Thanh V. Nguyen

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 21

Top Topics

Discriminative Power

Top Venues

IEEE Trans. Inf. Theory

Publications

Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong
Implicit Regularization for Group Sparsity. CoRR (2023)
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong
Implicit Regularization for Group Sparsity. ICLR (2023)
Thanh V. Nguyen, Aashish Yadavally, Tien N. Nguyen
Phrase2Set: Phrase-to-Set Machine Translation and Its Software Engineering Applications. SANER (2022)
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde
Inverse Imaging with Generative Priors Via Langevin Dynamics. ICASSP (2022)
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde
Provable Compressed Sensing With Generative Priors via Langevin Dynamics. IEEE Trans. Inf. Theory 68 (11) (2022)
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Ka Wai Wong
Implicit Sparse Regularization: The Impact of Depth and Early Stopping. NeurIPS (2021)
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde
Provable Compressed Sensing with Generative Priors via Langevin Dynamics. CoRR (2021)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. IEEE Trans. Inf. Theory 67 (7) (2021)
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong
Implicit Sparse Regularization: The Impact of Depth and Early Stopping. CoRR (2021)
Thanh V. Nguyen, Nikhil Rao, Karthik Subbian
Learning Robust Models for e-Commerce Product Search. CoRR (2020)
Thanh V. Nguyen, Nikhil Rao, Karthik Subbian
Learning Robust Models for e-Commerce Product Search. ACL (2020)
Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson
Active learning of deep surrogates for PDEs: Application to metasurface design. CoRR (2020)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis. CoRR (2019)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
On the Dynamics of Gradient Descent for Autoencoders. AISTATS (2019)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
Provably Accurate Double-Sparse Coding. J. Mach. Learn. Res. 20 (2019)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
A Provable Approach for Double-Sparse Coding. AAAI (2018)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
Autoencoders Learn Generative Linear Models. CoRR (2018)
Thanh V. Nguyen, Akshay Soni, Chinmay Hegde
On Learning Sparsely Used Dictionaries from Incomplete Samples. ICML (2018)
Thanh V. Nguyen, Akshay Soni, Chinmay Hegde
On Learning Sparsely Used Dictionaries from Incomplete Samples. CoRR (2018)
Aditya Balu, Thanh V. Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar
A Forward-Backward Approach for Visualizing Information Flow in Deep Networks. CoRR (2017)
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde
A Provable Approach for Double-Sparse Coding. CoRR (2017)