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Javier Turek
Javier Turek
Sr Research Scientist in Machine Learning at Intel Labs
Verified email at intel.com - Homepage
Title
Cited by
Cited by
Year
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
762019
A block-coordinate descent approach for large-scale sparse inverse covariance estimation
E Treister, JS Turek
Advances in neural information processing systems 27, 2014
432014
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
402011
BrainIAK: the brain imaging analysis kit
M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ...
Aperture neuro 1 (4), 2021
372021
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
362021
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
352019
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
322016
Clutter Mitigation in Echocardiography using Sparse Signal Separation
JS Turek, I Yavneh, M Elad
International Journal on Biomedical Imaging, 2015
322015
Methods and apparatus for unsupervised multimodal anomaly detection for autonomous vehicles
DIG Aguirre, SG Sharma, JF Leon, JS Turek, MS Elli
US Patent 11,214,268, 2022
302022
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
282020
Multi-timescale representation learning in LSTM Language Models
S Mahto, VA Vo, JS Turek, AG Huth
arXiv preprint arXiv:2009.12727, 2020
262020
System and method for acceleration-based vector field maps
JF Leon, IJ Alvarez, MS Elli, DIG Aguirre, J Turek
US Patent 11,536,574, 2022
232022
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
212019
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 11,061,650, 2021
192021
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
182017
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
172016
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
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
152018
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
152016
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
13*2020
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