5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 5 cited
Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences
Piotr Skalski, David Sutton, Stuart Burrell +2
Machine learning models underpin many modern financial systems for use cases such as fraud detection and churn prediction. Most are based on supervised learning with hand-engineere…
cs.CR2024
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems
Iker Perez, Jason Wong, Piotr Skalski +4
Global financial crime activity is driving demand for machine learning solutions in fraud prevention. However, prevention systems are commonly serviced to financial institutions in…