Adriana Romero Soriano

RESEARCH SCIENTIST | 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

November 03, 2021

CORE MACHINE LEARNING

Parameter Prediction for Unseen Deep Architectures

Boris Knyazev, Michal Drozdzal, Graham Taylor, Adriana Romero Soriano

November 03, 2021

October 26, 2021

Active 3D Shape Reconstruction from Vision and Touch

Edward Smith, Adriana Romero Soriano, Jitendra Malik, Luis Pineda, Michal Drozdzal, Roberto Calandra, David Meger

October 26, 2021

November 04, 2020

REINFORCEMENT LEARNING

COMPUTER VISION

Active MR k-space Sampling with Reinforcement Learning

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

November 04, 2020

October 30, 2020

3D Shape Reconstruction from Vision and Touch

Adriana Romero Soriano, Edward Smith, Georgia Gkioxari, Jitendra Malik, Michal Drozdzal, Roberto Calandra, David Meger

October 30, 2020

June 16, 2019

RESEARCH

COMPUTER VISION

Inverse Cooking: Recipe Generation from Food Images

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

June 16, 2019

June 03, 2019

CONVERSATIONAL AI

RESEARCH

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects

Adriana Romero Soriano, Dave Meger, Edward Smith, Scott Fujimoto

June 03, 2019

May 10, 2019

RESEARCH

COMPUTER VISION

Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition

Michal Drozdzal, Adriana Romero Soriano, Pascal Vincent, Lin Yang, Matthiew Muckley, Zizhao Zhang

May 10, 2019

June 18, 2018

RESEARCH

COMPUTER VISION

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

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

June 18, 2018

April 29, 2018

RESEARCH

COMPUTER VISION

Graph Attention Networks

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

April 29, 2018