Santhosh Karnik

According to our database, Santhosh Karnik authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., March, 2024

Implicit Regularization for Tubal Tensor Factorizations via Gradient Descent.

Santhosh Karnik, Anna Veselovska, Mark A. Iwen, Felix Krahmer

CoRR, 2024

Tensor Deli: Tensor Completion for Low CP-Rank Tensors via Random Sampling.

Cullen Haselby, Mark A. Iwen, Santhosh Karnik, Rongrong Wang

CoRR, 2024

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 Sandwich: Tensor Completion for Low CP-Rank Tensors via Adaptive Random Sampling.

Cullen Haselby, Santhosh Karnik, Mark A. Iwen

CoRR, 2023

2022

Thomson's Multitaper Method Revisited.

Santhosh Karnik, Justin Romberg, Mark A. Davenport

IEEE Trans. Inf. Theory, 2022

Neural Network Approximation of Lipschitz Functions in High Dimensions with Applications to Inverse Problems.

Santhosh Karnik, Rongrong Wang, Mark A. Iwen

CoRR, 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

Proceedings of the IEEE International Conference on Acoustics, 2022

Harmless interpolation in regression and classification with structured features.

Andrew D. McRae, Santhosh Karnik, Mark A. Davenport, Vidya K. Muthukumar

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Fast Algorithms for Sampled Multiband Signals.

Santhosh Karnik

PhD thesis, 2021

2018

ROAST: Rapid Orthogonal Approximate Slepian Transform.

Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin Romberg

IEEE Trans. Signal Process., 2018

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

2017

Fast orthogonal approximations of sampled sinusoids and bandlimited signals.

Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin K. Romberg

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Fast computations for approximation and compression in Slepian spaces.

Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin K. Romberg, Mark A. Davenport

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016