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.
On lines and planes of closest fit to systems of points in space
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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.