Jure Zbontar - RankMe

19 papers A* 4Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Compressed sensing with a jackknife and a bootstrap. J. Data Sci. Stat. Vis. Aaron Defazio, Mark Tygert, Rachel A. Ward, Jure Zbontar
2021	A*	`conf`	Barlow Twins: Self-Supervised Learning via Redundancy Reduction. ICML Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny
2021	J	`jnl`	Barlow Twins: Self-Supervised Learning via Redundancy Reduction. CoRR Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, Stéphane Deny
2020	J	`jnl`	Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge. CoRR 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
2020	—	`conf`	End-to-End Variational Networks for Accelerated MRI Reconstruction. MICCAI (2) Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson
2020	J	`jnl`	End-to-End Variational Networks for Accelerated MRI Reconstruction. CoRR Anuroop Sriram, Jure Zbontar, Tullie Murrell, Aaron Defazio, C. Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, Patricia M. Johnson
2020	A*	`conf`	GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction. CVPR Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
2020	A*	`conf`	Implicit Rank-Minimizing Autoencoder. NeurIPS Li Jing, Jure Zbontar, Yann LeCun
2020	J	`jnl`	Implicit Rank-Minimizing Autoencoder. CoRR Li Jing, Jure Zbontar, Yann LeCun
2019	J	`jnl`	GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction. CoRR Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio, Daniel K. Sodickson
2018	J	`jnl`	Simulating single-coil MRI from the responses of multiple coils. CoRR Mark Tygert, Jure Zbontar
2018	J	`jnl`	fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. CoRR 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
2016	J	`jnl`	Fast Incremental Learning for Off-Road Robot Navigation. CoRR Artem Provodin, Liila Torabi, Beat Flepp, Yann LeCun, Michael Sergio, Lawrence D. Jackel, Urs Muller, Jure Zbontar
2016	J	`jnl`	Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches. J. Mach. Learn. Res. Jure Zbontar, Yann LeCun
2015	A*	`conf`	Computing the stereo matching cost with a convolutional neural network. CVPR Jure Zbontar, Yann LeCun
2015	J	`jnl`	Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches. CoRR Jure Zbontar, Yann LeCun
2014	J	`jnl`	Computing the Stereo Matching Cost with a Convolutional Neural Network. CoRR Jure Zbontar, Yann LeCun
2013	J	`jnl`	Orange: data mining toolbox in python. J. Mach. Learn. Res. 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
2012	—	`conf`	Team ULjubljana's Solution to the JRS 2012 Data Mining Competition. RSCTC Jure Zbontar, Marinka Zitnik, Miha Zidar, Gregor Majcen, Matic Potocnik, Blaz Zupan