Invertible generative models for inverse problems: mitigating representation error and dataset bias

28 May 2019

Papers citing "Invertible generative models for inverse problems: mitigating representation error and dataset bias"

50 / 95 papers shown

Title
Rare event modeling with self-regularized normalizing flows: what can we learn from a single failure? Charles Dawson Van Tran Max Z. Li Chuchu Fan 42 0 0 28 Feb 2025
LoFi: Neural Local Fields for Scalable Image Reconstruction AmirEhsan Khorashadizadeh T. Liaudat Tianlin Liu Jason D. McEwen Ivan Dokmanić SupR 44 1 0 07 Nov 2024
PnP-Flow: Plug-and-Play Image Restoration with Flow Matching Ségolène Martin Anne Gagneux Paul Hagemann Gabriele Steidl 42 9 0 03 Oct 2024
Posterior sampling via Langevin dynamics based on generative priors Vishal Purohit Matthew Repasky Jianfeng Lu Qiang Qiu Yao Xie Xiuyuan Cheng DiffM 28 1 0 02 Oct 2024
The Star Geometry of Critic-Based Regularizer Learning Oscar Leong Eliza O'Reilly Yong Sheng Soh AAML 42 0 0 29 Aug 2024
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang Peiyu Yu Yaxuan Zhu Yingshan Chang Feng Gao Yingnian Wu Oscar Leong 83 7 0 29 May 2024
Efficient Prior Calibration From Indirect Data O. Deniz Akyildiz Mark Girolami Andrew M. Stuart Arnaud Vadeboncoeur 38 1 0 28 May 2024
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems Hossein Askari Fred Roosta Hongfu Sun MedIm DiffM 38 3 0 04 Apr 2024
D-Flow: Differentiating through Flows for Controlled Generation Heli Ben-Hamu Omri Puny Itai Gat Brian Karrer Uriel Singer Y. Lipman 41 25 0 21 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 31 0 0 19 Feb 2024
Robust Stochastically-Descending Unrolled Networks Samar Hadou Navid Naderializadeh Alejandro Ribeiro 59 2 0 25 Dec 2023
Quantum Algorithms for the Pathwise Lasso J. F. Doriguello Debbie Lim Chi Seng Pun Patrick Rebentrost Tushar Vaidya 42 1 0 21 Dec 2023
Variational Bayes image restoration with compressive autoencoders Maud Biquard Marie Chabert Thomas Oberlin 21 1 0 29 Nov 2023
On the Quantification of Image Reconstruction Uncertainty without Training Data Sirui Bi Victor Fung Jiaxin Zhang 26 1 0 16 Nov 2023
Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging M. Carioni Subhadip Mukherjee Hongwei Tan Junqi Tang MedIm 37 3 0 15 Nov 2023
Uncertainty Quantification in Inverse Models in Hydrology Somya Sharma Chatterjee Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber Christopher J. Duffy Vipin Kumar 26 0 0 03 Oct 2023
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing Junren Chen Jonathan Scarlett Michael K. Ng Zhaoqiang Liu FedML 32 6 0 25 Sep 2023
On the Fine-Grained Hardness of Inverting Generative Models Feyza Duman Keles Chinmay Hegde 22 1 0 11 Sep 2023
AmbientFlow: Invertible generative models from incomplete, noisy measurements Varun A. Kelkar Rucha Deshpande Arindam Banerjee M. Anastasio DRL MedIm 41 6 0 09 Sep 2023
Solving multiphysics-based inverse problems with learned surrogates and constraints Ziyi Yin Rafael Orozco M. Louboutin Felix J. Herrmann AI4CE 77 9 0 18 Jul 2023
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models Ruiyang Zhao Xi Peng Varun A. Kelkar M. Anastasio F. Lam GAN MedIm 19 3 0 14 Jun 2023
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models Sriram Ravula Brett Levac A. Jalal Jonathan I. Tamir A. Dimakis DiffM MedIm 21 16 0 05 Jun 2023
BlindHarmony: "Blind" Harmonization for MR Images via Flow model Hwihun Jeong Heejoon Byun Dong un Kang Jongho Lee MedIm 28 6 0 18 May 2023
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior Zongyu Li Jason Hu Xiaojian Xu Liyue Shen Jeffrey A. Fessler DiffM 24 3 0 12 May 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz D. Bhutto Bo Zhu J. Liu Neha Koonjoo H. Li Bruce Rosen M. Rosen UQCV OOD 15 2 0 12 May 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine Bouman William T. Freeman DiffM 87 88 0 23 Apr 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems Ziruo Cai Junqi Tang Subhadip Mukherjee Jinglai Li Carola Bibiane Schönlieb Xiaoqun Zhang AI4CE 36 3 0 17 Apr 2023
Learned multiphysics inversion with differentiable programming and machine learning M. Louboutin Ziyi Yin Rafael Orozco Thomas J. Grady Ali Siahkoohi G. Rizzuti Philipp A. Witte O. Møyner Gerard Gorman Felix J. Herrmann AI4CE 26 10 0 12 Apr 2023
Leveraging joint sparsity in hierarchical Bayesian learning J. Glaubitz Anne Gelb 27 5 0 29 Mar 2023
Deep Joint Source-Channel Coding with Iterative Source Error Correction Changwoo Lee Xiao Hu Hun-Seok Kim 29 6 0 17 Feb 2023
QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models Xiangming Meng Y. Kabashima 45 1 0 02 Feb 2023
Removing Structured Noise with Diffusion Models Tristan S.W. Stevens Hans van Gorp F. C. Meral Junseob Shin Jason Yu Jean-Luc Robert Ruud J. G. van Sloun DiffM 34 0 0 20 Jan 2023
Deep Injective Prior for Inverse Scattering AmirEhsan Khorashadizadeh Vahid Khorashadi-Zadeh Sepehr Eskandari Guy A. E. Vandenbosch Ivan Dokmanić 18 7 0 08 Jan 2023
FunkNN: Neural Interpolation for Functional Generation AmirEhsan Khorashadizadeh Anadi Chaman Valentin Debarnot Ivan Dokmanić 40 8 0 20 Dec 2022
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling Jiaxin Zhang Sirui Bi Victor Fung 35 3 0 02 Dec 2022
Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction Bing Guan Cailian Yang Liu Zhang S. Niu Minghui Zhang Yuhao Wang Weiwen Wu Qiegen Liu DiffM MedIm 38 41 0 25 Nov 2022
Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng Y. Kabashima DiffM 14 52 0 20 Nov 2022
Quantized Compressed Sensing with Score-based Generative Models Xiangming Meng Y. Kabashima DiffM 32 11 0 02 Nov 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 36 5 0 25 Oct 2022
Probabilistic Inverse Modeling: An Application in Hydrology Somya Sharma Rahul Ghosh Arvind Renganathan Xiang Li Snigdhansu Chatterjee John L. Nieber C. Duffy Vipin Kumar AI4CE 30 1 0 12 Oct 2022
Misspecified Phase Retrieval with Generative Priors Zhaoqiang Liu Xinshao Wang Jiulong Liu 43 4 0 11 Oct 2022
Invertible Rescaling Network and Its Extensions Mingqing Xiao Shuxin Zheng Chang-Shu Liu Zhouchen Lin Tie-Yan Liu 29 27 0 09 Oct 2022
Reliable amortized variational inference with physics-based latent distribution correction Ali Siahkoohi G. Rizzuti Rafael Orozco Felix J. Herrmann 36 27 0 24 Jul 2022
Theoretical Perspectives on Deep Learning Methods in Inverse Problems Jonathan Scarlett Reinhard Heckel M. Rodrigues Paul Hand Yonina C. Eldar AI4CE 27 29 0 29 Jun 2022
Equivariant Priors for Compressed Sensing with Unknown Orientation Anna Kuzina Kumar Pratik F. V. Massoli Arash Behboodi 19 2 0 28 Jun 2022
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras Y. Dagan A. Dimakis C. Daskalakis BDL 31 15 0 18 Jun 2022
Non-Iterative Recovery from Nonlinear Observations using Generative Models Jiulong Liu Zhaoqiang Liu 38 11 0 31 May 2022
Optimizing Intermediate Representations of Generative Models for Phase Retrieval Tobias Uelwer S. Konietzny Stefan Harmeling 26 1 0 31 May 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization Fabian Altekrüger Alexander Denker Paul Hagemann J. Hertrich Peter Maass Gabriele Steidl MedIm 21 24 0 24 May 2022
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts Sonia K. Murthy Kyle Lo Daniel King Chandra Bhagavatula Bailey Kuehl Sophie Johnson Jon Borchardt Daniel S. Weld Tom Hope Doug Downey 27 12 0 14 May 2022