3 papers
cs.LG2026
Temporal Contrastive Transformer for Financial Crime Detection: Self-Supervised Sequence Embeddings via Predictive Contrastive Coding
Danny Butvinik, Yonit Marcus, Nitzan Tal +1
We introduce the Temporal Contrastive Transformer (TCT), a representation learning framework designed to capture contextual temporal dynamics in sequences of financial transactions…
cs.LG2026
Adaptive KDE for Real-Time Thresholding: Prioritized Queues for Financial Crime Investigation
Danny Butvinik, Nana Boateng, Achi Hackmon
We study the problem of converting a continuous stream of risk scores into stable decision thresholds under non-stationary score distributions. This problem arises in a wide range…
cs.SI2025
The Shape of Deceit: Behavioral Consistency and Fragility in Money Laundering Patterns
Danny Butvinik, Ofir Yakobi, Michal Einhorn Cohen +1
Conventional anti-money laundering (AML) systems predominantly focus on identifying anomalous entities or transactions, flagging them for manual investigation based on statistical…