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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.

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1 result for “AutoLip”

Lipschitz regularity of deep neural networks: analysis and efficient estimationstat.ML

Paper investigates Lipschitz constant estimation for deep neural networks.

problem Estimating the robustness and regularity of deep neural networks.

method Developed AutoLip and SeqLip algorithms for efficient estimation of Lipschitz constants.

result Improved estimation methods for Lipschitz constants of deep neural networks.

Lipschitz constant deep neural networks NP-hard AutoLip SeqLip

2018-05-28abs ↗pdf ↗