Search Results for author:
Found 4 papers, 2 papers with code
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems
Global financial crime activity is driving demand for machine learning solutions in fraud prevention.
Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences
Machine learning models underpin many modern financial systems for use cases such as fraud detection and churn prediction.
Semi-Equivariant GNN Architectures for Jet Tagging
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.
Attribution of Predictive Uncertainties in Classification Models
Predictive uncertainties in classification tasks are often a consequence of model inadequacy or insufficient training data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
