Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Thanh V. Nguyen

Implicit Sparse Regularization: The Impact of Depth and Early Stopping


Aug 12, 2021
Jiangyuan Li, Thanh V. Nguyen, Chinmay Hegde, Raymond K. W. Wong

* 32 pages 

  Access Paper or Ask Questions

Provable Compressed Sensing with Generative Priors via Langevin Dynamics


Feb 25, 2021
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde


  Access Paper or Ask Questions

Active learning of deep surrogates for PDEs: Application to metasurface design


Aug 24, 2020
Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen, Payel Das, Steven G. Johnson

* submitted to npj 

  Access Paper or Ask Questions

Learning Robust Models for e-Commerce Product Search


May 07, 2020
Thanh V. Nguyen, Nikhil Rao, Karthik Subbian

* This work has been accepted for publication at ACL2020 

  Access Paper or Ask Questions

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


Nov 27, 2019
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde


  Access Paper or Ask Questions

Autoencoders Learn Generative Linear Models


Jun 02, 2018
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde

* 19 pages 

  Access Paper or Ask Questions

On Learning Sparsely Used Dictionaries from Incomplete Samples


Apr 24, 2018
Thanh V. Nguyen, Akshay Soni, Chinmay Hegde


  Access Paper or Ask Questions

Provably Accurate Double-Sparse Coding


Dec 12, 2017
Thanh V. Nguyen, Raymond K. W. Wong, Chinmay Hegde

* 40 pages. An abbreviated conference version appears at AAAI 2018 

  Access Paper or Ask Questions

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


Nov 16, 2017
Aditya Balu, Thanh V. Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar

* Presented at NIPS 2017 Symposium on Interpretable Machine Learning 

  Access Paper or Ask Questions