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cs.LG2026
Differentiable Lifting for Topological Neural Networks
Jorge Luiz Franco, Gabriel Duarte, Alexander Nikitin +3
Topological neural networks (TNNs) enable leveraging high-order structures on graphs (e.g., cycles and cliques) to boost the expressive power of message-passing neural networks. In…
cs.LG2025
Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)
Emanuele Luzio, Moacir Antonelli Ponti
Anomaly detection is essential for identifying rare and significant events across diverse domains such as finance, cybersecurity, and network monitoring. This paper presents Synthe…
cs.LG2024
Decoupling Decision-Making in Fraud Prevention through Classifier Calibration for Business Logic Action
Emanuele Luzio, Moacir Antonelli Ponti, Christian Ramirez Arevalo +1
Machine learning models typically focus on specific targets like creating classifiers, often based on known population feature distributions in a business context. However, models…