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ORCIDPakshal Bohra
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Journal Articles
- 2024
[j6]Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser:
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. J. Mach. Learn. Res. 25: 65:1-65:30 (2024)- 2023
- [j5]Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser:
Approximation of Lipschitz Functions Using Deep Spline Neural Networks. SIAM J. Math. Data Sci. 5(2): 306-322 (2023) - [j4]Alexis Goujon
, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser:
A Neural-Network-Based Convex Regularizer for Inverse Problems. IEEE Trans. Computational Imaging 9: 781-795 (2023) - [j3]Pakshal Bohra, Pol del Aguila Pla, Jean-François Giovannelli, Michael Unser:
A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods. IEEE Trans. Signal Process. 71: 2043-2055 (2023) - 2022
- [j2]Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser:
Bayesian Inversion for Nonlinear Imaging Models Using Deep Generative Priors. IEEE Trans. Computational Imaging 8: 1237-1249 (2022) - 2020
- [j1]Pakshal Bohra, Michael Unser:
Continuous-Domain Signal Reconstruction Using $L_{p}$-Norm Regularization. IEEE Trans. Signal Process. 68: 4543-4554 (2020)
Conference and Workshop Papers
- 2020
- [c2]Pakshal Bohra, Michael Unser:
Computation of "Best" Interpolants in the Lp Sense. ICASSP 2020: 5505-5509 - 2018
- [c1]Pakshal Bohra, Ajit Rajwade:
Poisson Low-Rank Matrix Recovery Using the Anscombe Transform. GlobalSIP 2018: 141-145
Informal and Other Publications
- 2024
- [i5]Rahul Parhi, Pakshal Bohra, Ayoub El Biari, Mehrsa Pourya, Michael Unser:
Random ReLU Neural Networks as Non-Gaussian Processes. CoRR abs/2405.10229 (2024) - 2022
- [i4]Pakshal Bohra, Thanh-An Pham, Jonathan Dong, Michael Unser:
Bayesian Inversion for Nonlinear Imaging Models using Deep Generative Priors. CoRR abs/2203.10078 (2022) - [i3]Sebastian Neumayer, Alexis Goujon, Pakshal Bohra, Michael Unser:
Approximation of Lipschitz Functions using Deep Spline Neural Networks. CoRR abs/2204.06233 (2022) - [i2]Stanislas Ducotterd, Alexis Goujon, Pakshal Bohra, Dimitris Perdios, Sebastian Neumayer, Michael Unser:
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions. CoRR abs/2210.16222 (2022) - [i1]Alexis Goujon, Sebastian Neumayer, Pakshal Bohra, Stanislas Ducotterd, Michael Unser:
A Neural-Network-Based Convex Regularizer for Image Reconstruction. CoRR abs/2211.12461 (2022)
Coauthor Index
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