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- Université de MontréalCA125 papers
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30 papers · 1 filter
Filling gaps in trustworthy development of AI
Shahar Avin, Haydn Belfield, Miles Brundage +9
The range of application of artificial intelligence (AI) is vast, as is the potential for harm. Growing awareness of potential risks from AI systems has spurred action to address t…
Cosmic velocity, density and halo mass function: Insights from deep learning
Saba Etezad-Razavi, Erfan Abbasgholinejad, Mohammad-Hadi Sotoudeh +3
We discuss an implementation of a deep learning framework to gain insight into dark matter (DM) structure formation. We investigate the contribution of velocity and density field i…
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results
Raghav Mehta, Angelos Filos, Ujjwal Baid +89
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges.…
Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs
Stephen Bonner, Ufuk Kirik, Ola Engkvist +2
Adoption of recently developed methods from machine learning has given rise to creation of drug-discovery knowledge graphs (KG) that utilize the interconnected nature of the domain…
CT-SGAN: Computed Tomography Synthesis GAN
Ahmad Pesaranghader, Yiping Wang, Mohammad Havaei
Diversity in data is critical for the successful training of deep learning models. Leveraged by a recurrent generative adversarial network, we propose the CT-SGAN model that genera…
Prediction of Large Magnetic Moment Materials With Graph Neural Networks and Random Forests
Sékou-Oumar Kaba, Benjamin Groleau-Paré, Marc-Antoine Gauthier +3
Magnetic materials are crucial components of many technologies that could drive the ecological transition, including electric motors, wind turbine generators and magnetic refrigera…