Javier Turek

Orcid: 0000-0003-4027-1529

According to our database1, Javier Turek authored at least 34 papers between 2008 and 2024.

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Bibliography

2024
Assessing Episodic Memory in LLMs with Sequence Order Recall Tasks.
CoRR, 2024

On the Challenges of Creating Datasets for Analyzing Commercial Sex Advertisements to Assess Human Trafficking Risk and Organized Activity.
CoRR, 2024

2023
Large Language Models Based Automatic Synthesis of Software Specifications.
CoRR, 2023

Humans and language models diverge when predicting repeating text.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

2022
Synthesizing Programs with Continuous Optimization.
CoRR, 2022

Searching for N:M Fine-grained Sparsity of Weights and Activations in Neural Networks.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay.
CoRR, 2021

Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Fitness Functions for Machine Programming.
Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Multi-timescale Representation Learning in LSTM Language Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

Selecting Informative Contexts Improves Language Model Fine-tuning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Selecting Informative Contexts Improves Language Model Finetuning.
CoRR, 2020

Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between.
CoRR, 2019

A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging.
CoRR, 2018

Capturing Shared and Individual Information in fMRI Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Sparse and low-rank approximations of large symmetric matrices using biharmonic interpolation.
CoRR, 2017

A semi-supervised method for multi-subject FMRI functional alignment.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
A Multilevel Framework for Sparse Optimization with Application to Inverse Covariance Estimation and Logistic Regression.
SIAM J. Sci. Comput., 2016

A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis.
CoRR, 2016

A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation.
CoRR, 2016

Enabling factor analysis on thousand-subject neuroimaging datasets.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Topics in sparse representation modeling and applications.
PhD thesis, 2015

Clutter Mitigation in Echocardiography Using Sparse Signal Separation.
Int. J. Biomed. Imaging, 2015

Fusion of ultrasound harmonic imaging with clutter removal using sparse signal separation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
On MAP and MMSE estimators for the co-sparse analysis model.
Digit. Signal Process., 2014

A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2011
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary.
IEEE Trans. Signal Process., 2011

2010
On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary
CoRR, 2010

2009
Cell Broadband Engine processor performance optimization: Tracing tools implementation and use.
IBM J. Res. Dev., 2009

2008
Trace-based Performance Analysis on Cell BE.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2008


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