Causality & Representation
Causal reasoning and structured representation learning are key directions toward stronger generalization and more interpretable AI.
Contents:
- Causal Learning — Causal graphs, do-calculus, counterfactual reasoning
- Object-Centric Learning — Object discovery, scene decomposition, relational reasoning
- Neuro-Symbolic AI — Integration of symbolic reasoning and neural networks