Rahul Parhi

Orcid: 0000-0002-1971-7699

According to our database1, Rahul Parhi authored at least 14 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Deep Learning Meets Sparse Regularization: A signal processing perspective.
IEEE Signal Process. Mag., September, 2023

Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks.
IEEE Trans. Inf. Theory, February, 2023

The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems.
IEEE Signal Process. Lett., 2023

Banach Space Optimality of Neural Architectures With Multivariate Nonlinearities.
CoRR, 2023

Weighted variation spaces and approximation by shallow ReLU networks.
CoRR, 2023

Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization.
CoRR, 2023

2022
What Kinds of Functions Do Deep Neural Networks Learn? Insights from Variational Spline Theory.
SIAM J. Math. Data Sci., 2022

On Continuous-Domain Inverse Problems with Sparse Superpositions of Decaying Sinusoids as Solutions.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Banach Space Representer Theorems for Neural Networks and Ridge Splines.
J. Mach. Learn. Res., 2021

2020
The Role of Neural Network Activation Functions.
IEEE Signal Process. Lett., 2020

Neural Networks, Ridge Splines, and TV Regularization in the Radon Domain.
CoRR, 2020

2019
Minimum "Norm" Neural Networks are Splines.
CoRR, 2019

2018
MP3: A More Efficient Private Presence Protocol.
Proceedings of the Financial Cryptography and Data Security, 2018

2015
Fault-tolerant ripple-carry binary adder using partial triple modular redundancy (PTMR).
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015


  Loading...