Blog
-
September, 2019
Our paper on untrained network priors has been accepted to Neurips’2019!
-
July, 2019
Our paper on Semantic Adversarial Attacks has been accepted to ICCV’19, Seoul!
-
June, 2019
Find our new paper on algorithmic guarantees for inverse imaging with untrained network priors on ArXiv!
-
June, 2019
Check out our new paper that shows a method to encode invariances in deep generative models on Arxiv!
-
April, 2019
Awarded the second prize in the Open Data Challenge at MRS Spring Meeting'19!
Our team of students and professors from ECpE and ME departments of Iowa State University won the second prize in the Open Data Challenge organized by Materials Research Society and Citrine Informatics at MRS Spring meeting in Phoenix, AZ.
Read more » -
April, 2019
Our new paper on Semantic Adversarial Attacks is up on Arxiv!
-
March, 2019
New dataset of 2D morphologies: MRS open data challenge submission
Released a new dataset: Binary 2D morphologies of polymer phase separation along with a python toolbox providing API and utilities to aid the usage of our dataset. Documentation is available here.
Read more » -
February, 2019
Our papers on Hyper Parameter Optimization and Compressive Phase Retrieval under Generative Priors have been accepted to ICASSP, 2019. Look out for our posters at the conference venue.
-
December, 2018
Received a DARPA AIE grant for a project on physics-aware machine learning (along with Soumik Sarkar and Baskar Ganapathysubramaniam).
-
December, 2018
Paper on autoencoder training accepted to AISTATS 2019.
-
November, 2018
Received an ERP grant for a project on adversarial machine learning (along with Soumik Sarkar and Anuj Sharma).
-
November, 2018
New paper on physics-aware deep generative models posted on ArXiv.