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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Improving Reinforcement Learning with Human Input
International Joint Conference on Artificial Intelligence (IJCAI), 2018
Authors:
M. E. Taylor
Improving GAN Training via Binarized Representation Entropy (BRE) Regularization
International Conference on Learning Representations (ICLR), 2018
Authors:
Y. Cao
,
G. W. Ding
,
K. Lui
,
R. Huang
Min-Max Propagation
Neural Information Processing Systems (NIPS), 2017
Authors:
C. Srinivasa
,
I. Givoni,
S. Ravanbahksh,
B. J. Frey