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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.

168,695 papers · 148 categories

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2 results for “CFlows”

Universality of parametric Coupling Flows over parametric diffeomorphismscs.LG

Paper proves CFlows can approximate any diffeomorphism and applies it in Bayesian optimization.

problem Proving the universality of CFlows in approximating diffeomorphisms.

method Deriving the universality of Para-CFlows through affine coupling layers and invertible linear transforms.

result Para-CFlows can approximate any diffeomorphism in C^k-norm.

CFlows diffeomorphisms approximation Bayesian optimization neural networks

2022-02-07abs ↗pdf ↗

Uncertainty quantification in medical image segmentation with normalizing flowsstat.ML

A new model improves medical image segmentation uncertainty.

problem Uncertainty in medical image segmentation.

method Conditional Normalizing Flow (cFlow) for improved segmentation uncertainty.

result Improved quality and diversity of segmentation samples.

Medical image segmentation Uncertainty quantification Conditional Normalizing Flow cVAE Generative model

2020-06-04abs ↗pdf ↗