Javier Turek

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 10

Top Topics

Continuous Optimization

Top Venues

Publications

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 (2024)
Aditya R. Vaidya, Javier Turek, Alexander G. Huth
Humans and language models diverge when predicting repeating text. CoRR (2023)
Aditya R. Vaidya, Javier Turek, Alexander Huth
Humans and language models diverge when predicting repeating text. CoNLL (2023)
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 (2023)
Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Abdullah Muzahid
Synthesizing Programs with Continuous Optimization. CoRR (2022)
Richard Antonello, Javier Turek, Vy A. Vo, Alexander Huth
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses. CoRR (2021)
Shantanu Mandal, Todd A. Anderson, Javier Turek, Justin Gottschlich, Shengtian Zhou, Abdullah Muzahid
Learning Fitness Functions for Machine Programming. MLSys (2021)
Richard Antonello, Nicole Beckage, Javier Turek, Alexander Huth
Selecting Informative Contexts Improves Language Model Fine-tuning. ACL/IJCNLP (1) (2021)
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)
Richard Antonello, Javier Turek, Alexander Huth
Selecting Informative Contexts Improves Language Model Finetuning. CoRR (2020)
Javier Turek, Irad Yavneh, Michael Elad
On MAP and MMSE estimators for the co-sparse analysis model. Digit. Signal Process. 28 (2014)
Eran Treister, Javier Turek
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation. NIPS (2014)
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) (2011)
Javier Turek, Irad Yavneh, Matan Protter, Michael Elad
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary CoRR (2010)
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) (2009)
Marina Biberstein, Uzi Shvadron, Javier Turek, Bilha Mendelson, Moon S. Chang
Trace-based Performance Analysis on Cell BE. ISPASS (2008)