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Journal Articles
- 2022
[j3]Aaron Defazio, Mark Tygert, Rachel A. Ward, Jure Zbontar:
Compressed sensing with a jackknife and a bootstrap. J. Data Sci. Stat. Vis. 2(4) (2022)- 2016
- [j2]Jure Zbontar, Yann LeCun:
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches. J. Mach. Learn. Res. 17: 65:1-65:32 (2016) - 2013
- [j1]Janez Demsar, Tomaz Curk, Ales Erjavec, Crtomir Gorup, Tomaz Hocevar, Mitar Milutinovic, Martin Mozina, Matija Polajnar, Marko Toplak, Anze Staric, Miha Stajdohar, Lan Umek, Lan Zagar, Jure Zbontar, Marinka Zitnik, Blaz Zupan:
Orange: data mining toolbox in python. J. Mach. Learn. Res. 14(1): 2349-2353 (2013)
Conference and Workshop Papers
- 2021
- [c6]Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny:
Barlow Twins: Self-Supervised Learning via Redundancy Reduction. ICML 2021: 12310-12320 - 2020
- [c5]Anuroop Sriram
, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson:
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. CVPR 2020: 14303-14310 - [c4]Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson:
End-to-End Variational Networks for Accelerated MRI Reconstruction. MICCAI (2) 2020: 64-73 - [c3]Li Jing, Jure Zbontar, Yann LeCun:
Implicit Rank-Minimizing Autoencoder. NeurIPS 2020 - 2015
- [c2]Jure Zbontar, Yann LeCun:
Computing the stereo matching cost with a convolutional neural network. CVPR 2015: 1592-1599 - 2012
- [c1]Jure Zbontar, Marinka Zitnik, Miha Zidar, Gregor Majcen, Matic Potocnik, Blaz Zupan:
Team ULjubljana's Solution to the JRS 2012 Data Mining Competition. RSCTC 2012: 471-478
Informal and Other Publications
- 2021
- [i10]Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny:
Barlow Twins: Self-Supervised Learning via Redundancy Reduction. CoRR abs/2103.03230 (2021) - 2020
- [i9]Florian Knoll, Tullie Murrell, Anuroop Sriram, Nafissa Yakubova, Jure Zbontar, Michael G. Rabbat, Aaron Defazio, Matthew J. Muckley, Daniel K. Sodickson, C. Lawrence Zitnick, Michael P. Recht:
Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. CoRR abs/2001.02518 (2020) - [i8]Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson:
End-to-End Variational Networks for Accelerated MRI Reconstruction. CoRR abs/2004.06688 (2020) - [i7]Li Jing, Jure Zbontar, Yann LeCun:
Implicit Rank-Minimizing Autoencoder. CoRR abs/2010.00679 (2020) - 2019
- [i6]Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson:
GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction. CoRR abs/1910.12325 (2019) - 2018
- [i5]Mark Tygert, Jure Zbontar:
Simulating single-coil MRI from the responses of multiple coils. CoRR abs/1811.08026 (2018) - [i4]Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael G. Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui:
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR abs/1811.08839 (2018) - 2016
- [i3]Artem Provodin, Liila Torabi, Beat Flepp, Yann LeCun, Michael Sergio, Lawrence D. Jackel, Urs Muller, Jure Zbontar:
Fast Incremental Learning for Off-Road Robot Navigation. CoRR abs/1606.08057 (2016) - 2015
- [i2]Jure Zbontar, Yann LeCun:
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches. CoRR abs/1510.05970 (2015) - 2014
- [i1]Jure Zbontar, Yann LeCun:
Computing the Stereo Matching Cost with a Convolutional Neural Network. CoRR abs/1409.4326 (2014)
Coauthor Index
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