The paper introduces CLSM as a perspective that frames representation learning as enforcing subsets of coupled constraints including predictive sufficiency, minimality, temporal coherence, observation compatibility, invariance, and structural constraints.
E., Petrie, T., Soules, G
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Constrained latent state modeling: A unifying perspective on representation learning under competing constraints
The paper introduces CLSM as a perspective that frames representation learning as enforcing subsets of coupled constraints including predictive sufficiency, minimality, temporal coherence, observation compatibility, invariance, and structural constraints.