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Patrick Putzky
Patrick Putzky
Verified email at uva.nl
Title
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Cited by
Year
Recurrent Inference Machines for Solving Inverse Problems
P Putzky, M Welling
arXiv preprint arXiv:1706.04008, 2017
1122017
Recurrent Inference Machines for Reconstructing Heterogeneous MRI Data
K Lřnning, P Putzky, JJ Sonke, L Reneman, MWA Caan, M Welling
Medical Image Analysis 53, 64-78, 2019
712019
Invert to learn to invert
P Putzky, M Welling
Advances in neural information processing systems 32, 2019
712019
Data-driven reconstruction of gravitationally lensed galaxies using recurrent inference machines
WR Morningstar, LP Levasseur, YD Hezaveh, R Blandford, P Marshall, ...
The Astrophysical Journal 883 (1), 14, 2019
662019
i-RIM applied to the fastMRI challenge
P Putzky, D Karkalousos, J Teuwen, N Miriakov, B Bakker, M Caan, ...
arXiv preprint arXiv:1910.08952, 2019
242019
Analyzing interferometric observations of strong gravitational lenses with recurrent and convolutional neural networks
WR Morningstar, YD Hezaveh, LP Levasseur, RD Blandford, PJ Marshall, ...
arXiv preprint arXiv:1808.00011, 2018
182018
Recurrent inference machines for accelerated MRI reconstruction
K Lřnning, P Putzky, MWA Caan, M Welling
Medical Imaging with Deep Learning, 2022
172022
Evaluation of the robustness of learned MR image reconstruction to systematic deviations between training and test data for the models from the fastMRI challenge
PM Johnson, G Jeong, K Hammernik, J Schlemper, C Qin, J Duan, ...
Machine Learning for Medical Image Reconstruction: 4th International …, 2021
92021
A Bayesian model for identifying hierarchically organised states in neural population activity
P Putzky, F Franzen, G Bassetto, JH Macke
Advances in neural information processing systems 27, 2014
82014
Reconstructing missing seismic data using Deep Learning
D Kuijpers, I Vasconcelos, P Putzky
arXiv preprint arXiv:2101.09554, 2021
52021
Amortized inference in inverse problems
P Putzky
University of Amsterdam, 2023
2023
Reconstructing Missing Seismic Data through Deep Learning with Recurrent Inference Machines
D Kuijpers, I Vasconcelos, P Putzky
EAGE 2020 Annual Conference & Exhibition Online 2020 (1), 1-5, 2020
2020
Towards highly-sparse, autonomous imaging systems: high-resolution wavefield imaging for frontier exploration
I Vasconcelos, J Ruan, D Kuijpers, M Ravasi, P Putzky
EGU General Assembly Conference Abstracts, 18782, 2020
2020
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