Λ-conditional flow matching: scale-aware representation learning for cosmology with flow matching

Λ-Conditional Flow Matching learns a hierarchy of representations from cold dark matter simulations. Time-dependent masking separates features by cosmological scale, supporting reconstruction, synthetic field generation, and cosmological parameter estimation with substantially compressed data.