Pinned Repositories
FastPath2020.github.io
FastPath2020 Workshop
FastPath2022
Conference Website for FastPath 2022
TabFormer
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
FastPath2022
Conference Website for FastPath 2022
FastPath2023
AML-Data
The data represents financial transactions -- bank transfers, purchases, credit card transactions, checks, etc. Most of the transactions are legitimate. A few represent money laundering. The data is in CSV format. The data is generated using a multi-agent virtual world model. All of the agents in the virtual world have actions governed by statistical distributions. Thus the model and data are NOT based on obfuscating or anonymizing real individuals. Everything is synthetic. More specifically the underlying model uses a virtual world of banks, individuals, and companies -- with individuals and companies buying items, and doing bank transfers to make payments, get supplies, pay salaries, etc. The underlying model has good and bad actors, with bad actors doing things like smuggling, extortion, illegal gambling, etc. The bad actors sometimes attempt to launder ill-gotten funds resulting in money-laundering transactions. NOTE : Although this repository is under the Apache-2.0 license, the actual data is released under the CDLA-Sharing-1.0 license.
TabFormer
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
ealtman741's Repositories
ealtman741/FastPath2020.github.io
FastPath2020 Workshop
ealtman741/FastPath2022
Conference Website for FastPath 2022
ealtman741/TabFormer
Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)