Jure Zbontar

According to our database, Jure Zbontar authored at least 13 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Compressed sensing with a jackknife and a bootstrap.

Aaron Defazio, Mark Tygert, Rachel A. Ward, Jure Zbontar

J. Data Sci. Stat. Vis., 2022

2021

Barlow Twins: Self-Supervised Learning via Redundancy Reduction.

Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge.

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

CoRR, 2020

Implicit Rank-Minimizing Autoencoder.

Li Jing, Jure Zbontar, Yann LeCun

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

End-to-End Variational Networks for Accelerated MRI Reconstruction.

Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction.

Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

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

CoRR, 2018

Simulating single-coil MRI from the responses of multiple coils.

Mark Tygert, Jure Zbontar

CoRR, 2018

2016

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches.

Jure Zbontar, Yann LeCun

J. Mach. Learn. Res., 2016

Fast Incremental Learning for Off-Road Robot Navigation.

Artem Provodin, Liila Torabi, Beat Flepp, Yann LeCun, Michael Sergio, Lawrence D. Jackel, Urs Muller, Jure Zbontar

CoRR, 2016

2015

Computing the stereo matching cost with a convolutional neural network.

Jure Zbontar, Yann LeCun

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013

Orange: data mining toolbox in python.

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

J. Mach. Learn. Res., 2013

2012

Team ULjubljana's Solution to the JRS 2012 Data Mining Competition.

Jure Zbontar, Marinka Zitnik, Miha Zidar, Gregor Majcen, Matic Potocnik, Blaz Zupan

Proceedings of the Rough Sets and Current Trends in Computing, 2012