Adriana Romero Soriano

Montreal, Canada

Adriana is currently a research scientist at Facebook AI Research and an adjunct professor at McGill University. The goal of her research is to develop models and algorithms that are able to learn from multi-modal and real world data, understand and reason about conceptual relations, and recognize their uncertainties, while addressing impactful problems. The playground of her research has been defined by problems which require inferring full observations from limited sensory data. Previously, she was a post-doctoral researcher at Mila, advised by Prof. Yoshua Bengio. her postdoctoral research revolved around deep learning techniques to tackle biomedical challenges, such as the ones posed by multi-modal data, high dimensional data and graph structured data. She received her Ph.D. from University of Barcelona with a thesis on assisting the training of deep neural networks, advised by Dr. Carlo Gatta.

Adriana's Work

Adriana's Publications

October 10, 2020

REINFORCEMENT LEARNING

COMPUTER VISION

Active MR k-space Sampling with Reinforcement Learning

Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra Michal Drozdzal

October 10, 2020

June 16, 2019

RESEARCH

COMPUTER VISION

Inverse Cooking: Recipe Generation from Food Images

Amaia Salvador, Michal Drozdzal, Xavier Giro-i-Nieto, Adriana Romero

June 16, 2019

June 16, 2019

RESEARCH

COMPUTER VISION

Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition

Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal

June 16, 2019

June 10, 2019

RESEARCH

COMPUTER VISION

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects

Edward J. Smith, Scott Fujimoto, Adriana Romero, David Meger

June 10, 2019

March 12, 2019

NLP

SPEECH & AUDIO

Convolutional neural networks for mesh-based parcellation of the cerebral cortex

Guillem Cucurull, Konrad Wagstyl, Arantxa Casanova, Petar Velickovic, Estrid Jakobsen, Michal Drozdzal, Adriana Romero, Alan Evans, Yoshua Bengio

March 12, 2019

June 18, 2018

RESEARCH

COMPUTER VISION

On the iterative refinement of densely connected representation levels for semantic segmentation

Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio

June 18, 2018

April 30, 2018

RESEARCH

COMPUTER VISION

Graph Attention Networks

Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, Yoshua Bengio

April 30, 2018