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2003.08089
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Solving Inverse Problems with a Flow-based Noise Model
International Conference on Machine Learning (ICML), 2020
18 March 2020
Jay Whang
Qi Lei
A. Dimakis
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Papers citing
"Solving Inverse Problems with a Flow-based Noise Model"
30 / 30 papers shown
Revisiting Mixout: An Overlooked Path to Robust Finetuning
Masih Aminbeidokhti
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Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach
Haoxuan Chen
Yinuo Ren
Martin Renqiang Min
Lexing Ying
Zachary Izzo
DiffM
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529
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0
04 Jun 2025
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Tianci Liu
Tong Yang
Quan Zhang
Qi Lei
WIGM
AAML
431
0
0
03 Jun 2025
Posterior sampling via Langevin dynamics based on generative priors
Vishal Purohit
Matthew Repasky
Jianfeng Lu
Qiang Qiu
Yao Xie
Xiuyuan Cheng
DiffM
266
6
0
02 Oct 2024
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems
Hossein Askari
Fred Roosta
Hongfu Sun
MedIm
DiffM
294
5
0
04 Apr 2024
Decoupled Data Consistency with Diffusion Purification for Image Restoration
Xiang Li
Soo Min Kwon
Ismail Alkhouri
S. Ravishankar
Qing Qu
DiffM
538
21
0
10 Mar 2024
D-Flow: Differentiating through Flows for Controlled Generation
Heli Ben-Hamu
Omri Puny
Itai Gat
Brian Karrer
Uriel Singer
Y. Lipman
242
81
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
289
1
0
19 Feb 2024
Robust Stochastically-Descending Unrolled Networks
Samar Hadou
Navid Naderializadeh
Alejandro Ribeiro
408
11
0
25 Dec 2023
On the Quantification of Image Reconstruction Uncertainty without Training Data
Sirui Bi
Victor Fung
Jiaxin Zhang
239
6
0
16 Nov 2023
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler
Computational Statistics & Data Analysis (CSDA), 2023
Jiayu Qian
Yuanyuan Liu
Jingya Yang
Qingping Zhou
207
1
0
24 Oct 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
336
0
0
03 Oct 2023
Prompt-tuning latent diffusion models for inverse problems
International Conference on Machine Learning (ICML), 2023
Hyungjin Chung
Jong Chul Ye
P. Milanfar
M. Delbracio
DiffM
324
68
0
02 Oct 2023
Training-free Linear Image Inverses via Flows
Ashwini Pokle
Matthew Muckley
Ricky T. Q. Chen
Brian Karrer
387
56
0
25 Sep 2023
BlindHarmony: "Blind" Harmonization for MR Images via Flow model
IEEE International Conference on Computer Vision (ICCV), 2023
Hwihun Jeong
Heejoon Byun
Dong un Kang
Jongho Lee
MedIm
270
9
0
18 May 2023
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems
SIAM Journal of Imaging Sciences (JSIS), 2023
Ziruo Cai
Junqi Tang
Subhadip Mukherjee
Jinglai Li
Carola Bibiane Schönlieb
Xiaoqun Zhang
AI4CE
259
8
0
17 Apr 2023
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration
International Conference on Machine Learning (ICML), 2023
Naoki Murata
Koichi Saito
Chieh-Hsin Lai
Yuhta Takida
Toshimitsu Uesaka
Yuki Mitsufuji
Stefano Ermon
DiffM
306
70
0
30 Jan 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
392
3
0
20 Jan 2023
Deep Injective Prior for Inverse Scattering
IEEE Transactions on Antennas and Propagation (IEEE Trans. Antennas Propag.), 2023
AmirEhsan Khorashadizadeh
Vahid Khorashadi-Zadeh
Sepehr Eskandari
Guy A. E. Vandenbosch
Ivan Dokmanić
290
12
0
08 Jan 2023
FunkNN: Neural Interpolation for Functional Generation
International Conference on Learning Representations (ICLR), 2022
AmirEhsan Khorashadizadeh
Anadi Chaman
Valentin Debarnot
Ivan Dokmanić
300
7
0
20 Dec 2022
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jiaxin Zhang
Sirui Bi
Victor Fung
283
3
0
02 Dec 2022
Optimization for Amortized Inverse Problems
International Conference on Machine Learning (ICML), 2022
Tianci Liu
Tong Yang
Quan Zhang
Qi Lei
338
7
0
25 Oct 2022
Probabilistic Inverse Modeling: An Application in Hydrology
SDM (SDM), 2022
Somya Sharma
Rahul Ghosh
Arvind Renganathan
Xiang Li
Snigdhansu Chatterjee
John L. Nieber
C. Duffy
Vipin Kumar
AI4CE
221
1
0
12 Oct 2022
Equivariant Priors for Compressed Sensing with Unknown Orientation
International Conference on Machine Learning (ICML), 2022
Anna Kuzina
Kumar Pratik
F. V. Massoli
Arash Behboodi
321
3
0
28 Jun 2022
PatchNR: Learning from Very Few Images by Patch Normalizing Flow Regularization
Inverse Problems (IP), 2022
Fabian Altekrüger
Alexander Denker
Paul Hagemann
J. Hertrich
Peter Maass
Gabriele Steidl
MedIm
386
30
0
24 May 2022
Music Source Separation with Generative Flow
IEEE Signal Processing Letters (SPL), 2022
Ge Zhu
Jordan Darefsky
Fei Jiang
A. Selitskiy
Z. Duan
381
13
0
19 Apr 2022
Regularized Training of Intermediate Layers for Generative Models for Inverse Problems
Sean Gunn
Jorio Cocola
Paul Hand
GAN
240
2
0
08 Mar 2022
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models
Dongzhuo Li
MedIm
402
2
0
07 Dec 2021
Generative Flows as a General Purpose Solution for Inverse Problems
J. Chávez
AI4CE
150
1
0
25 Oct 2021
Provable Compressed Sensing with Generative Priors via Langevin Dynamics
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Thanh V. Nguyen
Gauri Jagatap
Chinmay Hegde
GAN
216
17
0
25 Feb 2021
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