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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…