Notice détaillée
Titre
Bohra, Pakshal Narendra
Sciper ID
294354
Laboratoires affiliés
LIB
Publications
A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods
Approximation of Lipschitz Functions Using Deep Spline Neural Networks
Computation of "Best" Interpolants in the Lp Sense
Continuous-Domain Signal Reconstruction Using L-p-Norm Regularization
Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"
Dynamic Fourier ptychography with deep spatiotemporal priors
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions
Learning Activation Functions in Deep (Spline) Neural Networks
Learning Lipschitz-Controlled Activation Functions in Neural Networks for Plug-and-Play Image Reconstruction Methods
Opportunities and Challenges for Generative Adversarial Reconstruction by Distribution Matching (CryoGAN)
Voir toutes les publications (11)
Approximation of Lipschitz Functions Using Deep Spline Neural Networks
Computation of "Best" Interpolants in the Lp Sense
Continuous-Domain Signal Reconstruction Using L-p-Norm Regularization
Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"
Dynamic Fourier ptychography with deep spatiotemporal priors
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions
Learning Activation Functions in Deep (Spline) Neural Networks
Learning Lipschitz-Controlled Activation Functions in Neural Networks for Plug-and-Play Image Reconstruction Methods
Opportunities and Challenges for Generative Adversarial Reconstruction by Distribution Matching (CryoGAN)
Voir toutes les publications (11)
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