Timur Sattarov

Deutsche Bundesbank — Germany

Computer Science · Physical Sciences

9h-index226citations24works0.72yr avg
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Research Topics

Imbalanced Data Classification Techniques(11), Anomaly Detection Techniques and Applications(9), Stock Market Forecasting Methods(8), Financial Distress and Bankruptcy Prediction(5), Privacy-Preserving Technologies in Data(4)

Publications24 total

Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generation
arXiv (Cornell University)·2025Open Access
Federated Diffusion Modeling With Differential Privacy for Tabular Data Synthesis
2025
Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data
2025· 1 citedOpen Access
Federated Diffusion Modeling with Differential Privacy for Tabular Data Synthesis
arXiv (Cornell University)·2024Open Access
Imb-FinDiff: Conditional Diffusion Models for Class Imbalance Synthesis of Financial Tabular Data
2024· 2 citedOpen Access
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation
arXiv (Cornell University)·2024· 1 citedOpen Access
FinDiff: Diffusion Models for Financial Tabular Data Generation
2023· 26 citedOpen Access
FinDiff: Diffusion Models for Financial Tabular Data Generation
arXiv (Cornell University)·2023· 2 citedOpen Access
Cross-Domain Transformation for Outlier Detection on Tabular Datasets
2023· 3 cited
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations
2022· 9 citedOpen Access
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits
2022· 23 citedOpen Access
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data
arXiv (Cornell University)·2022· 3 citedOpen Access
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations
arXiv (Cornell University)·2022· 1 citedOpen Access
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits
arXiv (Cornell University)·2022· 1 citedOpen Access
Multi-view contrastive self-supervised learning of accounting data representations for downstream audit tasks
2021· 15 cited
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks
arXiv (Cornell University)·2021Open Access
SPIRITUAL AND MORAL EDUCATION OF THE GROWING GENERATION
The Light of Islam·2021
Learning sampling in financial statement audits using vector quantised variational autoencoder neural networks
2020· 16 citedOpen Access
Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks
arXiv (Cornell University)·2020· 2 citedOpen Access
Adversarial Learning of Deepfakes in Accounting
Alexandria (UniSG) (University of St.Gallen)·2019· 11 citedOpen Access
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Frequent Co-authors

Marco Schreyer(20), Damian Borth(19), Bernd Reimer(5), Christian Schulze(2), Anita Gierbl(2), B. Reimer(2), Ricardo Gaspar Müller(2), Dayananda Herurkar(2), J.J. van Hees(2), Andreas Dengel(2), Andreas Dengel(1), Sebastian Palacio(1), Federico Raue(1), Alex Sim(1), Kesheng Wu(1), Marco Schreyer(1), Damian Borth(1), Akmaral A. Batayeva(1), AKBARHAN DAULETALI(1)