3 papers
stat.ML2021
Provable Compressed Sensing with Generative Priors via Langevin Dynamics
Thanh V. Nguyen, Gauri Jagatap, Chinmay Hegde
Deep generative models have emerged as a powerful class of priors for signals in various inverse problems such as compressed sensing, phase retrieval and super-resolution. Here, we…
cs.LG2020
Active learning of deep surrogates for PDEs: Application to metasurface design
Raphaël Pestourie, Youssef Mroueh, Thanh V. Nguyen +2
Surrogate models for partial-differential equations are widely used in the design of meta-materials to rapidly evaluate the behavior of composable components. However, the training…
cs.CL2020
Learning Robust Models for e-Commerce Product Search
Thanh V. Nguyen, Nikhil Rao, Karthik Subbian
Showing items that do not match search query intent degrades customer experience in e-commerce. These mismatches result from counterfactual biases of the ranking algorithms toward…