3 papers
cs.LG2026
BayPrAnoMeta: Bayesian Proto-MAML for Few-Shot Industrial Image Anomaly Detection
Soham Sarkar, Tanmay Sen, Sayantan Banerjee
Industrial image anomaly detection is a challenging problem owing to extreme class imbalance and the scarcity of labeled defective samples, particularly in few-shot settings. We pr…
cs.LG2026
FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling
Sultan Amed, Tanmay Sen, Sayantan Banerjee
Credit risk models are a critical decision-support tool for financial institutions, yet tightening data-protection rules (e.g., GDPR, CCPA) increasingly prohibit cross-border shari…
cs.LG2025
PDx -- Adaptive Credit Risk Forecasting Model in Digital Lending using Machine Learning Operations
Sultan Amed, Chan Yu Hang, Sayantan Banerjee
This paper presents PDx, an adaptive, machine learning operations (MLOps) driven decision system for forecasting credit risk using probability of default (PD) modeling in digital l…