| Banach space representer theorems for neural networks and ridge splines R Parhi, RD Nowak Journal of Machine Learning Research 22 (43), 1-40, 2021 | 108 | 2021 |
| The role of neural network activation functions R Parhi, RD Nowak IEEE Signal Processing Letters 27, 1779-1783, 2020 | 95* | 2020 |
| What Kinds of Functions Do Deep Neural Networks Learn? Insights from Variational Spline Theory R Parhi, RD Nowak SIAM Journal on Mathematics of Data Science 4 (2), 464-489, 2022 | 71 | 2022 |
| Near-minimax optimal estimation with shallow ReLU neural networks R Parhi, RD Nowak IEEE Transactions on Information Theory 69 (2), 1125-1140, 2023 | 31 | 2023 |
| Fault-tolerant ripple-carry binary adder using partial triple modular redundancy (PTMR) R Parhi, CH Kim, KK Parhi 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 41-44, 2015 | 18 | 2015 |
| Deep Learning Meets Sparse Regularization: A Signal Processing Perspective R Parhi, RD Nowak IEEE Signal Processing Magazine 40 (6), 63-74, 2023 | 17 | 2023 |
| Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression J Shenouda, R Parhi, K Lee, RD Nowak arXiv preprint arXiv:2305.16534, 2023 | 9* | 2023 |
| On Continuous-Domain Inverse Problems with Sparse Superpositions of Decaying Sinusoids as Solutions R Parhi, RD Nowak ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 5 | 2022 |
| MP3: A more efficient private presence protocol R Parhi, M Schliep, N Hopper International Conference on Financial Cryptography and Data Security, 38-57, 2018 | 5 | 2018 |
| The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems R Parhi, M Unser IEEE Signal Processing Letters 30, 568-572, 2023 | 4 | 2023 |
| Distributional Extension and Invertibility of the -Plane Transform and Its Dual R Parhi, M Unser SIAM Journal on Mathematical Analysis 56 (4), 4662-4686, 2024 | 3 | 2024 |
| Weighted variation spaces and approximation by shallow ReLU networks R DeVore, RD Nowak, R Parhi, JW Siegel arXiv preprint arXiv:2307.15772, 2023 | 3 | 2023 |
| On Ridge Splines, Neural Networks, and Variational Problems in Radon-Domain BV Spaces R Parhi University of Wisconsin–Madison, 2022 | 3 | 2022 |
| Function-Space Optimality of Neural Architectures With Multivariate Nonlinearities R Parhi, M Unser arXiv preprint arXiv:2310.03696, 2023 | 1 | 2023 |
| A Continuous Transform for Localized Ridgelets J Shenouda, R Parhi, RD Nowak 2023 International Conference on Sampling Theory and Applications (SampTA), 1-5, 2023 | 1 | 2023 |
| Modulation Spaces and the Curse of Dimensionality R Parhi, M Unser 2023 International Conference on Sampling Theory and Applications (SampTA), 1-5, 2023 | 1 | 2023 |
| Random ReLU Neural Networks as Non-Gaussian Processes R Parhi, P Bohra, AE Biari, M Pourya, M Unser arXiv preprint arXiv:2405.10229, 2024 | | 2024 |
