Sara Magliacane
Scholar

Sara Magliacane

Google Scholar ID: H3j_zQ4AAAAJ
University of Amsterdam
CausalityCausal DiscoveryStatistical relational learningProbabilistic logics
Citations & Impact
All-time
Citations
1,467
 
H-index
15
 
i10-index
20
 
Publications
20
 
Co-authors
69
list available
Resume (English only)
Background
  • Assistant Professor at the Amsterdam Machine Learning Lab, University of Amsterdam
  • ELLIS Scholar in the Interactive Learning and Interventional Representations program
  • Research at the intersection of causality and machine learning
  • Aims to improve AI robustness, generalization across domains/tasks, and safety through causal reasoning
  • Main research directions: causal representation learning, causal discovery, and causality-inspired ML/RL