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Javier Turek
Javier Turek
Research Scientist in Machine Learning at Intel Labs
Verified email at intel.com - Homepage
Title
Cited by
Cited by
Year
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
392011
A block-coordinate descent approach for large-scale sparse inverse covariance estimation
E Treister, JS Turek
Advances in neural information processing systems 27, 2014
372014
A zero-positive learning approach for diagnosing software performance regressions
AM M Alam, J Gottschlich, N Tatbul, JS Turek, T Mattson
Advances in Neural Information Processing Systems, 2019
34*2019
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
332019
Clutter Mitigation in Echocardiography using Sparse Signal Separation
JS Turek, I Yavneh, M Elad
International Journal on Biomedical Imaging, 2015
272015
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
262016
BrainIAK: The brain imaging analysis kit
M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ...
Aperture neuro 1 (4), 2021
172021
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
162017
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
162016
On MAP and MMSE estimators for the co-sparse analysis model
JS Turek, I Yavneh, M Elad
Digital Signal Processing 28, 57-74, 2014
162014
Low-dimensional structure in the space of language representations is reflected in brain responses
R Antonello, JS Turek, V Vo, A Huth
Advances in Neural Information Processing Systems 34, 8332-8344, 2021
122021
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
122019
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
122018
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
122016
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
112016
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
112008
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
10*2020
Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech
S Jain, VA Vo, S Mahto, A LeBel, JS Turek, AG Huth
NeurIPS 2020, 2020
92020
Learning fitness functions for machine programming
S Mandal, T Anderson, J Turek, J Gottschlich, S Zhou, A Muzahid
Proceedings of Machine Learning and Systems 3, 139-155, 2021
72021
Quaternion K-SVD for color image denoising
A Carmeli, J Turek
Technion-Israel Institute of Technology, Tech. Rep, 2013
72013
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Articles 1–20