Solving ill-posed inverse problems using iterative deep neural networks

13 April 2017

Papers citing "Solving ill-posed inverse problems using iterative deep neural networks"

50 / 69 papers shown

Title
Differentiable programming across the PDE and Machine Learning barrier N. Bouziani David A. Ham Ado Farsi PINN AI4CE 37 1 0 09 Sep 2024
Learning Regularization for Graph Inverse Problems Moshe Eliasof Md Shahriar Rahim Siddiqui Carola-Bibiane Schönlieb Eldad Haber GNN 34 0 0 19 Aug 2024
GLIMPSE: Generalized Local Imaging with MLPs AmirEhsan Khorashadizadeh Valentin Debarnot Tianlin Liu Ivan Dokmanić 36 1 0 01 Jan 2024
Efficient Physics-Based Learned Reconstruction Methods for Real-Time 3D Near-Field MIMO Radar Imaging Irfan Manisali Okyanus Oral F. Oktem 27 5 0 28 Dec 2023
GIT-Net: Generalized Integral Transform for Operator Learning Chao Wang Alexandre H. Thiery AI4CE 37 0 0 05 Dec 2023
Inverse Problems with Learned Forward Operators Simon Arridge Andreas Hauptmann Yury Korolev 34 1 0 21 Nov 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation Zizhang Wu Zhuozheng Li Zhi-Gang Fan Yunzhe Wu Xiaoquan Wang Rui Tang Jian Pu 23 1 0 26 Sep 2023
A Direct Sampling-Based Deep Learning Approach for Inverse Medium Scattering Problems Jianfeng Ning Fuqun Han Jun Zou 26 11 0 29 Apr 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction Christoph Angermann Simon Göppel Markus Haltmeier 30 2 0 14 Apr 2023
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography A. Hauptmann Jenni Poimala MedIm 33 5 0 04 Apr 2023
TransPoser: Transformer as an Optimizer for Joint Object Shape and Pose Estimation Yuta Yoshitake Mai Nishimura S. Nobuhara Ko Nishino ViT 36 2 0 23 Mar 2023
An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations Jianqing Zhu Juncai He Qiumei Huang 33 4 0 02 Feb 2023
A Neural Network Warm-Start Approach for the Inverse Acoustic Obstacle Scattering Problem Mo Zhou Jiequn Han M. Rachh C. Borges AI4CE 17 11 0 16 Dec 2022
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging Heng Li Zhaopeng Cui Shuaicheng Liu Ping Tan 21 14 0 14 Dec 2022
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification Daniel J. Getter J. Bessac J. Rudi Yan Feng 24 0 0 30 Nov 2022
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density Marion Savanier Émilie Chouzenoux J. Pesquet C. Riddell 24 16 0 27 Sep 2022
Progressive Fusion for Multimodal Integration Shiv Shankar Laure Thompson M. Fiterau 31 3 0 01 Sep 2022
ICRICS: Iterative Compensation Recovery for Image Compressive Sensing Honggui Li M. Trocan Dimitri Galayko Mohamad Sawan 16 2 0 19 Jul 2022
Neural and spectral operator surrogates: unified construction and expression rate bounds L. Herrmann Christoph Schwab Jakob Zech 51 9 0 11 Jul 2022
Convolutional Dictionary Learning by End-To-End Training of Iterative Neural Networks A. Kofler Christian Wald T. Schaeffter Markus Haltmeier C. Kolbitsch 24 1 0 09 Jun 2022
The Mathematics of Artificial Intelligence Gitta Kutyniok 14 0 0 16 Mar 2022
Convolutional Analysis Operator Learning by End-To-End Training of Iterative Neural Networks A. Kofler Christian Wald T. Schaeffter Markus Haltmeier C. Kolbitsch 21 1 0 04 Mar 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 26 25 0 28 Feb 2022
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems Deep Ray Harisankar Ramaswamy Dhruv V. Patel Assad A. Oberai CML AI4CE 13 21 0 15 Feb 2022
Sinogram Enhancement with Generative Adversarial Networks using Shape Priors Emilien Valat K. Farrahi T. Blumensath GAN MedIm 9 1 0 01 Feb 2022
A research framework for writing differentiable PDE discretizations in JAX A. Stanziola Simon Arridge B. Cox B. Treeby 26 8 0 09 Nov 2021
Survey of Deep Learning Methods for Inverse Problems S. Kamyab Zihreh Azimifar Rasool Sabzi Paul Fieguth 21 3 0 07 Nov 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 22 4 0 31 Aug 2021
Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces George Stepaniants 49 15 0 26 Aug 2021
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers Abinash Nayak 21 0 0 21 Aug 2021
Neural Operator: Learning Maps Between Function Spaces Nikola B. Kovachki Zong-Yi Li Burigede Liu Kamyar Azizzadenesheli K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 52 440 0 19 Aug 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
Choose a Transformer: Fourier or Galerkin Shuhao Cao 42 225 0 31 May 2021
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems William Herzberg D. Rowe A. Hauptmann S. Hamilton GNN MedIm AI4CE 18 33 0 28 Mar 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 40 225 0 23 Mar 2021
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 27 101 0 09 Nov 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 223 2,287 0 18 Oct 2020
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows Ali Siahkoohi G. Rizzuti Philipp A. Witte Felix J. Herrmann AI4CE 19 16 0 15 Jul 2020
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations Dongdong Chen Mike E. Davies Mohammad Golbabaee 16 16 0 27 Jun 2020
Multipole Graph Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 24 375 0 16 Jun 2020
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss David J. Griffiths Jan Boehm Tobias Ritschel 3DPC 19 8 0 06 Apr 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow Zachary Teed Jia Deng MDE 66 2,550 0 26 Mar 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods Daniel Otero Baguer Johannes Leuschner Maximilian Schmidt 29 186 0 10 Mar 2020
Learning light field synthesis with Multi-Plane Images: scene encoding as a recurrent segmentation task Tomás Völker Guillaume Boisson B. Chupeau 3DV 6 5 0 12 Feb 2020
Deep synthesis regularization of inverse problems D. Obmann Johannes Schwab Markus Haltmeier 15 11 0 01 Feb 2020
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning Steven Guan Amir A. Khan S. Sikdar P. Chitnis 19 92 0 11 Nov 2019
Deep Learning for space-variant deconvolution in galaxy surveys F. Sureau Alexis Lechat Jean-Luc Starck 3DPC 17 21 0 01 Nov 2019
Exascale Deep Learning for Scientific Inverse Problems N. Laanait Josh Romero Junqi Yin M. T. Young Sean Treichler V. Starchenko A. Borisevich Alexander Sergeev Michael A. Matheson FedML BDL 29 29 0 24 Sep 2019
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI Yiling Liu Qiegen Liu Minghui Zhang Qingxin Yang Shanshan Wang Dong Liang 33 61 0 24 Sep 2019
Semi-supervised Sequence Modeling for Elastic Impedance Inversion M. Alfarraj G. Al-Regib 17 80 0 19 Aug 2019