Jure Zbontar
Jure Zbontar
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TitleCited byYear
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
7132013
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
6682016
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
4552015
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
572018
Short answer scoring by stacking
J Zbontar
ASAP Short Answer Scoring Competition System Description. Retrieved July 28 …, 2012
52012
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
42016
Compressed sensing with a jackknife and a bootstrap
M Tygert, R Ward, J Zbontar
arXiv preprint arXiv:1809.06959, 2018
32018
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
Simulating single-coil MRI from the responses of multiple coils
M Tygert, J Zbontar
arXiv preprint arXiv:1811.08026, 2018
22018
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction
A Sriram, J Zbontar, T Murrell, CL Zitnick, A Defazio, DK Sodickson
arXiv preprint arXiv:1910.12325, 2019
12019
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
2020
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, ...
arXiv preprint arXiv:2001.02518, 2020
2020
Učenje globokih nevronskih mrež za problem stereo vida
J Žbontar
Univerza v Ljubljani, 2016
2016
Training Deep Neural Networks for Stereo Vision: A Dissertation
J Žbontar
J. Žbontar, 2016
2016
Povezovalnik in dinamični nalagalnik za procesor HIP
J Žbontar
Univerza v Ljubljani, 2008
2008
FAST INCREMENTAL LEARNING FOR AUTONOMOUS GROUND NAVIGATION
A Provodin, L Torabi, U Muller, B Flepp, M Sergio, J Žbontar, Y LeCun, ...
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