Rahul Parhi
Orcid: 0000-0002-1971-7699
According to our database1,
Rahul Parhi
authored at least 17 papers
between 2015 and 2024.
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Bibliography
2024
Distributional Extension and Invertibility of the \(\boldsymbol{k}\)-Plane Transform and Its Dual.
SIAM J. Math. Anal., 2024
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression.
J. Mach. Learn. Res., 2024
2023
IEEE Signal Process. Mag., September, 2023
IEEE Trans. Inf. Theory, February, 2023
The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems.
IEEE Signal Process. Lett., 2023
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
J. Mach. Learn. Res., 2021
2020
CoRR, 2020
2019
2018
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