TopoFisher optimizes trainable filtrations, vectorizations, and compressors in persistent homology to maximize Fisher information, yielding higher information than fixed cosmological summaries and approaching neural baselines with far fewer parameters while generalizing better under simulator shifts
and Mahanthappa, Kalyana T
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Exact 1-loop corrections from matter loops enhance the decay of gravitational wave mode functions after horizon crossing during inflation, with stronger effects from minimally coupled scalars possibly interpreted as a shift in the Hubble parameter.
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TopoFisher: Learning Topological Summary Statistics by Maximizing Fisher Information
TopoFisher optimizes trainable filtrations, vectorizations, and compressors in persistent homology to maximize Fisher information, yielding higher information than fixed cosmological summaries and approaching neural baselines with far fewer parameters while generalizing better under simulator shifts
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Sensing the Inflationary Production of Scalars
Exact 1-loop corrections from matter loops enhance the decay of gravitational wave mode functions after horizon crossing during inflation, with stronger effects from minimally coupled scalars possibly interpreted as a shift in the Hubble parameter.