Research to help build a better financial future

Our researchers undertake fundamental and applied research and use state-of-the-art ML to address some of the biggest challenges facing the financial services industry today and in the future.

Our widely published research covers a broad range of topics including Reinforcement learning, Natural Language Processing and Time Series Modeling. Our resesarch is made freely available to support the AI community.

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Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments
ACM Interactive Surfaces and Spaces (ISS), 2019
Authors: N. Douglas, D. Yim, B. Kartal, P. Hernandez-Leal , M. E. Taylor, F. Maurer
Abstract BibTeX
LayoutVAE: Stochastic Scene Layout Generation from a Label Set
International Conference on Computer Vision (ICCV), 2019
Authors: A. Jyothi, T. Durand , J. He , L. Sigal , G. Mori
Abstract Paper BibTeX
Object Grounding via Iterative Context Reasoning
Workshop on Multi-Discipline Approach for Learning Concepts (ICCV), 2019
Authors: L. Chen, M. Zhai, J. He , G. Mori
Abstract Paper BibTeX
Similarity-Preserving Knowledge Distillation
International Conference on Computer Vision (ICCV), 2019
Authors: F. Tung , G. Mori
Abstract Paper BibTeX
Noise Flow: Noise Modeling with Conditional Normalizing Flows
International Conference on Computer Vision (ICCV), 2019
Authors: A. Abdelhamed, M. Brubaker, M. S. Brown
Abstract Paper BibTeX
Lifelong GAN: Continual Learning for Conditional Image Generation
International Conference on Computer Vision (ICCV), 2019
Authors: *M. Zhai, *L. Chen, F. Tung , J. He , M. Nawhal, G. Mori
* Denotes equal contribution
Abstract Paper BibTeX
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Authors: *B. Kartal, *P. Hernandez-Leal , M. E. Taylor
* Denotes equal contribution
Abstract Paper BibTeX
Action Guidance with MCTS for Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Authors: *B. Kartal, *P. Hernandez-Leal , M. E. Taylor
* Denotes equal contribution
Abstract Paper BibTeX
Agent Modeling as Auxiliary Task for Deep Reinforcement Learning
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Authors: *B. Kartal, *P. Hernandez-Leal , M. E. Taylor
* Denotes equal contribution
Abstract Paper BibTeX
On Hard Exploration for Reinforcement Learning: a Case Study in Pommerman
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2019
Authors: C. Gao, B. Kartal, P. Hernandez-Leal , M. E. Taylor
Abstract Paper BibTeX
On Principled Entropy Exploration in Policy Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Authors: *J. Mei, *C. Xiao, R. Huang, D. Schuurmans, M. Müller
* Denotes equal contribution
Abstract Paper BibTeX