Pakshal Bohra

Orcid: 0000-0002-2611-3834

According to our database1, Pakshal Bohra authored at least 11 papers between 2018 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Random ReLU Neural Networks as Non-Gaussian Processes.
J. Mach. Learn. Res., 2025

2024
Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks.
PhD thesis, 2024

Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions.
J. Mach. Learn. Res., 2024

2023
Approximation of Lipschitz Functions Using Deep Spline Neural Networks.
SIAM J. Math. Data Sci., June, 2023

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods.
IEEE Trans. Signal Process., 2023

A Neural-Network-Based Convex Regularizer for Inverse Problems.
IEEE Trans. Computational Imaging, 2023

2022
Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors.
IEEE Trans. Computational Imaging, 2022

A Neural-Network-Based Convex Regularizer for Image Reconstruction.
CoRR, 2022

2020
Continuous-Domain Signal Reconstruction Using $L_{p}$-Norm Regularization.
IEEE Trans. Signal Process., 2020

Computation of "Best" Interpolants in the Lp Sense.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018
Poisson Low-Rank Matrix Recovery Using the Anscombe Transform.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018


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