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Jure Zbontar
Jure Zbontar
OpenAI
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Alıntı yapanlar
Alıntı yapanlar
Yıl
Orange: data mining toolbox in Python
J Demšar, T Curk, A Erjavec, Č Gorup, T Hočevar, M Milutinovič, ...
the Journal of machine Learning research 14 (1), 2349-2353, 2013
27552013
Barlow twins: Self-supervised learning via redundancy reduction
J Zbontar, L Jing, I Misra, Y LeCun, S Deny
International conference on machine learning, 12310-12320, 2021
26952021
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
J Žbontar, Y LeCun
The Journal of Machine Learning Research 17 (65), 1-32, 2016
16542016
Computing the stereo matching cost with a convolutional neural network
J Zbontar, Y LeCun
Proceedings of the IEEE conference on computer vision and pattern …, 2015
9822015
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
J Zbontar, F Knoll, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
arXiv preprint arXiv:1811.08839, 2018
9722018
fastMRI: A publicly available raw k-space and DICOM dataset of knee images for accelerated MR image reconstruction using machine learning
F Knoll, J Zbontar, A Sriram, MJ Muckley, M Bruno, A Defazio, M Parente, ...
Radiology: Artificial Intelligence 2 (1), e190007, 2020
4272020
End-to-end variational networks for accelerated MRI reconstruction
A Sriram, J Zbontar, T Murrell, A Defazio, CL Zitnick, N Yakubova, F Knoll, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
3582020
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
F Knoll, T Murrell, A Sriram, N Yakubova, J Zbontar, M Rabbat, A Defazio, ...
Magnetic resonance in medicine 84 (6), 3054-3070, 2020
2402020
Using deep learning to accelerate knee MRI at 3 T: results of an interchangeability study
MP Recht, J Zbontar, DK Sodickson, F Knoll, N Yakubova, A Sriram, ...
American Journal of Roentgenology 215 (6), 1421-1429, 2020
1512020
GrappaNet: Combining parallel imaging with deep learning for multi-coil MRI reconstruction
A Sriram, J Zbontar, T Murrell, CL Zitnick, A Defazio, DK Sodickson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1272020
Improving the speed of MRI with artificial intelligence
PM Johnson, MP Recht, F Knoll
Seminars in musculoskeletal radiology 24 (01), 012-020, 2020
772020
Deep learning reconstruction enables prospectively accelerated clinical knee MRI
PM Johnson, DJ Lin, J Zbontar, CL Zitnick, A Sriram, M Muckley, JS Babb, ...
Radiology 307 (2), e220425, 2023
702023
Implicit rank-minimizing autoencoder
L Jing, J Zbontar
Advances in Neural Information Processing Systems 33, 14736-14746, 2020
562020
Simulating single-coil MRI from the responses of multiple coils
M Tygert, J Zbontar
Communications in Applied Mathematics and Computational Science 15 (2), 115-127, 2020
242020
Fast incremental learning for off-road robot navigation
A Provodin, L Torabi, B Flepp, Y LeCun, M Sergio, LD Jackel, U Muller, ...
arXiv preprint arXiv:1606.08057, 2016
102016
Short answer scoring by stacking
J Zbontar
ASAP Short Answer Scoring Competition System Description. Retrieved July 28 …, 2012
82012
Compressed sensing with a jackknife and a bootstrap
M Tygert, R Ward, J Zbontar
arXiv preprint arXiv:1809.06959, 2018
62018
Compressed sensing with a Jackknife, a bootstrap, and visualization
A Defazio, M Tygert, R Ward, J Zbontar
J Data Sci Stat Vis 2 (4), 2022
42022
An evaluation of machine learning methods for prominence detection in French
J Demsar, T Curk, A Erjavec, C Gorup, T Hocevar, M Milutinovic, ...
J. Mach. Learn. Res 14, 2349-2353, 2013
42013
Team ULjubljana’s Solution to the JRS 2012 Data Mining Competition
J Žbontar, M Zitnik, M Zidar, G Majcen, M Potocnik, B Zupan
Rough Sets and Current Trends in Computing, 471--478, 2012
32012
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