Javier S. Turek

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 19

Top Topics

Factor Analysis

Sparse Representation

Top Venues

ECCV Workshops (7)

Publications

Ruth Akiva-Hochman, Shahaf E. Finder, Javier S. Turek, Eran Treister
Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks. ECCV Workshops (7) (2022)
Hsiang-Yun Sherry Chien, Javier S. Turek, Nicole Beckage, Vy A. Vo, Christopher J. Honey, Theodore L. Willke
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay. CoRR (2021)
Richard Antonello, Javier S. Turek, Vy Ai Vo, Alexander Huth
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses. NeurIPS (2021)
Shivangi Mahto, Vy Ai Vo, Javier S. Turek, Alexander Huth
Multi-timescale Representation Learning in LSTM Language Models. ICLR (2021)
Shivangi Mahto, Vy A. Vo, Javier S. Turek, Alexander G. Huth
Multi-timescale representation learning in LSTM Language Models. CoRR (2020)
Shailee Jain, Vy A. Vo, Shivangi Mahto, Amanda LeBel, Javier S. Turek, Alexander Huth
Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech. NeurIPS (2020)
Javier S. Turek, Shailee Jain, Mihai Capota, Alexander G. Huth, Theodore L. Willke
A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between. CoRR (2019)
Mejbah Alam, Justin Gottschlich, Nesime Tatbul, Javier S. Turek, Tim Mattson, Abdullah Muzahid
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions. NeurIPS (2019)
Javier S. Turek, Cameron T. Ellis, Lena J. Skalaban, Nicholas B. Turk-Browne, Theodore L. Willke
Capturing Shared and Individual Information in fMRI Data. ICASSP (2018)
Javier S. Turek, Alexander G. Huth
Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling. CVPR (2018)
Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig
Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. CoRR (2018)
Javier S. Turek, Alexander Huth
Sparse and low-rank approximations of large symmetric matrices using biharmonic interpolation. CoRR (2017)
Javier S. Turek, Theodore L. Willke, Po-Hsuan Chen, Peter J. Ramadge
A semi-supervised method for multi-subject FMRI functional alignment. ICASSP (2017)
Eran Treister, Javier S. Turek, Irad Yavneh
A Multilevel Framework for Sparse Optimization with Application to Inverse Covariance Estimation and Logistic Regression. SIAM J. Sci. Comput. 38 (5) (2016)
Po-Hsuan Chen, Xia Zhu, Hejia Zhang, Javier S. Turek, Janice Chen, Theodore L. Willke, Uri Hasson, Peter J. Ramadge
A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation. CoRR (2016)
Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman
Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets. CoRR (2016)
Hejia Zhang, Po-Hsuan Chen, Janice Chen, Xia Zhu, Javier S. Turek, Theodore L. Willke, Uri Hasson, Peter J. Ramadge
A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis. CoRR (2016)
Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman
Enabling factor analysis on thousand-subject neuroimaging datasets. IEEE BigData (2016)
Eran Treister, Javier S. Turek, Irad Yavneh
A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression. CoRR (2016)
Javier S. Turek, Michael Elad, Irad Yavneh
Clutter Mitigation in Echocardiography Using Sparse Signal Separation. Int. J. Biomed. Imaging 2015 (2015)
Javier S. Turek, Jeremias Sulam, Michael Elad, Irad Yavneh
Fusion of ultrasound harmonic imaging with clutter removal using sparse signal separation. ICASSP (2015)