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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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0111 · Aug 201419922001200920172026
4 results for LANN

Paper proposes LANN to measure model complexity of neural networks with curve activation functions.

problem Measuring model complexity of neural networks with curve activation functions.
method Proposes LANN, a piecewise linear framework to approximate curve activation functions, and derives complexity measure based on the number of linear regions.
result Demonstrates positive correlation between overfitting and model complexity during training.

We construct analogues of FI-modules where the role of the symmetric group is played by the general linear groups and the symplectic groups over finite rings and prove basic structural properties such as Noetherianity. Applications include a proof of the Lannes--Schwartz Artinian conjecture in the generic representatio…

2014-08-16abs ↗pdf ↗

New computations show symplectic groups and mapping class groups have different properties regarding torsion.

problem Comparing properties of symplectic groups and mapping class groups.
method Using KK-theory, Weil representations, and quantum representations.
result Symplectic groups have uniformly bounded torsion, while mapping class groups have more complex torsion.