Thanh Van Nguyen

According to our database, Thanh Van Nguyen authored at least 19 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Implicit Regularization for Group Sparsity.

Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Provable Compressed Sensing With Generative Priors via Langevin Dynamics.

Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde

IEEE Trans. Inf. Theory, 2022

Inverse Imaging with Generative Priors Via Langevin Dynamics.

Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis.

Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde

IEEE Trans. Inf. Theory, 2021

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

Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong

CoRR, 2021

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

Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Ka Wai Wong

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.

Thanh Van Nguyen, Nikhil Rao, Karthik Subbian

CoRR, 2020

2019

Provably Accurate Double-Sparse Coding.

Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde

J. Mach. Learn. Res., 2019

On the Dynamics of Gradient Descent for Autoencoders.

Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Autoencoders Learn Generative Linear Models.

Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde

CoRR, 2018

Complementing global and local contexts in representing API descriptions to improve API retrieval tasks.

Thanh Van Nguyen, Ngoc M. Tran, Hung Phan, Trong Duc Nguyen, Linh H. Truong, Anh Tuan Nguyen, Hoan Anh Nguyen, Tien N. Nguyen

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Inferring API elements relevant to an english query.

Thanh Van Nguyen, Tien N. Nguyen

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

On Learning Sparsely Used Dictionaries from Incomplete Samples.

Thanh Van Nguyen, Akshay Soni, Chinmay Hegde

Proceedings of the 35th International Conference on Machine Learning, 2018

A Provable Approach for Double-Sparse Coding.

Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

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

Aditya Balu, Thanh Van Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar

CoRR, 2017

Statistical translation of English texts to API code templates.

Anh Tuan Nguyen, Peter C. Rigby, Thanh Van Nguyen, Mark Karanfil, Tien N. Nguyen

Proceedings of the 39th International Conference on Software Engineering, 2017

Combining Word2Vec with revised vector space model for better code retrieval.

Thanh Van Nguyen, Anh Tuan Nguyen, Hung Dang Phan, Trong Duc Nguyen, Tien N. Nguyen

Proceedings of the 39th International Conference on Software Engineering, 2017

2016

T2API: synthesizing API code usage templates from English texts with statistical translation.

Thanh Van Nguyen, Peter C. Rigby, Anh Tuan Nguyen, Mark Karanfil, Tien N. Nguyen

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Characterizing API elements in software documentation with vector representation.

Thanh Van Nguyen, Anh Tuan Nguyen, Tien N. Nguyen

Proceedings of the 38th International Conference on Software Engineering, 2016