Jure Zbontar

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 14

Top Topics

Convolutional Neural Network

Stereo Matching

Top Venues

J. Mach. Learn. Res.

Publications

Aaron Defazio, Mark Tygert, Rachel Ward, Jure Zbontar
Compressed sensing with a jackknife and a bootstrap. J. Data Sci. Stat. Vis. 2 (4) (2022)
Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny
Barlow Twins: Self-Supervised Learning via Redundancy Reduction. CoRR (2021)
Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny
Barlow Twins: Self-Supervised Learning via Redundancy Reduction. ICML (2021)
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 (2020)
Li Jing, Jure Zbontar, Yann LeCun
Implicit Rank-Minimizing Autoencoder. CoRR (2020)
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)
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)
Li Jing, Jure Zbontar, Yann LeCun
Implicit Rank-Minimizing Autoencoder. NeurIPS (2020)
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 (2020)
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 (2019)
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 (2018)
Mark Tygert, Jure Zbontar
Simulating single-coil MRI from the responses of multiple coils. CoRR (2018)
Jure Zbontar, Yann LeCun
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches. J. Mach. Learn. Res. 17 (2016)
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 (2016)
Jure Zbontar, Yann LeCun
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches. CoRR (2015)
Jure Zbontar, Yann LeCun
Computing the stereo matching cost with a convolutional neural network. CVPR (2015)
Jure Zbontar, Yann LeCun
Computing the Stereo Matching Cost with a Convolutional Neural Network. CoRR (2014)
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) (2013)
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)