default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJavier Turek
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i17]Pablo Rivas, Tomás Cerný, Alejandro Rodríguez Pérez, Javier Turek, Laurie Giddens, Gisela Bichler, Stacie Petter:
On the Challenges of Creating Datasets for Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity. CoRR abs/2405.13348 (2024)- [i16]Mathis Pink, Vy A. Vo, Qinyuan Wu, Jianing Mu, Javier S. Turek, Uri Hasson, Kenneth A. Norman, Sebastian Michelmann, Alexander Huth, Mariya Toneva:
Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks. CoRR abs/2410.08133 (2024) - 2023
- [c16]Aditya R. Vaidya, Javier Turek, Alexander Huth:
Humans and language models diverge when predicting repeating text. CoNLL 2023: 58-69 - [i15]Shantanu Mandal, Adhrik Chethan, Vahid Janfaza, S. M. Farabi Mahmud, Todd A. Anderson, Javier Turek, Jesmin Jahan Tithi, Abdullah Muzahid:
Large Language Models Based Automatic Synthesis of Software Specifications. CoRR abs/2304.09181 (2023) - [i14]Aditya R. Vaidya, Javier Turek
, Alexander G. Huth:
Humans and language models diverge when predicting repeating text. CoRR abs/2310.06408 (2023) - 2022
- [c15]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: 130-143 - [i13]Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Abdullah Muzahid:
Synthesizing Programs with Continuous Optimization. CoRR abs/2211.00828 (2022) - 2021
- [c14]Richard Antonello, Nicole Beckage, Javier Turek, Alexander Huth:
Selecting Informative Contexts Improves Language Model Fine-tuning. ACL/IJCNLP (1) 2021: 1072-1085 - [c13]Shivangi Mahto, Vy Ai Vo, Javier S. Turek, Alexander Huth:
Multi-timescale Representation Learning in LSTM Language Models. ICLR 2021 - [c12]Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Shengtian Zhou, Abdullah Muzahid:
Learning Fitness Functions for Machine Programming. MLSys 2021 - [c11]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: 8332-8344 - [i12]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 abs/2105.05944 (2021) - [i11]Richard Antonello, Javier Turek, Vy A. Vo, Alexander Huth:
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses. CoRR abs/2106.05426 (2021) - 2020
- [c10]Javier Turek, Shailee Jain, Vy A. Vo, Mihai Capota, Alexander Huth, Theodore L. Willke:
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network. ICML 2020: 9648-9658 - [c9]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 - [i10]Richard Antonello, Javier Turek, Alexander Huth:
Selecting Informative Contexts Improves Language Model Finetuning. CoRR abs/2005.00175 (2020) - [i9]Shivangi Mahto, Vy A. Vo, Javier S. Turek, Alexander G. Huth:
Multi-timescale representation learning in LSTM Language Models. CoRR abs/2009.12727 (2020)
2010 – 2019
- 2019
- [c8]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: 11623-11635 - [i8]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 abs/1909.00021 (2019) - 2018
- [c7]Javier S. Turek, Alexander G. Huth:
Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling. CVPR 2018: 2850-2858 - [c6]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: 826-830 - [i7]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 abs/1809.04195 (2018) - 2017
- [c5]Javier S. Turek, Theodore L. Willke, Po-Hsuan Chen, Peter J. Ramadge:
A semi-supervised method for multi-subject FMRI functional alignment. ICASSP 2017: 1098-1102 - [i6]Javier S. Turek, Alexander Huth:
Sparse and low-rank approximations of large symmetric matrices using biharmonic interpolation. CoRR abs/1705.10887 (2017) - 2016
- [j5]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) - [c4]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: 1151-1160 - [i5]Eran Treister, Javier S. Turek, Irad Yavneh:
A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression. CoRR abs/1607.00315 (2016) - [i4]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 abs/1608.04647 (2016) - [i3]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 abs/1608.04846 (2016) - [i2]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 abs/1609.09432 (2016) - 2015
- [b1]Javier Turek:
Topics in sparse representation modeling and applications. Technion - Israel Institute of Technology, Israel, 2015 - [j4]Javier S. Turek, Michael Elad, Irad Yavneh:
Clutter Mitigation in Echocardiography Using Sparse Signal Separation. Int. J. Biomed. Imaging 2015: 958963:1-958963:18 (2015) - [c3]Javier S. Turek, Jeremias Sulam, Michael Elad, Irad Yavneh:
Fusion of ultrasound harmonic imaging with clutter removal using sparse signal separation. ICASSP 2015: 793-797 - 2014
- [j3]Javier Turek, Irad Yavneh, Michael Elad:
On MAP and MMSE estimators for the co-sparse analysis model. Digit. Signal Process. 28: 57-74 (2014) - [c2]Eran Treister, Javier Turek:
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation. NIPS 2014: 927-935 - 2011
- [j2]Javier Turek, Irad Yavneh, Michael Elad:
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary. IEEE Trans. Signal Process. 59(8): 3526-3535 (2011) - 2010
- [i1]Javier Turek, Irad Yavneh, Matan Protter, Michael Elad:
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary. CoRR abs/1003.3984 (2010)
2000 – 2009
- 2009
- [j1]Marina Biberstein, Shiri Dori-Hacohen, Yuval Harel, Andre Heilper, Bilha Mendelson, Uzi Shvadron, Eran Treister, Javier Turek, Moon S. Chang:
Cell Broadband Engine processor performance optimization: Tracing tools implementation and use. IBM J. Res. Dev. 53(5): 7 (2009) - 2008
- [c1]Marina Biberstein, Uzi Shvadron, Javier Turek, Bilha Mendelson, Moon S. Chang:
Trace-based Performance Analysis on Cell BE. ISPASS 2008: 213-222
Coauthor Index
aka: Alexander Huth
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-19 21:44 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
