Bilevel approaches for learning of variational imaging models

Bilevel approaches for learning of variational imaging models

8 May 2015

Carola-Bibiane Schönlieb

Papers citing "Bilevel approaches for learning of variational imaging models"

19 / 19 papers shown

Title
An incremental algorithm for non-convex AI-enhanced medical image processing Elena Morotti 34 0 0 13 May 2025
Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation Thanh Trung Vu Andreas Kofler Kostas Papafitsoros 35 1 0 23 Feb 2025
Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan Yongheng Sun Fan Wang Jun Shu Haifeng Wang Li Meng C. Lian 30 1 0 13 Aug 2023
Generative models and Bayesian inversion using Laplace approximation M. Marschall G. Wübbeler F. Schmähling Clemens Elster 10 1 0 15 Mar 2022
Bilevel Imaging Learning Problems as Mathematical Programs with Complementarity Constraints: Reformulation and Theory Juan Carlos de los Reyes 9 5 0 05 Oct 2021
Learning the optimal Tikhonov regularizer for inverse problems Giovanni S. Alberti E. De Vito Matti Lassas Luca Ratti Matteo Santacesaria 25 30 0 11 Jun 2021
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks B. Afkham Julianne Chung Matthias Chung 17 42 0 14 Apr 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 50 222 0 27 Jan 2021
Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding Veronica Corona Yehuda Dar Guy B. Williams Carola-Bibiane Schönlieb MedIm 11 0 0 08 Oct 2020
Consistency analysis of bilevel data-driven learning in inverse problems Neil K. Chada C. Schillings Xin T. Tong Simon Weissmann 17 8 0 06 Jul 2020
Bilinear Constraint based ADMM for Mixed Poisson-Gaussian Noise Removal Jie Zhang Y. Duan Yue M. Lu Michael K. Ng Huibin Chang 11 9 0 18 Oct 2019
Parametric Majorization for Data-Driven Energy Minimization Methods Jonas Geiping Michael Moeller 14 4 0 17 Aug 2019
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography Harbir Antil Z. Di R. Khatri 22 49 0 22 Jul 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions M. Mackay Paul Vicol Jonathan Lorraine David Duvenaud Roger C. Grosse 27 164 0 07 Mar 2019
Adversarial Regularizers in Inverse Problems Sebastian Lunz Ozan Oktem Carola-Bibiane Schönlieb GAN MedIm 20 217 0 29 May 2018
Solving ill-posed inverse problems using iterative deep neural networks J. Adler Ozan Oktem 24 615 0 13 Apr 2017
A Variational Bayesian Approach for Image Restoration. Application to Image Deblurring with Poisson-Gaussian Noise Y. Marnissi Yuling Zheng Émilie Chouzenoux J. Pesquet 16 39 0 24 Oct 2016
Exact and Inexact Subsampled Newton Methods for Optimization Raghu Bollapragada R. Byrd J. Nocedal 15 176 0 27 Sep 2016
Hyperparameter optimization with approximate gradient Fabian Pedregosa 17 441 0 07 Feb 2016