Marco Schreyer

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 18

Top Topics

Data Generation

Diffusion Models

Top Venues

Publications

Kristófer Reynisson, Marco Schreyer, Damian Borth
GraphGuard: Contrastive Self-Supervised Learning for Credit-Card Fraud Detection in Multi-Relational Dynamic Graphs. CoRR (2024)
Timur Sattarov, Marco Schreyer, Damian Borth
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation. CoRR (2024)
Timur Sattarov, Marco Schreyer, Damian Borth
FinDiff: Diffusion Models for Financial Tabular Data Generation. CoRR (2023)
Timur Sattarov, Marco Schreyer, Damian Borth
FinDiff: Diffusion Models for Financial Tabular Data Generation. ICAIF (2023)
Marco Schreyer, Timur Sattarov, Damian Borth
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. ICAIF (2022)
Marco Schreyer, Timur Sattarov, Damian Borth
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits. CoRR (2022)
Ricardo Müller, Marco Schreyer, Timur Sattarov, Damian Borth
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations. CoRR (2022)
Ricardo Müller, Marco Schreyer, Timur Sattarov, Damian Borth
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations. ICAIF (2022)
Marco Schreyer, Hamed Hemati, Damian Borth, Miklos A. Vasarhelyi
Federated Continual Learning to Detect Accounting Anomalies in Financial Auditing. CoRR (2022)
Hamed Hemati, Marco Schreyer, Damian Borth
Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data. CoRR (2021)
Marco Schreyer, Timur Sattarov, Damian Borth
Multi-view contrastive self-supervised learning of accounting data representations for downstream audit tasks. ICAIF (2021)
Marco Schreyer, Timur Sattarov, Damian Borth
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks. CoRR (2021)
Marco Schreyer, Timur Sattarov, Anita Gierbl, Bernd Reimer, Damian Borth
Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks. CoRR (2020)
Marco Schreyer, Christian Schulze, Damian Borth
Leaking Sensitive Financial Accounting Data in Plain Sight using Deep Autoencoder Neural Networks. CoRR (2020)
Marco Schreyer, Timur Sattarov, Anita Gierbl, Bernd Reimer, Damian Borth
Learning sampling in financial statement audits using vector quantised variational autoencoder neural networks. ICAIF (2020)
Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth
Adversarial Learning of Deepfakes in Accounting. CoRR (2019)
Marco Schreyer, Timur Sattarov, Christian Schulze, Bernd Reimer, Damian Borth
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks. CoRR (2019)
Marco Schreyer, Timur Sattarov, Damian Borth, Andreas Dengel, Bernd Reimer
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks. CoRR (2017)
Joost van Beusekom, Marco Schreyer, Thomas M. Breuel
Automatic counterfeit protection system code classification. Media Forensics and Security (2010)
Marco Schreyer
Intelligent Printing Technique Recognition and Photocopy Detection for Forensic Document Examination. Informatiktage (2009)
Christian Schulze, Marco Schreyer, Armin Stahl, Thomas M. Breuel
Using DCT Features for Printing Technique and Copy Detection. IFIP Int. Conf. Digital Forensics (2009)
Christian Schulze, Marco Schreyer, Armin Stahl, Thomas M. Breuel
Evaluation of Graylevel-Features for Printing Technique Classification in High-Throughput Document Management Systems. IWCF (2008)