Timur Sattarov
Orcid: 0000-0003-0460-0313
According to our database1,
Timur Sattarov
authored at least 12 papers
between 2017 and 2024.
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Bibliography
2024
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation.
CoRR, 2024
2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the 4th ACM International Conference on AI in Finance, 2023
2022
CoRR, 2022
Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations.
Proceedings of the 3rd ACM International Conference on AI in Finance, 2022
2021
Multi-view contrastive self-supervised learning of accounting data representations for downstream audit tasks.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021
2020
Learning Sampling in Financial Statement Audits using Vector Quantised Autoencoder Neural Networks.
CoRR, 2020
Learning sampling in financial statement audits using vector quantised variational autoencoder neural networks.
Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020
2019
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks.
CoRR, 2019
2017
Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks.
CoRR, 2017