Santhosh Karnik

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

High Dimensions

Random Sampling

Inverse Problems

Higher Order Tensors

Top Venues

IEEE J. Sel. Areas Inf. Theory

IEEE Trans. Inf. Theory

Publications

Santhosh Karnik, Rongrong Wang, Mark A. Iwen
Neural network approximation of continuous functions in high dimensions with applications to inverse problems. J. Comput. Appl. Math. 438 (2024)
Cullen Haselby, Mark A. Iwen, Santhosh Karnik, Rongrong Wang
Tensor Deli: Tensor Completion for Low CP-Rank Tensors via Random Sampling. CoRR (2024)
Cullen Haselby, Santhosh Karnik, Mark A. Iwen
Tensor Sandwich: Tensor Completion for Low CP-Rank Tensors via Adaptive Random Sampling. CoRR (2023)
Coleman DeLude, Rakshith Sharma Srinivasa, Santhosh Karnik, Christopher Hood, Mark A. Davenport, Justin Romberg
Iterative Broadband Source Localization. IEEE J. Sel. Areas Inf. Theory 4 (2023)
Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya K. Muthukumar
Harmless interpolation in regression and classification with structured features. AISTATS (2022)
Andrew D. McRae, Austin Xu, Jihui Jin, Namrata Nadagouda, Nauman Ahad, Peimeng Guan, Santhosh Karnik, Mark A. Davenport
Delta Distancing: A Lifting Approach to Localizing Items from User Comparisons. ICASSP (2022)
Santhosh Karnik, Rongrong Wang, Mark A. Iwen
Neural Network Approximation of Lipschitz Functions in High Dimensions with Applications to Inverse Problems. CoRR (2022)
Santhosh Karnik, Justin Romberg, Mark A. Davenport
Thomson's Multitaper Method Revisited. IEEE Trans. Inf. Theory 68 (7) (2022)
Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya Muthukumar
Harmless interpolation in regression and classification with structured features. CoRR (2021)
Santhosh Karnik, Justin Romberg, Mark A. Davenport
Thomson's Multitaper Method Revisited. CoRR (2021)
Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg
ROAST: Rapid Orthogonal Approximate Slepian Transform. IEEE Trans. Signal Process. 66 (22) (2018)
Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin
The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. IEEE Signal Process. Lett. 25 (1) (2018)
Zhihui Zhu, Santhosh Karnik, Mark A. Davenport, Justin Romberg, Michael B. Wakin
The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators. CoRR (2017)
Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin K. Romberg
Fast orthogonal approximations of sampled sinusoids and bandlimited signals. ICASSP (2017)
Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg
ROAST: Rapid Orthogonal Approximate Slepian Transform. CoRR (2017)
Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin K. Romberg, Mark A. Davenport
Fast computations for approximation and compression in Slepian spaces. GlobalSIP (2016)