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 research is made freely available to support the AI community.

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Maximum Entropy Monte-Carlo Planning
Neural Information Processing Systems (NeurIPS), 2019
Authors: C. Xiao, R. Huang, J. Mei, D. Schuurmans, M. Müller
Abstract Paper BibTeX
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
Neural Information Processing Systems (NeurIPS), 2019
Authors: B. Wang, N. Hegde
Abstract Paper BibTeX Blog
Arbitrarily-conditioned Data Imputation
2nd Symposium on Advances in Approximate Bayesian Inference (AABI), 2019
Authors: M. Carvalho, T. Durand, J. He, N. Mehrasa, G. Mori
Abstract Paper BibTeX
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