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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.

169,291 papers · 148 categories

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1122 · Oct 201619922001200920182026
11 results for θ-landslide

Unified model estimates landslide hazard combining susceptibility, intensity, and frequency.

problem Lack of unified statistical models for landslide hazard estimation.
method Deep learning combined with extreme-value theory.
result Model performs excellently and can estimate hazard for multiple return periods.

The landslide flow, introduced in [5], is a smoother analog of the earthquake flow on Teichmüller space which shares some of its key properties. We show here that further properties of earthquakes apply to landslides. The landslide flow is the Hamiltonian flow of a convex function. The smooth grafting map sgrsgr taking …

2012-08-08abs ↗pdf ↗

The study connects curves in Anti-de Sitter space to hyperbolic plane diffeomorphisms.

problem Understanding the geometry of curves in Anti-de Sitter space.
method Using a correspondence between spacelike surfaces and area-preserving diffeomorphisms of the hyperbolic plane.
result Every quasisymmetric homeomorphism of the circle admits a unique extension as a θ-landslide of the hyperbolic plane.

Study on curvature bounds for specific hypersurfaces in Anti-de Sitter space.

problem Bounding principal curvatures of constant mean curvature hypersurfaces.
method Generalized convex hull concept and quantitative estimates based on width.
result Explicit bounds on sectional curvature and quasiconformal dilatation.

Researchers prove unique foliation of AdS space-time with constant Gauss curvature surfaces.

problem Proving unique foliation of AdS space-time with constant Gauss curvature surfaces.
method Analyzing convex globally hyperbolic maximal AdS 3-dimensional spaces with particles.
result A unique foliation by constant Gauss curvature surfaces in the complement of the convex core.

Real-time event detection using human sensor data and adaptive machine learning.

problem Lack of effective real-time event detection using human sensor data.
method Combination of corroborative and probabilistic sources with drift adaptive machine learning.
result Automated continuous learning maintains high performance in the face of concept drift.

Study immersions of surfaces into SL(2,C) with geometric applications.

problem Understanding immersions of surfaces into holomorphic Riemannian space forms.
method Introduced first and second fundamental forms, proved Gauss-Codazzi equations, and constructed equivariant maps.
result Holomorphic families of immersion data correspond to holomorphic immersions, providing a model for transitioning hypersurfaces.