no code implementations • 3 Jan 2024 • Iker Perez, Jason Wong, Piotr Skalski, Stuart Burrell, Richard Mortier, Derek McAuley, David Sutton
Global financial crime activity is driving demand for machine learning solutions in fraud prevention.
1 code implementation • 3 Jan 2024 • Piotr Skalski, David Sutton, Stuart Burrell, Iker Perez, Jason Wong
Machine learning models underpin many modern financial systems for use cases such as fraud detection and churn prediction.
no code implementations • 14 Feb 2022 • Daniel Murnane, Savannah Thais, Jason Wong
Composing Graph Neural Networks (GNNs) of operations that respect physical symmetries has been suggested to give better model performance with a smaller number of learnable parameters.
1 code implementation • 19 Jul 2021 • Iker Perez, Piotr Skalski, Alec Barns-Graham, Jason Wong, David Sutton
Predictive uncertainties in classification tasks are often a consequence of model inadequacy or insufficient training data.