Research
Team
Research sits at the core of everyone’s work at Borealis. Cutting-edge research requires diversity of perspectives, tenacity, and creative thinking to fundamentally advance what is possible in Machine Learning. Join our team of approximately 40 researchers with backgrounds across artificial intelligence including computer vision, machine learning, and natural language processing, with PhDs in computer science, physics, computational finance, mathematics and more.
We work with large-scale datasets, derive impactful machine learning models and collaborate with machine learning product owners and software engineers to help bring research and prototypes to life – and reimagine the future of financial services. Together, we published over 50 papers in NeurIPS, ICLR, ICML, ACL, CVPR and other conferences and journals. We also do focused work in areas of AI that stand to generate value across the financial sector and beyond.
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Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning
*B. Kartal, *P. Hernandez-Leal, and M. E. Taylor. AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Publication
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Implicit Manifold Learning on Generative Adversarial Networks
Implicit Manifold Learning on Generative Adversarial Networks
K. Lui, Y. Cao, M. Gazeau, and K. S. Zhang. International Conference on Machine Learning Workshop on Implicit Models (ICML), 2017
Publication