R. Akiva-Hochman, S. E. Finder, J. S. Turek, E. Treister, “Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks”, European Conference on Computer Vision (ECCV), 2022. [Paper]

R. Antonello, V. Vo, J. S. Turek, A. Huth, “Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses”, 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Dec. 2021. [Paper]

M. Kumar, M. Anderson, J. Antony, C. Baldassano, P. Brooks, M. Cai, P.-H. Chen, C. Ellis, G. Henselman-Petrusek, D. Huberdeau, B. Hutchinson, Y. Li, Q. Lu, J. Manning, A. Mennen, S. Nastase, H. Richard, A. Schapiro, N. Schuck, M. Shvartsman, N. Sundaram, D. Suo, J. Turek, D. Turner, V. Vo, G. Wallace, Y. Wang, J. Williams, H. Zhang, X. Zhu, M. Capota, J. Cohen, U. Hasson, K. Li, P. Ramadge, N. Turk-Browne, T. Willke, K. Norman, “BrainIAK: The Brain Imaging Analysis Kit”, Aperture, Jul. 2021. [Paper][Code]

R. Antonello, N. Beckage, J. S. Turek, A. Huth, “Selecting Informative Contexts Improves Language Model Finetuning”, 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021), Aug. 2021. [Paper][Code]

S. Mahto, V. Vo, J. Turek, A. Huth, “Multi-timescale Representation Learning in LSTM Language Models”, International Conference on Learning Representations 2021 (ICLR 2021), May 2021, [Paper][Code]

S. Mandal, T. A. Anderson, J. S. Turek, J. Gottschlich, S. Zhou, A. Muzahid, “Learning Fitness Functions for Machine Programming”, Machine Learning and Systems 3 (MLSys 2021), Feb. 2021. [Paper]

S. Jain, V. Vo, S. Mahto, A. LeBel, J. Turek, A. Huth, “Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech”, Advances in Neural Information Processing Systems 33th (NeurIPS’20), Dec. 2020. [Paper]

J. S. Turek, S. Jain, V. Vo, M. Capota, A. G. Huth, T. L. Willke, “Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network”, International Conference on Machine Learning (ICML), Jul. 2020. [Paper][Code]

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 32th (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), Jun. 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), Apr. 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), Mar. 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]


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]


D. Gonzalez Aguirre, J. Felip Leon, M.Elli, L. Remis, J. S. Turek et al., “Technologies for management of data layers in a heterogeneous geographic information system map”, US 11093530, Aug. 2021.

J. S. Turek, J. Felip Leon, L. Remis, I. Alvarez, D. Gonzalez Aguirre, J. Gottschlich, “Methods and apparatus to automatically generate code for graphical user interfaces”, US 11061650, Jul. 2021.

J. S. Turek, J. Felip Leon, A. Heinecke, E. Georganas, L. Remis, I. Alvarez, D. Gonzalez Aguirre, S. Zhou, J. Gottschlich, “Systems and methods for determining a configuration for a microarchitecture”, US 10853554, Dec. 2020.

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.


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