At Borealis AI, we create real-world impact through scientific pursuit. Borealis AI researches, designs, and builds AI products and technologies that transform RBC businesses and shape the future of finance.
Research Publications
& Tutorials
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Out-of-distribution II: open-set recognition, OOD labels, and outlier detection
Out-of-distribution II: open-set recognition, OOD labels, and outlier detection
S. Prince.
Research
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Not Too Close and Not Too Far Enforcing Monotonicity Requires Penalizing The Right Points
Not Too Close and Not Too Far Enforcing Monotonicity Requires Penalizing The Right Points
J. Monteiro, M. O. Ahmed, H. Hajimirsadeghi, and G. Mori. NeurIPS Workshop on eXplainable AI Approaches for Debugging and Diagnosis, 2021
Publication
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Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
Y. Gong, H. Hajimirsadeghi, J. He, T. Durand, and G. Mori. International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Publication
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Stay Positive: Knowledge Graph Embedding Without Negative Sampling
Stay Positive: Knowledge Graph Embedding Without Negative Sampling
A. Hajimoradlou, and S. M. Kazemi. International Conference on Machine Learning Workshop on Graph Representation Learning and Beyond (ICML), 2022
Publication
RESPECT AI™
Responsible AI is key to the future of AI technology, science, development, and adoption. Our RESPECT AI platform contributes knowledge, algorithms, programs, and tooling to help build technology that moves society forward.
Fellowships Program
Supporting academic research sits at the core of Borealis AI. Our Fellowship program supports graduate students’ research and career goals, helping advance the science of AI in Canada and globally.