Javier Turek
Javier Turek
Sr Research Scientist in Machine Learning at Intel Labs
Verified email at - Homepage
Cited by
Cited by
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
A block-coordinate descent approach for large-scale sparse inverse covariance estimation
E Treister, JS Turek
Advances in neural information processing systems 27, 2014
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
BrainIAK: the brain imaging analysis kit
M Kumar, MJ Anderson, JW Antony, C Baldassano, PP Brooks, MB Cai, ...
Aperture neuro 1 (4), 2021
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
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
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
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
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
Clutter Mitigation in Echocardiography using Sparse Signal Separation
JS Turek, I Yavneh, M Elad
International Journal on Biomedical Imaging, 2015
Multi-timescale representation learning in LSTM Language Models
S Mahto, VA Vo, JS Turek, AG Huth
arXiv preprint arXiv:2009.12727, 2020
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
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
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
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
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
On MAP and MMSE estimators for the co-sparse analysis model
JS Turek, I Yavneh, M Elad
Digital Signal Processing 28, 57-74, 2014
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
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, ..., 2016
Slower is better: revisiting the forgetting mechanism in LSTM for Slower information decay
HYS Chien, JS Turek, N Beckage, VA Vo, CJ Honey, TL Willke
arXiv preprint arXiv:2105.05944, 2021
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