v1v2 (latest)

Active Diffusion Subsampling

20 June 2024

Oisin Nolan

Tristan S. W. Stevens

Papers citing "Active Diffusion Subsampling"

29 / 29 papers shown

Title
High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models Tristan S. W. Stevens Oisin Nolan Oudom Somphone Jean-Luc Robert Ruud J. G. van Sloun 27 0 0 28 May 2025
Active inference and deep generative modeling for cognitive ultrasound Ruud JG van Sloun MedIm 62 3 0 17 Oct 2024
A Survey on Diffusion Models for Inverse Problems Giannis Daras Hyungjin Chung Chieh-Hsin Lai Yuki Mitsufuji Jong Chul Ye P. Milanfar Alexandros G. Dimakis M. Delbracio MedIm 113 64 0 30 Sep 2024
Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning P. Milanfar M. Delbracio AI4CE 114 11 0 10 Sep 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling Noam Elata T. Michaeli Michael Elad DiffM MedIm 49 9 0 11 Jul 2024
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion Litu Rout Yujia Chen Abhishek Kumar Constantine Caramanis Sanjay Shakkottai Wen-Sheng Chu 111 39 0 01 Dec 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models Litu Rout Negin Raoof Giannis Daras Constantine Caramanis A. Dimakis Sanjay Shakkottai DiffM 102 108 0 02 Jul 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 136 98 0 23 Apr 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 86 87 0 28 Feb 2023
Post-training Quantization on Diffusion Models Yuzhang Shang Zhihang Yuan Bin Xie Bingzhe Wu Yan Yan DiffM MQ 125 182 0 28 Nov 2022
Diffusion Posterior Sampling for General Noisy Inverse Problems Hyungjin Chung Jeongsol Kim Michael T. McCann M. Klasky J. C. Ye DiffM 111 862 0 29 Sep 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 74 82 0 13 Jun 2022
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning Tristan S. W. Stevens Nishith Chennakeshava F. D. Bruijn M. Pekar Ruud J. G. van Sloun 33 4 0 24 Jan 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 496 15,768 0 20 Dec 2021
Score-based diffusion models for accelerated MRI Hyungjin Chung Jong Chul Ye DiffM MedIm 107 426 0 08 Oct 2021
Entropy, Information, and the Updating of Probabilities A. Caticha 28 27 0 09 Jul 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 268 7,958 0 11 May 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 353 6,586 0 26 Nov 2020
Experimental design for MRI by greedy policy search Tim Bakker H. V. Hoof Max Welling 47 59 0 30 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 292 7,492 0 06 Oct 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 718 18,364 0 19 Jun 2020
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 75 848 0 21 Nov 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 384 11,920 0 11 Jan 2018
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 151 2,151 0 14 Nov 2017
Learning-based Compressive Subsampling Luca Baldassarre Yen-Huan Li Jonathan Scarlett Baran Gözcü Ilija Bogunovic Volkan Cevher 87 73 0 21 Oct 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,429 0 28 Nov 2014
Info-Greedy sequential adaptive compressed sensing Gábor Braun Sebastian Pokutta Yao Xie 93 34 0 02 Jul 2014
Bayesian Active Learning for Classification and Preference Learning N. Houlsby Ferenc Huszár Zoubin Ghahramani M. Lengyel 125 915 0 24 Dec 2011
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization Daniel Golovin Andreas Krause 165 603 0 21 Mar 2010