Learning a clipped SPD spectrum on top of a Stiefel basis improves fixed-spectrum Stiefel layers when an orthonormal prior is useful, especially in recurrent LM projections.
Bartlett and Shahar Mendelson
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ManifoldFlow: SPD-Relaxed Stiefel Layers with Learnable Singular Spectrum
Learning a clipped SPD spectrum on top of a Stiefel basis improves fixed-spectrum Stiefel layers when an orthonormal prior is useful, especially in recurrent LM projections.