Thanh Van Nguyen

Orcid: 0000-0003-1576-5420

According to our database1, Thanh Van Nguyen authored at least 20 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Implicit Regularization for Group Sparsity.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Provable Compressed Sensing With Generative Priors via Langevin Dynamics.
IEEE Trans. Inf. Theory, 2022

Inverse Imaging with Generative Priors Via Langevin Dynamics.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis.
IEEE Trans. Inf. Theory, 2021

Implicit Sparse Regularization: The Impact of Depth and Early Stopping.
CoRR, 2021

Implicit Sparse Regularization: The Impact of Depth and Early Stopping.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Learning Robust Models for e-Commerce Product Search.
CoRR, 2020

2019
Provably Accurate Double-Sparse Coding.
J. Mach. Learn. Res., 2019

On the Dynamics of Gradient Descent for Autoencoders.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Autoencoders Learn Generative Linear Models.
CoRR, 2018

Complementing global and local contexts in representing API descriptions to improve API retrieval tasks.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Statistical Translation of English Texts to API Code Templates.
Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

Inferring API elements relevant to an english query.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

On Learning Sparsely Used Dictionaries from Incomplete Samples.
Proceedings of the 35th International Conference on Machine Learning, 2018

A Provable Approach for Double-Sparse Coding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Forward-Backward Approach for Visualizing Information Flow in Deep Networks.
CoRR, 2017

Statistical translation of English texts to API code templates.
Proceedings of the 39th International Conference on Software Engineering, 2017

Combining Word2Vec with revised vector space model for better code retrieval.
Proceedings of the 39th International Conference on Software Engineering, 2017

2016
T2API: synthesizing API code usage templates from English texts with statistical translation.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Characterizing API elements in software documentation with vector representation.
Proceedings of the 38th International Conference on Software Engineering, 2016


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