Headshot of Adriana Romero
Headshot of Adriana Romero

People

Adriana Romero

Research Scientist

I am a Research Scientist in Meta AI Research (FAIR). Previously, I was a post-doctoral researcher at Montreal Institute for Learning Algorithms, advised by Prof. Yoshua Bengio. My postdoctoral research revolved around deep learning techniques to tackle biomedical challenges, such as the ones posed by imaging multi-modality, high dimensional data and graph structured data. I received my PhD from the University of Barcelona in 2015. My thesis was on assisting the training of deep neural networks with applications to computer vision, advised by Dr. Carlo Gatta. My PhD included contributions in the fields of representation learning and model compression, with applications to image classification, image segmentation and remote sensing.

Interests

Deep learning, computer vision, graphs, multi-modality, and medical imaging

Latest Publications

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Jure Zbontar, Florian Knoll, Anuroop Sriram, Tullie Murrell, Zhengnan Huang, Matthew J. Muckley, Aaron Defazio, Ruben Stern, Patricia Johnson, Mary Bruno, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Mike Rabbat, Pascal Vincent, Nafissa Yakubova, James Pinkerton, Duo Wang, Erich Owens, Larry Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui

arXiv - 2020