Research

North Star
Research Areas

We focus on a set of challenging North Star research problems: Asynchronous Temporal Models, Non-Cooperative Learning in Competing Markets, and Causal Machine Learning from Observational Data.

Publications

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  • Efficient Queries Transformer Neural Processes

    Efficient Queries Transformer Neural Processes

    L. Feng, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2022

    Publication

  • Gumbel-Softmax Selective Networks

    Gumbel-Softmax Selective Networks

    M. Salem, M. O. Ahmed, F. Tung, and G. Oliveira. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2022

    Publication

  • Training a Vision Transformer from scratch in less than 24 hours with 1 GPU

    Training a Vision Transformer from scratch in less than 24 hours with 1 GPU

    S. Irandoust, T. Durand, Y. Rakhmangulova, W. Zi, and H. Hajimirsadeghi. Workshop at Conference on Neural Information Processing Systems (NeurIPS), 2022

    Publication

  • TD-GEN: Graph Generation With Tree Decomposition

    TD-GEN: Graph Generation With Tree Decomposition

    Hamed Shirzad, H. Hajimirsadeghi, A. Abdi, and G. Mori. International Conference on Artificial Intelligence and Statistics (AISTATS), 2022

    Publication

Academic Partnerships

Our partnerships enable us to benefit from the latest in academia and transform that knowledge into real-world impact.

Let’s SOLVE It

New and diverse perspectives, awareness of challenges specific to local communities, and commitment to making a difference are needed today more than ever. Let’s SOLVE it is a Borealis AI mentorship program for undergraduate students on a mission to solve real problem in their communities using AI. Let’s SOLVE it together.

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Fellowships

Research interns work with all our teams, collaborate with RBC on large-scale projects, and publish original research.

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Internships

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.

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