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Publications

Peer-reviewed publications

M. Alam, J. Gottschlich, N. Tatbul, J. Turek, T. Mattson, A. Muzahid, “A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions”, Advances in Neural Information Processing Systems 33th (NeurIPS’19), Dec. 2019. [Paper]

J. I. Tamir, V. Taviani, M. T. Alley, B. C. Perkins, L. Hart, K. O’Brien, F. Wishah, J. K. Sandberg, M. J. Anderson, J. S. Turek, T. L. Willke, M. Lustig, S. S. Vasanawala, “Targeted rapid knee MRI exam using T2 shuffling”, Jan. 2019 [Paper]

J. S. Turek, A. G. Huth, “Efficient, sparse representation of manifold distance matrices for classical scaling”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), June 2018. [Paper] [Code]

J. S. Turek, C. T. Ellis, L. J. Skalaban, T. L. Willke, N. B. Turk-Browne, “Capturing Shared and Individual Information in fMRI Data”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), April 2018. [Paper] [Code]

J. S. Turek, T. L. Willke, P.-H. Chen, P. J. Ramadge, “A Semi-supervised Method for Multi-Subject fMRI Functional Alignment”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), March 2017. [Paper] [Code]

Anderson, M.J.; Capotă, M.; Turek, J. S.; Zhu, X.; Willke, T. L.; Wang, Y., Chen, P-H; Manning, J. R.; Ramadge, P. J.; Norman, K. A., “Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets”, IEEE International Conference on Big Data (BigData 2016), Dec. 2016. [Paper] [Preprint] [Code]

Treister E.; Turek, J.S.; Yavneh, I., “A Multilevel Framework for Sparse Optimization With Application to Inverse Covariance Estimation and Logistic Regression”, SIAM Journal on Scientific Computing (SISC), 38(5), S566–S592, 2016 [Paper] [Code]

Turek, J.S.; Treister, E., “A Multilevel Acceleration for l1-regularized Logistic Regression”, Optimization Workshop at Advances in Neural Information Processing Systems 28th (OPT at NIPS’15), Dec. 2015.  [Paper]

Turek, J.S.; Sulam, J.; Elad, M.; Yavneh, I.,”Fusion of Ultrasound Harmonic Imaging with Clutter Removal Using Sparse Signal Separation”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), Apr. 2015. [Paper] [Code]

Turek, J.S.; Yavneh, I.; Elad, M., “Clutter Mitigation in Echocardiography using Sparse Signal Separation”, International Journal in Biomedical Imaging, 2015. [Paper] [Code]

Treister, E.; Turek, J.S., “A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation”, Advances in Neural Information Processing Systems 27th (NIPS’14), Dec. 2014. [Paper] [Code] [Old Code]

Treister, E.; Turek, J.S.; Yavneh, I., “A Multilevel Framework for Sparse Inverse Covariance Estimation”, Optimization Workshop at Advances in Neural Information Processing Systems 27th (OPT at NIPS’14), Dec. 2014. [Paper] [Code] [Old Code]

Turek, J.S.; Elad, M.; Yavneh, I., “Sparse Signal Separation with an Off-line Learned Dictionary for Clutter Reduction in Echocardiography”, IEEE 28-th Convention of Electrical and Electronics Engineers in Israel (IEEEI), Dec. 2014. [Paper] [Code]

Turek, J.S.; Yavneh, I.; Elad, M., “On MAP and MMSE Estimators for the Co-sparse Analysis Model”, Digital Signal Processing, Mar. 2014. [Paper] [Code]

Turek, J.S.; Yavneh, I.; Elad, M., “On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary”, Signal Processing, IEEE Transactions on , vol.59, no.8, pp.3526,3535, Aug. 2011. [Paper]

Biberstein, M.; Dori-Hacohen, S.; Harel, Y.; Heilper, A.; Mendelson, B.; Shvadron, U.; Treister, E.; Turek, J.; Chang, M.S., “Cell Broadband Engine Processor Performance Optimization: Tracing Tools Implementation and Use”, IBM Journal of Research and Development , vol.53, no.5, pp.7:1,7:14, Sept. 2009. [Paper]

Biberstein, M.; Shvadron, U.; Turek, J.; Mendelson, B.; Chang, M.S., “Trace-based Performance Analysis on Cell BE”, Performance Analysis of Systems and Software, 2008. ISPASS 2008. IEEE International Symposium on, vol., no., pp.213,222, 20-22 Apr. 2008. [Paper]

Preprints

J. S. Turek, S. Jain, M. Capota, A. G. Huth, T. L. Willke, “A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between”, arXiv:1909.00021, Sep. 2019. [Preprint]

M. J. Anderson, J. I. Tamir, J. S. Turek, M. T. Alley, T. L. Willke, S. S. Vasanawala, M. Lustig, “Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging”, arXiv:1809.04195, Sep. 2018. [Preprint]

H. Zhang, P.-H. Chen, J. Chen, X. Zhu, J. S. Turek, T. L. Willke, U. Hasson, P. J. Ramadge, “A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis”, arXiv:1609.09432, Sep. 2016. [Preprint]

Chen, P-H; Zhu, X.; Zhang, H.; Turek, J. S.; Chen, J.; Willke, T. L.; Hasson, U.; Ramadge, P. J., “A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation”, arXiv:1608.04846, Aug. 2016 [Preprint]

Patents

B. Lakshamanan, L. L. Hurd, B. J. Ashbaugh, E. Ould-Ahmed-Vall, L. Ma, J. Jin, J. E. Gottschlich, C. Sakthivel, M. S. Strickland, B. T. Lewis, L. Kuper, A. Koker, A. R. Appu, P. Surti, J. Ray, B. Vembu, J. S. Turek, N. Farooqui, “Autonomous vehicle advanced sensing and response”, US 10332320, June 2019.

Dissertation

Turek, J.S., “Topics in Sparse Representation Modeling and Applications”, Ph.D. dissertation, May 2015. [Thesis]