متابعة
Jure Zbontar
Jure Zbontar
OpenAI
بريد إلكتروني تم التحقق منه على openai.com
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
27562013
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
16472016
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
9852015
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
9622018
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
4312020
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
3592020
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
762020
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
712023
Implicit rank-minimizing autoencoder‏
L Jing, J Zbontar‏
Advances in Neural Information Processing Systems 33, 14736-14746, 2020‏
582020
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
222020
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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مقالات 1–20