research
∙
09/04/2023
FinDiff: Diffusion Models for Financial Tabular Data Generation
The sharing of microdata, such as fund holdings and derivative instrumen...
share
research
∙
09/21/2022
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data
Recent advances in Explainable AI (XAI) increased the demand for deploym...
research
∙
09/19/2022
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations
Detecting accounting anomalies is a recurrent challenge in financial sta...
research
∙
08/26/2022
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits
The ongoing 'digital transformation' fundamentally changes audit evidenc...
research
∙
09/23/2021
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks
International audit standards require the direct assessment of a financi...
research
∙
08/06/2020
Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks
The audit of financial statements is designed to collect reasonable assu...
research
∙
10/09/2019
Adversarial Learning of Deepfakes in Accounting
Nowadays, organizations collect vast quantities of accounting relevant t...
research
∙
08/02/2019
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks
The detection of fraud in accounting data is a long-standing challenge i...
research
∙
09/15/2017
