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
Tidal alignment of galaxies
2 Pith papers cite this work. Polarity classification is still indexing.
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Inverting Fisher biases enables quick checks on whether specific systematics explain cosmological tensions.
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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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Inverting Fisher biases for fast systematics exploration
Inverting Fisher biases enables quick checks on whether specific systematics explain cosmological tensions.