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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 / 212 papers shown

Title
RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging Heng Li Zhaopeng Cui Shuaicheng Liu Ping Tan 72 15 0 14 Dec 2022
Application of machine learning regression models to inverse eigenvalue problems Nikolaos Pallikarakis Andreas Ntargaras 19 9 0 08 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 52 0 0 30 Nov 2022
Unsupervised denoising for sparse multi-spectral computed tomography S. Inkinen Mikael A. K. Brix M. Nieminen Simon Arridge A. Hauptmann 23 2 0 02 Nov 2022
Solving Coupled Differential Equation Groups Using PINO-CDE Wenhao Ding Qing He Hanghang Tong Qingjing Wang Ping Wang OOD AI4CE 52 4 0 01 Oct 2022
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach Yuri S. Fonseca Yuri F. Saporito 68 4 0 29 Sep 2022
Semi-Blind Source Separation with Learned Constraints R. C. Gertosio J. Bobin F. Acero 59 2 0 27 Sep 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 58 17 0 27 Sep 2022
Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems Sebastian Kaltenbach P. Perdikaris P. Koutsourelakis 99 25 0 06 Sep 2022
Progressive Fusion for Multimodal Integration Shiv Shankar Laure Thompson M. Fiterau 115 5 0 01 Sep 2022
Deep Learning for Material Decomposition in Photon-Counting CT Alma Eguizabal Ozan Oktem Mats U. Persson 38 7 0 05 Aug 2022
Deep Preconditioners and their application to seismic wavefield processing M. Ravasi 73 2 0 20 Jul 2022
ICRICS: Iterative Compensation Recovery for Image Compressive Sensing Honggui Li M. Trocan Dimitri Galayko Mohamad Sawan 45 2 0 19 Jul 2022
Neural and spectral operator surrogates: unified construction and expression rate bounds L. Herrmann Christoph Schwab Jakob Zech 97 11 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 59 1 0 09 Jun 2022
The hybrid approach -- Convolutional Neural Networks and Expectation Maximization Algorithm -- for Tomographic Reconstruction of Hyperspectral Images M. J. Ahlebaek M. Peters Wei-Ping Huang Mads T. Frandsen R. Eriksen B. Jørgensen 25 8 0 31 May 2022
PnP-ReG: Learned Regularizing Gradient for Plug-and-Play Gradient Descent Rita Fermanian Mikael Le Pendu C. Guillemot 73 7 0 29 Apr 2022
On Learning the Invisible in Photoacoustic Tomography with Flat Directionally Sensitive Detector Bolin Pan M. Betcke 47 2 0 21 Apr 2022
A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements Huaiqian You Quinn Zhang Colton J. Ross Chung-Hao Lee M. Hsu Yue Yu AI4CE 98 21 0 01 Apr 2022
The Mathematics of Artificial Intelligence Gitta Kutyniok 48 0 0 16 Mar 2022
Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling Huaiqian You Quinn Zhang Colton J. Ross Chung-Hao Lee Yue Yu AI4CE 95 107 0 15 Mar 2022
IAE-Net: Integral Autoencoders for Discretization-Invariant Learning Yong Zheng Ong Zuowei Shen Haizhao Yang 87 16 0 10 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 49 1 0 04 Mar 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 97 25 0 28 Feb 2022
Training Adaptive Reconstruction Networks for Blind Inverse Problems Alban Gossard P. Weiss MedIm 50 6 0 23 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 64 21 0 15 Feb 2022
Sinogram Enhancement with Generative Adversarial Networks using Shape Priors Emilien Valat K. Farrahi T. Blumensath GAN MedIm 39 1 0 01 Feb 2022
Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network Huaiqian You Yue Yu M. DÉlia T. Gao Stewart Silling 97 74 0 06 Jan 2022
Learning to Fit Morphable Models Vasileios Choutas Federica Bogo Jingjing Shen Julien P. C. Valentin 3DH 76 18 0 29 Nov 2021
A research framework for writing differentiable PDE discretizations in JAX A. Stanziola Simon Arridge B. Cox B. Treeby 54 8 0 09 Nov 2021
Survey of Deep Learning Methods for Inverse Problems S. Kamyab Zihreh Azimifar Rasool Sabzi Paul Fieguth 50 3 0 07 Nov 2021
Conditional Variational Autoencoder for Learned Image Reconstruction Chen Zhang Riccardo Barbano Bangti Jin DRL 34 19 0 22 Oct 2021
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 198 220 0 28 Sep 2021
Arbitrary-Depth Universal Approximation Theorems for Operator Neural Networks Annan Yu Chloe Becquey Diana Halikias Matthew Esmaili Mallory Alex Townsend 115 10 0 23 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 71 4 0 31 Aug 2021
Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces George Stepaniants 84 19 0 26 Aug 2021
An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction Mona Zehni Zhizhen Zhao GAN 26 0 0 23 Aug 2021
Regularizing Instabilities in Image Reconstruction Arising from Learned Denoisers Abinash Nayak 44 0 0 21 Aug 2021
Fourier Neural Operator Networks: A Fast and General Solver for the Photoacoustic Wave Equation Steven Guan Ko-Tsung Hsu P. Chitnis 64 28 0 20 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 168 453 0 19 Aug 2021
Inverse Aerodynamic Design of Gas Turbine Blades using Probabilistic Machine Learning Sayan Ghosh G. A. Padmanabha Cheng Peng Steven Atkinson Valeria Andreoli Piyush Pandita T. Vandeputte N. Zabaras Liping Wang AI4CE 59 13 0 17 Aug 2021
A physics-informed variational DeepONet for predicting the crack path in brittle materials S. Goswami Minglang Yin Yue Yu G. Karniadakis AI4CE 72 198 0 16 Aug 2021
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision Ben Usman Andrea Tagliasacchi Kate Saenko Avneesh Sud 3DH 75 23 0 10 Aug 2021
Inverse Problem of Nonlinear Schrödinger Equation as Learning of Convolutional Neural Network Yiran Wang Zhen Li 28 2 0 19 Jul 2021
Deep Learning based Novel View Synthesis Amit More S. Chaudhuri 3DV 107 3 0 14 Jul 2021
Unsupervised Knowledge-Transfer for Learned Image Reconstruction Riccardo Barbano Ž. Kereta A. Hauptmann Simon Arridge Bangti Jin 59 11 0 06 Jul 2021
Fixed points of nonnegative neural networks Tomasz Piotrowski Renato L. G. Cavalcante Mateusz Gabor 76 7 0 30 Jun 2021
Learning the optimal Tikhonov regularizer for inverse problems Giovanni S. Alberti Ernesto De Vito Matti Lassas Luca Ratti Matteo Santacesaria 69 30 0 11 Jun 2021
Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control Michael Przystupa Masood Dehghan Martin Jägersand A. R. Mahmood DRL 12 6 0 10 Jun 2021
End-to-end reconstruction meets data-driven regularization for inverse problems Subhadip Mukherjee M. Carioni Ozan Oktem Carola-Bibiane Schönlieb 60 40 0 07 Jun 2021