Talks
Recent talks
October 2024, Generative models as queryable world models. ANNPR. Speaker.
September 2024, Generative models as world models. Mediterranean Machine Learning Summer School. Speaker.
June 2024, Generative models as queryable world models. LatinX in Computer Vision, CVPR. Speaker.
April 2024, Generative models as queryable world models. World Summit AI. Speaker.
April 2024, Generative models as queryable world models. Semaine NumeriQC. Speaker.
Some previous talks
August 2023, Seeing the unseen: visual content creation from limited sensory data. WiDS Santa Clara. Distinguished speaker.
June 2023, Seeing the unseen: visual content recovery and creation from limited sensory data. CANAI Graduate Symposium. Keynote speaker.
November 2022, Seeing the unseen: visual content recovery and creation from limited sensory data. Mila.
October 2022, Seeing the unseen: visual content recovery and creation from limited sensory data. Invited talk at the University of Bristol, Machine Learning and Computer Vision seminar.
December 2021, Seeing the unseen: Inferring unobserved information from limited sensory data. Women in Machine Learning Workshop. Invited Speaker.
November 2021, Seeing the unseen: Inferring unobserved information from limited sensory data. Open Data Science Conference (ODSC West). Invited Speaker.
September 2021,Ver lo invisible: inferir información no observada a partir de datos sensoriales limitados ("Seeing the unseen: Inferring unobserved information from limited sensory data"). Women in Data Science Medellín. Invited Speaker.
June 2021, Seeing the unseen: inferring unobserved information from multi-modal data. womentech Global Conference. Invited Speaker.
May 2021, Seeing the unseen: Inferring unobserved information from limited sensory data. 18th Conference on Robots and Vision, Invited Symposium Speaker.
April 2021, Seeing the unseen: inferring unobserved information from multi-modal data. MSR Montreal Seminar.
February 2021, Seeing the unseen: inferring unobserved information from multi-modal data. VASC seminar, CMU.
June 2020, Attention mechanisms in deep learning. Deep Learning for Human Brain Mapping 2020, Montreal.
December 2018, Deep learning for graphs, sets and MRIs. Deep Learning Barcelona Symposium, Barcelona.
November 2018, Deep learning for graphs and sets. Colloquium at McGill University, Montreal.
August 2018, Deep learning for genomics and graph-structured data. Keynote Speaker at INCF Neuroinformatics, Montreal.
July 2018, Deep learning for genomics and graph-structured data. Keynote Speaker at International Conference on Medical Imaging with Deep Learning, Amsterdam.
June 2018, Graph Attention Networks. Invited Speaker at Deep-Vision Workshop CVPR, Salt Lake City.
February 2018, Graph Attention Networks. Pompeu Fabra University, Barcelona.
February 2018, Why I chose STEM, I Chose Science Symposium hosted by Montreal Microsoft Research, Montreal.
October 2017, Deep Learning for Personalized Medicine. Women in Machine Intelligence Dinner (Rework), Montreal.
August 2017, Fully Convolutional Networks for Cortical Layer and Cortical Mesh Segmentation. HBHL Neuroinformatics Workshop, McGill, Montreal.
June 2017, Deep Learning for Personalized Medicine. AI for Social Good Summer Lab, McGill, Montreal.
May 2017, Diet Networks. NVIDIA GTC, San José.
March 2017, Diet Networks. Institut de Cardiologie de Montréal, Montreal.
March 2017, Diet Networks. Universitat de Barcelona, Barcelona.
December 2016, Fully Convolutional DenseNets. Universitat Politècnica de Catalunya, Barcelona.
November 2016, Diet Networks. McGill Genome Center, Montreal.
July 2016, Deep Learning for Semantic Segmentation. Computer Vision Center, Barcelona.
April 2015, FitNets: Hints for Thin Deep Networks. Computer Vision Center, Barcelona.
January 2015, FitNets: Hints for Thin Deep Networks. LISA lab, University of Montreal.