; Vishnu Boddeti (CoRR, 2021)

On Characterizing the Trade-off in Invariant Representation Learning. - Bashir Sadeghi; Sepehr Dehdashtian; Vishnu Boddeti (Trans. Mach. Learn. Res., 2022)

Utility-Fairness Trade-Offs and how to Find Them. - Sepehr Dehdashtian; Bashir Sadeghi; Vishnu Naresh Boddeti (CVPR, 2024)