Rahul Parhi

35 papers A* 1C 1Misc 1Journal 31Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Compositional Function Spaces for Deep Learning.
SIAM Rev.
Rahul Parhi, Robert D. Nowak
2026 J jnl
On the Loss Landscape Geometry of Regularized Deep Matrix Factorization: Uniqueness and Sharpness.
CoRR
Anil Kamber, Rahul Parhi
2026 J jnl
The Inductive Bias of Convolutional Neural Networks: Locality and Weight Sharing Reshape Implicit Regularization.
CoRR
Tongtong Liang, Esha Singh, Rahul Parhi, Alexander Cloninger, Yu-Xiang Wang
2025 A* conf
A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis.
COLT
Akash Kumar, Rahul Parhi, Mikhail Belkin
2025 J jnl
A Gap Between the Gaussian RKHS and Neural Networks: An Infinite-Center Asymptotic Analysis.
CoRR
Akash Kumar, Rahul Parhi, Mikhail Belkin
2025 J jnl
Finding Stable Subnetworks at Initialization with Dataset Distillation.
CoRR
Luke McDermott, Rahul Parhi
2025 J jnl
Function-Space Optimality of Neural Architectures with Multivariate Nonlinearities.
SIAM J. Math. Data Sci.
Rahul Parhi, Michael Unser
2025 J jnl
Generalization Below the Edge of Stability: The Role of Data Geometry.
CoRR
Tongtong Liang, Alexander Cloninger, Rahul Parhi, Yu-Xiang Wang
2025 J jnl
LoLA: Low-Rank Linear Attention With Sparse Caching.
CoRR
Luke McDermott, Robert W. Heath Jr., Rahul Parhi
2025 J jnl
Optimal Recovery Meets Minimax Estimation.
CoRR
Ronald A. DeVore, Robert D. Nowak, Rahul Parhi, Guergana Petrova, Jonathan W. Siegel
2025 J jnl
Random ReLU Neural Networks as Non-Gaussian Processes.
J. Mach. Learn. Res.
Rahul Parhi, Pakshal Bohra, Ayoub El Biari, Mehrsa Pourya, Michael Unser
2025 J jnl
Sharpness of Minima in Deep Matrix Factorization: Exact Expressions.
CoRR
Anil Kamber, Rahul Parhi
2025 J jnl
Stable Minima of ReLU Neural Networks Suffer from the Curse of Dimensionality: The Neural Shattering Phenomenon.
CoRR
Tongtong Liang, Dan Qiao, Yuxiang Wang, Rahul Parhi
2025 J jnl
Towards Sharp Minimax Risk Bounds for Operator Learning.
CoRR
Ben Adcock, Gregor Maier, Rahul Parhi
2024 J jnl
Distributional Extension and Invertibility of the \(\boldsymbol{k}\)-Plane Transform and Its Dual.
SIAM J. Math. Anal.
Rahul Parhi, Michael Unser
2024 J jnl
Random ReLU Neural Networks as Non-Gaussian Processes.
CoRR
Rahul Parhi, Pakshal Bohra, Ayoub El Biari, Mehrsa Pourya, Michael Unser
2024 J jnl
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression.
J. Mach. Learn. Res.
Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert D. Nowak
2023 J jnl
Banach Space Optimality of Neural Architectures With Multivariate Nonlinearities.
CoRR
Rahul Parhi, Michael Unser
2023 J jnl
Deep Learning Meets Sparse Regularization: A Signal Processing Perspective.
CoRR
Rahul Parhi, Robert D. Nowak
2023 J jnl
Deep Learning Meets Sparse Regularization: A signal processing perspective.
IEEE Signal Process. Mag.
Rahul Parhi, Robert D. Nowak
2023 J jnl
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks.
IEEE Trans. Inf. Theory
Rahul Parhi, Robert D. Nowak
2023 J jnl
The Sparsity of Cycle Spinning for Wavelet-Based Solutions of Linear Inverse Problems.
IEEE Signal Process. Lett.
Rahul Parhi, Michael Unser
2023 J jnl
Vector-Valued Variation Spaces and Width Bounds for DNNs: Insights on Weight Decay Regularization.
CoRR
Joseph Shenouda, Rahul Parhi, Kangwook Lee, Robert D. Nowak
2023 J jnl
Weighted variation spaces and approximation by shallow ReLU networks.
CoRR
Ronald A. DeVore, Robert D. Nowak, Rahul Parhi, Jonathan W. Siegel
2022 Misc conf
On Continuous-Domain Inverse Problems with Sparse Superpositions of Decaying Sinusoids as Solutions.
ICASSP
Rahul Parhi, Robert D. Nowak
2022 J jnl
What Kinds of Functions Do Deep Neural Networks Learn? Insights from Variational Spline Theory.
SIAM J. Math. Data Sci.
Rahul Parhi, Robert D. Nowak
2021 J jnl
Banach Space Representer Theorems for Neural Networks and Ridge Splines.
J. Mach. Learn. Res.
Rahul Parhi, Robert D. Nowak
2021 J jnl
Near-Minimax Optimal Estimation With Shallow ReLU Neural Networks.
CoRR
Rahul Parhi, Robert D. Nowak
2021 J jnl
What Kinds of Functions do Deep Neural Networks Learn? Insights from Variational Spline Theory.
CoRR
Rahul Parhi, Robert D. Nowak
2020 J jnl
Neural Networks, Ridge Splines, and TV Regularization in the Radon Domain.
CoRR
Rahul Parhi, Robert D. Nowak
2020 J jnl
The Role of Neural Network Activation Functions.
IEEE Signal Process. Lett.
Rahul Parhi, Robert D. Nowak
2019 J jnl
Minimum "Norm" Neural Networks are Splines.
CoRR
Rahul Parhi, Robert D. Nowak
2018 — conf
MP3: A More Efficient Private Presence Protocol.
Financial Cryptography
Rahul Parhi, Michael Schliep, Nicholas Hopper
2016 J jnl
MP3: A More Efficient Private Presence Protocol.
CoRR
Rahul Parhi, Michael Schliep, Nicholas Hopper
2015 C conf
Fault-tolerant ripple-carry binary adder using partial triple modular redundancy (PTMR).
ISCAS
Rahul Parhi, Chris H. Kim, Keshab K. Parhi