Rahul Parhi - RankMe

35 papers A* 1C 1Misc 1Journal 31Unranked 1

Year	Rank	Type	Title / 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