Pakshal Bohra

According to our database, Pakshal Bohra authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Approximation of Lipschitz Functions Using Deep Spline Neural Networks.

Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser

SIAM J. Math. Data Sci., June, 2023

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods.

Pakshal Bohra, Pol del Aguila Pla, Jean-François Giovannelli, Michael Unser

IEEE Trans. Signal Process., 2023

A Neural-Network-Based Convex Regularizer for Inverse Problems.

Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser

IEEE Trans. Computational Imaging, 2023

2022

Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors.

Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser

IEEE Trans. Computational Imaging, 2022

A Neural-Network-Based Convex Regularizer for Image Reconstruction.

Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser

CoRR, 2022

Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions.

Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser

CoRR, 2022

2020

Continuous-Domain Signal Reconstruction Using $L_{p}$-Norm Regularization.

Pakshal Bohra, Michael Unser

IEEE Trans. Signal Process., 2020

Computation of "Best" Interpolants in the Lp Sense.

Pakshal Bohra, Michael Unser

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

Poisson Low-Rank Matrix Recovery Using the Anscombe Transform.

Pakshal Bohra, Ajit Rajwade

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018