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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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17345067 · May 202619922001200920182026
48 results for concrete bridges

Meta-learning approach improves CNN architectures for concrete defect classification.

problem Challenging task of recognizing defects in concrete infrastructure.
method Two reinforcement learning based meta-learning approaches (MetaQNN and NAS) for finding suitable CNN architectures.
result Learned architectures have fewer parameters and better multi-target accuracy.

The study counts ideal points in 2-bridge knot complements using knot diagrams.

problem Counting ideal points in 2-bridge knot complements.
method Using knot diagrams, the structure of Serre trees for essential surfaces is determined, leading to a formula for ideal points.
result A formula for the number of ideal points associated with each incompressible surface in 2-bridge knot complements.

We consider how the problem of determining normal forms for a specific class of nonholonomic systems leads to various interesting and concrete bridges between two apparently unrelated themes. Various ideas that traditionally pertain to the field of algebraic geometry emerge here organically in an attempt to elucidate t…

2014-09-08abs ↗pdf ↗

Study uses machine learning to predict optimal bridge types based on NBI data.

problem Improving bridge design selection through machine learning.
method Supervised learning on modified NBI dataset, feature selection, cross-validation, state-specific models.
result Supervised learning models predict optimal bridge types with high accuracy.

Paper proposes a holistic optimization for civil structures considering uncertainties.

problem Designing civil structures requires integration of material and structural design.
method Holistic optimization combining concrete mixture design and structural simulations.
result Inverted workflow allows consideration of new mixtures and uncertainties.

This is a survey paper, starting from the general notion of coordinate bundle taken from Steenrod. Its aim is to provide a motivation for the introduction of cyclic homology (and the closely related noncommutative de Rham cohomology) by Connes, Tsygan and the author. The bridge is made through a generalization of Chern…

2005-10-04abs ↗pdf ↗

We study the twisted knot module for the universal deformation of an SL2{\rm SL}_2-representation of a knot group, and introduce an associated LL-function, which may be seen as an analogue of the algebraic pp-adic LL-function associated to the Selmer module for the universal deformation of a Galois representation. We…

2015-06-01abs ↗pdf ↗

While statistics focusses on hypothesis testing and on estimating (properties of) the true sampling distribution, in machine learning the performance of learning algorithms on future data is the primary issue. In this paper we bridge the gap with a general principle (PHI) that identifies hypotheses with best predictive…

2008-09-08abs ↗pdf ↗

This monograph derives direct and concrete relations between colored Jones polynomials and the topology of incompressible spanning surfaces in knot and link complements. Under mild diagrammatic hypotheses that arise naturally in the study of knot polynomial invariants (A- or B-adequacy), we prove that the growth of the…

2011-08-16abs ↗pdf ↗

The paper introduces new measures for quantifying uncertainty in machine learning.

problem Uncertainty representation and quantification in machine learning.
method Proper scoring rules for aleatoric and epistemic uncertainty quantification.
result Established a natural bridge between credal set and second-order distribution representations of uncertainty.

Constructing exponential families from statistical manifolds.

problem The central problem of constructing exponential families from statistical manifolds.
method Constructive approach proving every compact statistical manifold admits a foliation of Hessian manifolds.
result Compact orientable leaves are either finite quotients of flat torus or mapping torus with periodic monodromy.

Concrete autoencoder selects key features for efficient data reconstruction.

problem Efficiently identifying and selecting important features for data reconstruction.
method Concrete selector layer with temperature-controlled selection during training, followed by reconstruction using a standard neural network.
result Concrete autoencoder selects a small subset of genes that can reconstruct the remaining gene expression levels, improving on existing methods.

Concrete distribution relaxes discrete variables for gradient-based optimization.

problem Gradient-based optimization of discrete random variables.
method Concrete distribution as a continuous relaxation of discrete variables, enabling reparameterization and gradient computation.
result Concrete distribution allows for low-variance biased gradients in discrete stochastic nodes.

Paper proposes an algorithm for lifelong learning with shared structure.

problem Lifelong learning with shared structure in an online setting.
method Proposes a simple algorithm using multi-task empirical risk minimization.
result Establishes a sample complexity bound based on task-eluder dimension.

Paper introduces Floer theory for field theories, proving periodic solutions for particle-field systems.

problem Defining Hamiltonian Floer theory for covariant field theories, especially those with degenerate action functionals.
method Regularization procedure to handle degeneracy, leading to Floer curves that converge to periodic solutions.
result Existence of Floer curves and space-time periodic solutions for coupled particle-field systems.

Study on knot diagrams showing bridge number can differ from crossing number.

problem Incompatibility between crossing number and bridge number for knot diagrams.
method Defined and compared various bridge number computations for knot diagrams, studied minimizing diagrams, and constructed families of minimal crossing diagrams.
result Found examples where bridge number differs from crossing number, and demonstrated this difference can grow infinitely.

The paper provides examples of keen weakly reducible bridge spheres for links in b-bridge position.

problem Characterizing and finding examples of keen weakly reducible bridge spheres.
method Analyzing bridge spheres and their properties in terms of compressing disks and width complex.
result Infinitely many examples of keen weakly reducible bridge spheres for links in b-bridge position.

Suppose a knot in a 33-manifold is in nn-bridge position. We consider a reduction of the knot along a bridge disk DD and show that the result is an (n1)(n-1)-bridge position if and only if there is a bridge disk EE such that (D,E)(D, E) is a cancelling pair. We apply this to an unknot KK, in nn-bridge position with re…

2016-06-23abs ↗pdf ↗

We show that if KK is a knot in S3S^3 and ΣΣ is a bridge sphere for KK with high distance and 2n2n punctures, the number of perturbations of KK required to interchange the two balls bounded by ΣΣ via an isotopy is nn. We also construct a knot with two different bridge spheres with 2n2n and 2n12n-1 bridges respecti…

2009-08-25abs ↗pdf ↗

Paper explores link and plat presentations, showing equivalence under bridge isotopy.

problem Relationship between links in bridge position and plat presentations.
method Established equivalence between Hilden double coset classes of plat presentations and bridge positions up to isotopy.
result Revealed equivalence of Hilden double coset classes for n-bridge unknot and torus knots in plat position.

Explains how Higgs bundles help study Fuchsian representations on surfaces.

problem Understanding components of character varieties for Fuchsian representations.
method Theory of Higgs bundles, focusing on real groups and their subtleties.
result Characterizes deformation spaces of Fuchsian representations using Higgs bundles.