Fast computations for approximation and compression in Slepian spaces. - Santhosh Karnik; Zhihui Zhu; Michael B. Wakin; Justin K. Romberg; Mark A. Davenport (GlobalSIP, 2016)

Fast orthogonal approximations of sampled sinusoids and bandlimited signals. - Zhihui Zhu; Santhosh Karnik; Michael B. Wakin; Mark A. Davenport; Justin K. Romberg (ICASSP, 2017)

The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. - Zhihui Zhu; Santhosh Karnik; Mark A. Davenport; Justin Romberg; Michael B. Wakin (IEEE Signal Process. Lett., 2018)

ROAST: Rapid Orthogonal Approximate Slepian Transform. - Zhihui Zhu; Santhosh Karnik; Michael B. Wakin; Mark A. Davenport; Justin Romberg (IEEE Trans. Signal Process., 2018)

Fast Algorithms for Sampled Multiband Signals. - Santhosh Karnik (2021)

Harmless interpolation in regression and classification with structured features. - Andrew D. McRae; Santhosh Karnik; Mark A. Davenport; Vidya K. Muthukumar (AISTATS, 2022)

Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons. - Andrew D. McRae; Austin Xu; Jihui Jin; Namrata Nadagouda; Nauman Ahad; Peimeng Guan; Santhosh Karnik; Mark A. Davenport (ICASSP, 2022)

Neural Network Approximation of Lipschitz Functions in High Dimensions with Applications to Inverse Problems. - Santhosh Karnik; Rongrong Wang; Mark A. Iwen (CoRR, 2022)

Thomson's Multitaper Method Revisited. - Santhosh Karnik; Justin Romberg; Mark A. Davenport (IEEE Trans. Inf. Theory, 2022)

Tensor Sandwich: Tensor Completion for Low CP-Rank Tensors via Adaptive Random Sampling. - Cullen Haselby; Santhosh Karnik; Mark A. Iwen (CoRR, 2023)

Iterative Broadband Source Localization. - Coleman DeLude; Rakshith Sharma Srinivasa; Santhosh Karnik; Christopher Hood; Mark A. Davenport; Justin Romberg (IEEE J. Sel. Areas Inf. Theory, 2023)

Tensor Deli: Tensor Completion for Low CP-Rank Tensors via Random Sampling. - Cullen Haselby; Mark A. Iwen; Santhosh Karnik; Rongrong Wang (CoRR, 2024)

Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent. - Santhosh Karnik; Anna Veselovska; Mark A. Iwen; Felix Krahmer (CoRR, 2024)

Neural network approximation of continuous functions in high dimensions with applications to inverse problems. - Santhosh Karnik; Rongrong Wang; Mark A. Iwen (J. Comput. Appl. Math., 2024)