Javier Turek

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	All	Since 2016
Citations	262	203
h-index	11	9
i10-index	12	9

200820092010201120122013201420152016201720182019202020211 4 6 4 3 4 12 19 13 24 36 46 71 11

Co-authors

Theodore WillkeIntel LabsVerified email at intel.com
Irad YavnehProfessor of Computer Science, TechnionVerified email at cs.technion.ac.il
Michael EladProfessor of Computer Science, Technion, IsraelVerified email at cs.technion.ac.il
Justin GottschlichPrincipal AI Scientist & Director of Machine Programming Research, Intel LabsVerified email at intel.com
Eran TreisterComputer Science Dept at Ben-Gurion UniversityVerified email at cs.bgu.ac.il
Po-Hsuan Cameron ChenGoogle HealthVerified email at google.com
Peter J. RamadgePrinceton UniversityVerified email at princeton.edu
Ignacio AlvarezIntel CorporationVerified email at intel.com
Luis RemisIntel LabsVerified email at intel.com
Janice ChenAssistant Professor, Johns Hopkins UniversityVerified email at jhu.edu
Hejia ZhangPrinceton UniversityVerified email at princeton.edu
Uri HassonProfessor of Psychology and NeuroscienceVerified email at princeton.edu
Mihai CapotăIntel LabsVerified email at intel.com
Alexander HuthAssistant Professor CS & Neuroscience UT AustinVerified email at cs.utexas.edu
Abdullah MuzahidProfessor of Computer Science and Engineering, Texas A&M UniversityVerified email at cse.tamu.edu
Michael (Miki) LustigAssociate Professor of Electrical Engineering, UC BerkeleyVerified email at eecs.berkeley.edu
Shreyas VasanawalaProfessor of Radiology, Stanford UniversityVerified email at stanford.edu
Jonathan I. TamirAssistant Professor of Electrical and Computer Engineering, The University of Texas at AustinVerified email at utexas.edu
Marcus AlleySenior Research Scientist, Stanford UniversityVerified email at stanford.edu
Lindsey KuperUniversity of California, Santa CruzVerified email at ucsc.edu

Javier Turek

Research Scientist in Machine Learning at Intel Labs

Verified email at intel.com - Homepage

Machine Learning Recurrent Neural Networks Transformers Unsupervised Learning


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On MMSE and MAP denoising under sparse representation modeling over a unitary dictionary JS Turek, I Yavneh, M Elad IEEE Transactions on Signal Processing 59 (8), 3526-3535, 2011	37	2011
A block-coordinate descent approach for large-scale sparse inverse covariance estimation E Treister, JS Turek Advances in neural information processing systems, 927-935, 2014	33	2014
A convolutional autoencoder for multi-subject fMRI data aggregation PH Chen, X Zhu, H Zhang, JS Turek, J Chen, TL Willke, U Hasson, ... arXiv preprint arXiv:1608.04846, 2016	22	2016
Clutter Mitigation in Echocardiography using Sparse Signal Separation JS Turek, I Yavneh, M Elad International Journal on Biomedical Imaging, 2015	21	2015
On MAP and MMSE estimators for the co-sparse analysis model JS Turek, I Yavneh, M Elad Digital Signal Processing 28, 57-74, 2014	16	2014
Autonomous vehicle advanced sensing and response B Lakshamanan, LL Hurd, BJ Ashbaugh, E Ould-Ahmed-Vall, L Ma, J Jin, ... US Patent 10,332,320, 2019	14	2019
Enabling factor analysis on thousand-subject neuroimaging datasets MJ Anderson, M Capota, JS Turek, X Zhu, TL Willke, Y Wang, PH Chen, ... 2016 IEEE International Conference on Big Data (Big Data), 1151-1160, 2016	14	2016
AutoPerf: A Generalized Zero-Positive Learning System to Detect Software Performance Anomalies J Gottschlich, A Muzahid arXiv preprint arXiv:1709.07536, 2017	13*	2017
A semi-supervised method for multi-subject FMRI functional alignment JS Turek, TL Willke, PH Chen, PJ Ramadge Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International …, 2017	13	2017
A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis H Zhang, PH Chen, J Chen, X Zhu, JS Turek, TL Willke, U Hasson, ... https://arxiv.org/abs/1609.09432, 2016	11	2016
Trace-based performance analysis on Cell BE M Biberstein, U Shvadron, J Turek, B Mendelson, MS Chang ISPASS 2008-IEEE International Symposium on Performance Analysis of Systems …, 2008	11	2008
A MULTILEVEL FRAMEWORK FOR SPARSE OPTIMIZATION WITH APPLICATION TO INVERSE COVARIANCE ESTIMATION AND LOGISTIC REGRESSION E TREISTER, JS TUREK, I YAVNEH SIAM Scientific Computing 38 (5), S566–S592, 2016	10	2016
Targeted rapid knee MRI exam using T₂ shuffling JI Tamir, V Taviani, MT Alley, BC Perkins, L Hart, K O'Brien, F Wishah, ... Journal of Magnetic Resonance Imaging 49 (7), e195-e204, 2019	8	2019
Capturing shared and individual information in fmri data JS Turek, CT Ellis, LJ Skalaban, NB Turk-Browne, TL Willke 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018	8	2018
Quaternion K-SVD for color image denoising A Carmeli, J Turek Technion-Israel Institute of Technology, Tech. Rep, 2013	6	2013
FUSION OF ULTRASOUND HARMONIC IMAGING WITH CLUTTER REMOVAL USING SPARSE SIGNAL SEPARATION JS Turek, J Sulam, M Elad, I Yavneh	5	2015
Sparse signal separation with an off-line learned dictionary for clutter reduction in echocardiography JS Turek, M Elad, I Yavneh 2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel …, 2014	5	2014
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network JS Turek, S Jain, V Vo, M Capota, AG Huth, TL Willke International Conference in Machine Learning (ICML), 2020	4*	2020
BrainIAK: The brain imaging analysis kit M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ...	2	2020
Methods and apparatus to automatically generate code for graphical user interfaces JS Turek, JF Leon, LCM Remis, DIG Aguirre, IJ Alvarez, J Gottschlich US Patent App. 16/455,216, 2019	2	2019

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