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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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2 results for “CF-INNs”
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximatorscs.LG

CF-INNs can approximate any invertible function, resolving a long-standing problem.

problem Whether CF-INNs can approximate any invertible function.
method Demonstrated CF-INNs are universal approximators for invertible functions by showing a convenient criterion.
result CF-INNs are universal approximators for invertible functions.
CF-INNsinvertible neural networksuniversal approximatorsaffine couplingdiffeomorphism
2020-06-20abs ↗pdf ↗
Universal approximation property of invertible neural networkscs.LG

INNs can approximate diverse functions despite layer restrictions.

problem Can INNs approximate sufficiently diverse functions?
method Developed a theoretical framework based on differential geometry to simplify the approximation problem of diffeomorphisms.
result INNs have the universal approximation property.
invertible neural networksuniversal approximationdifferential geometryrepresentation powermachine learning applications
2022-04-15abs ↗pdf ↗