Thanh Van Nguyen

24 papers A* 4A 1Misc 1Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2023 A* conf
Implicit Regularization for Group Sparsity.
ICLR
Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong
2023 J jnl
Implicit Regularization for Group Sparsity.
CoRR
Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong
2022 Misc conf
Inverse Imaging with Generative Priors Via Langevin Dynamics.
ICASSP
Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde
2022 J jnl
Provable Compressed Sensing With Generative Priors via Langevin Dynamics.
IEEE Trans. Inf. Theory
Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde
2021 J jnl
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis.
IEEE Trans. Inf. Theory
Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2021 A* conf
Implicit Sparse Regularization: The Impact of Depth and Early Stopping.
NeurIPS
Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Ka Wai Wong
2021 J jnl
Implicit Sparse Regularization: The Impact of Depth and Early Stopping.
CoRR
Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong
2021 J jnl
Provable Compressed Sensing with Generative Priors via Langevin Dynamics.
CoRR
Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde
2020 J jnl
Learning Robust Models for e-Commerce Product Search.
CoRR
Thanh Van Nguyen, Nikhil Rao, Karthik Subbian
2019 J jnl
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis.
CoRR
Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2019 A conf
On the Dynamics of Gradient Descent for Autoencoders.
AISTATS
Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2019 J jnl
Provably Accurate Double-Sparse Coding.
J. Mach. Learn. Res.
Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2018 A* conf
A Provable Approach for Double-Sparse Coding.
AAAI
Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2018 J jnl
Autoencoders Learn Generative Linear Models.
CoRR
Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2018 — conf
Complementing global and local contexts in representing API descriptions to improve API retrieval tasks.
ESEC/SIGSOFT FSE
Thanh Van Nguyen, Ngoc M. Tran, Hung Phan, Trong Duc Nguyen, Linh H. Truong, Anh Tuan Nguyen, Hoan Anh Nguyen, Tien N. Nguyen
2018 — conf
Inferring API elements relevant to an english query.
ICSE (Companion Volume)
Thanh Van Nguyen, Tien N. Nguyen
2018 A* conf
On Learning Sparsely Used Dictionaries from Incomplete Samples.
ICML
Thanh Van Nguyen, Akshay Soni, Chinmay Hegde
2018 J jnl
On Learning Sparsely Used Dictionaries from Incomplete Samples.
CoRR
Thanh Van Nguyen, Akshay Soni, Chinmay Hegde
2017 J jnl
A Forward-Backward Approach for Visualizing Information Flow in Deep Networks.
CoRR
Aditya Balu, Thanh Van Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar
2017 J jnl
A Provable Approach for Double-Sparse Coding.
CoRR
Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde
2017 — conf
Combining Word2Vec with revised vector space model for better code retrieval.
ICSE (Companion Volume)
Thanh Van Nguyen, Anh Tuan Nguyen, Hung Dang Phan, Trong Duc Nguyen, Tien N. Nguyen
2017 — conf
Statistical translation of English texts to API code templates.
ICSE (Companion Volume)
Anh Tuan Nguyen, Peter C. Rigby, Thanh Van Nguyen, Mark Karanfil, Tien N. Nguyen
2016 — conf
Characterizing API elements in software documentation with vector representation.
ICSE (Companion Volume)
Thanh Van Nguyen, Anh Tuan Nguyen, Tien N. Nguyen
2016 — conf
T2API: synthesizing API code usage templates from English texts with statistical translation.
SIGSOFT FSE
Thanh Van Nguyen, Peter C. Rigby, Anh Tuan Nguyen, Mark Karanfil, Tien N. Nguyen