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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Unsupervised Multilingual Alignment using Wasserstein Barycenter
International Joint Conference on Artificial Intelligence (IJCAI), 2020
Authors:
X. Lian,
K. Jain,
J. Truszkowski,
P. Poupart,
Y. Yu
Learning User Representations for Open Vocabulary Image Hashtag Prediction
Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Authors:
T. Durand
Normalizing Flows: An Introduction and Review of Current Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE), 2020
Authors:
I. Kobyzev
,
S. Prince
,
M. Brubaker
On Minimax Optimality of GANs for Robust Mean Estimation
Twenty Third International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Authors:
G. W. Ding
,
R. Huang,
Y. Yu,
K. Wu
Temporally Extended Auxiliary Tasks
Workshop on Adaptive and Learning Agents (AAMAS), 2020
Authors:
C. Sherstan,
B. Kartal,
P. Hernandez-Leal
,
M. E. Taylor
Multi Type Mean Field Reinforcement Learning
International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2020
Authors:
S. Subramanian,
P. Poupart,
M. E. Taylor,
N. Hegde
Max-Margin Adversarial Training: Direct Input Space Margin Maximization through Adversarial Training
International Conference on Learning Representations (ICLR), 2020
Authors:
G. W. Ding
,
Y. Sharma,
K. Lui
,
R. Huang
Representation Learning for Dynamic Graphs: A Survey
Journal of Machine Learning Research (JMLR), 2020
Authors:
M. Kazemi
,
R. Goel,
K. Jain,
I. Kobyzev
,
A. Sethi,
P. Forsyth
,
P. Poupart
Adapting Grad-CAM for Embedding Networks
IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
Authors:
L. Chen,
J. Chen
,
H. Hajimirsadeghi
,
G. Mori
Diachronic Embedding for Temporal Knowledge Graph Completion
Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Authors:
R. Goel,
S. M. Kazemi
,
M. Brubaker
,
P. Poupart