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Thanh Van Nguyen
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2020 – today
- 2023
- [c12]Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong:
Implicit Regularization for Group Sparsity. ICLR 2023 - [i9]Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong:
Implicit Regularization for Group Sparsity. CoRR abs/2301.12540 (2023) - 2022
- [j3]Thanh Van Nguyen
, Gauri Jagatap
Provable Compressed Sensing With Generative Priors via Langevin Dynamics. IEEE Trans. Inf. Theory 68(11): 7410-7422 (2022) - [c11]Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde:
Inverse Imaging with Generative Priors Via Langevin Dynamics. ICASSP 2022: 8672-8676 - 2021
- [j2]Thanh Van Nguyen
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. IEEE Trans. Inf. Theory 67(7): 4669-4692 (2021) - [c10]Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Ka Wai Wong:
Implicit Sparse Regularization: The Impact of Depth and Early Stopping. NeurIPS 2021: 28298-28309 - [i8]Thanh Van Nguyen, Gauri Jagatap, Chinmay Hegde:
Provable Compressed Sensing with Generative Priors via Langevin Dynamics. CoRR abs/2102.12643 (2021) - [i7]Jiangyuan Li, Thanh Van Nguyen, Chinmay Hegde, Raymond K. W. Wong:
Implicit Sparse Regularization: The Impact of Depth and Early Stopping. CoRR abs/2108.05574 (2021) - 2020
- [i6]Thanh Van Nguyen
Learning Robust Models for e-Commerce Product Search. CoRR abs/2005.03624 (2020)
2010 – 2019
- 2019
- [j1]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
Provably Accurate Double-Sparse Coding. J. Mach. Learn. Res. 20: 141:1-141:43 (2019) - [c9]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
On the Dynamics of Gradient Descent for Autoencoders. AISTATS 2019: 2858-2867 - [i5]Thanh Van Nguyen
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. CoRR abs/1911.11983 (2019) - 2018
- [c8]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
A Provable Approach for Double-Sparse Coding. AAAI 2018: 3852-3859 - [c7]Thanh Van Nguyen, Akshay Soni, Chinmay Hegde:
On Learning Sparsely Used Dictionaries from Incomplete Samples. ICML 2018: 3766-3775 - [c6]Thanh Van Nguyen, Tien N. Nguyen:
Inferring API elements relevant to an english query. ICSE (Companion Volume) 2018: 167-168 - [c5]Thanh Van Nguyen, Ngoc M. Tran, Hung Phan, Trong Duc Nguyen, Linh H. Truong, Anh Tuan Nguyen, Hoan Anh Nguyen, Tien N. Nguyen:
Complementing global and local contexts in representing API descriptions to improve API retrieval tasks. ESEC/SIGSOFT FSE 2018: 551-562 - [i4]Thanh Van Nguyen
On Learning Sparsely Used Dictionaries from Incomplete Samples. CoRR abs/1804.09217 (2018) - [i3]Thanh Van Nguyen
Autoencoders Learn Generative Linear Models. CoRR abs/1806.00572 (2018) - 2017
- [c4]Thanh Van Nguyen
Combining Word2Vec with revised vector space model for better code retrieval. ICSE (Companion Volume) 2017: 183-185 - [c3]Anh Tuan Nguyen, Peter C. Rigby, Thanh Van Nguyen
Statistical translation of English texts to API code templates. ICSE (Companion Volume) 2017: 331-333 - [i2]Thanh Van Nguyen, Raymond K. W. Wong, Chinmay Hegde:
A Provable Approach for Double-Sparse Coding. CoRR abs/1711.03638 (2017) - [i1]Aditya Balu, Thanh Van Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar:
A Forward-Backward Approach for Visualizing Information Flow in Deep Networks. CoRR abs/1711.06221 (2017) - 2016
- [c2]Thanh Van Nguyen
Characterizing API elements in software documentation with vector representation. ICSE (Companion Volume) 2016: 749-751 - [c1]Thanh Van Nguyen
T2API: synthesizing API code usage templates from English texts with statistical translation. SIGSOFT FSE 2016: 1013-1017
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