Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
When Should Graph Attention Be Sparse? Learning a Per-Edge Tsallis Index
Kleyton da Costa, Bernardo Modenesi
Graph attention normalizes neighborhood scores with softmax, the maximum-entropy choice under Shannon statistics. But homophilic and heterophilic graphs want different attention sh…
cs.LG2026
Generalized Machine Learning for Fast Calibration of Agent-Based Epidemic Models
Sima Najafzadehkhoei, George Vega Yon, Derek S. Meyer +1
Agent-based models (ABMs) are widely used to study infectious disease dynamics, but their calibration is often computationally intensive, limiting their applicability in time-sensi…
cs.LG2024
Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic Metrics
Cristian Munoz, Kleyton da Costa, Bernardo Modenesi +1
The rapid integration of artificial intelligence (AI) into various industries has introduced new challenges in governance and regulation, particularly regarding the understanding o…