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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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48 results for calibrated geometry

Study calibrated geometry in hyperkähler cones and their related spaces.

problem Characterize submanifolds in hyperkähler cones and related spaces.
method Systematic study of calibrated geometry in hyperkähler cones, 3-Sasakian manifolds, and twistor spaces.
result Obtain new characterizations of complex Lagrangian and complex isotropic cones in hyperkähler cones.

In this paper we introduce and study the notion of plurisubharmonic functions in calibrated geometry. These functions generalize the classical plurisubharmonic functions from complex geometry and enjoy many of their important properties. Moreover, they exist in abundance whereas the corresponding pluriharmonics are gen…

2006-01-19abs ↗pdf ↗

We introduce and study the notion of plurisubharmonic functions in calibrated geometry. These functions generalize the classical plurisubharmonic functions from complex geometry and enjoy their important properties. Moreover, they exist in abundance whereas the corresponding pluriharmonics are generally quite scarce. A…

2007-10-21abs ↗pdf ↗

For Hitchin's generalised geometries we introduce and analyse the concept of a structured submanifold which encapsulates the classical notion of a calibrated submanifold. Under a suitable integrability condition on the ambient geometry, these generalised calibrated cycles minimise a functional occurring as D-brane ener…

2006-05-29abs ↗pdf ↗

The paper defines and studies hyperbolicity in calibrated manifolds and derives Schwarz lemmas.

problem Defining and studying hyperbolicity in calibrated manifolds.
method Introducing RφR_φ-hyperbolicity and φφ-hyperbolicity, defining the KR φφ-metric, and deriving Schwarz lemmas.
result Characterization of φφ-hyperbolic domains and extension of Schwarz lemma to calibrated geometries.

The paper presents methods to improve uncertainty calibration in Bayesian Neural Networks.

problem Uncalibrated Bayesian Neural Networks often lead to overconfidence.
method The paper uses alpha-divergences from Information Geometry for calibration.
result Calibration using alpha-divergences provides better uncertainty estimates and is more efficient.

The paper connects hyperbolicity in calibrated geometry to properties of Smith immersions.

problem Hyperbolicity in calibrated manifolds and its relation to Smith immersions.
method Establishes a theorem relating hyperbolicity to the equicontinuity of Smith immersions, proving a new Schwarz lemma.
result Calibrated hyperbolicity of compact φφ-replete manifolds is equivalent to the equicontinuity of Smith immersions.

We describe a family of calibrations arising naturally on a hyperkähler manifold MM. These calibrations calibrate the holomorphic Lagrangian, holomorphic isotropic and holomorphic coisotropic subvarieties. When MM is an HKT (hyperkaehler with torsion) manifold with holonomy SL(n,H)SL(n, {\Bbb H}), we construct another fam…

2010-09-06abs ↗pdf ↗

New calibration energy measures deviation from calibrated geometry, enabling mean curvature flow in infinite volumes.

problem Mean curvature flow in infinite volumes with finite energy.
method Introducing calibration energy and proving its dissipation identity for mean curvature flows.
result Every proper self-expander with finite calibration energy is a plane in all dimensions and codimensions.

Study adiabatic limits of calibrated submanifolds in Riemannian geometry.

problem Understanding the behavior of calibrated submanifolds under adiabatic limits.
method Define a 1-parameter family of forms and study their adiabatic limit, showing it is a generalized calibration.
result Adiabatic calibrated submanifolds are anisotropic minimal in the classical sense.

We provide an introduction to the theory of calibrated submanifolds through the key examples related with special holonomy. We focus on calibrated geometry in Calabi-Yau, G2_2 and Spin(7) manifolds, and describe fundamental results and techniques in the field.

2018-10-19abs ↗pdf ↗

We define 2-calibrated structures, which are analogs of symplectic structures in odd dimensions. We show the existence of differential topological constructions compatible with the structure.

2004-06-25abs ↗pdf ↗

This is a companion note of [Zhaa] (arXiv:1501.01836) where the extension of local calibration pairs of smooth submanifolds is discussed. Here we emphasize on the case of singular submanifolds. More precisely, we study when a calibration pair around the singular set of a submanifold can extend to a local calibration pa…

2015-01-25abs ↗pdf ↗

The paper constructs a lamination related to minimal hypersurfaces calibrated by a cohomology class.

problem Understanding the geometry of stable norm balls constrained by manifold topology.
method Constructing a lamination λρλ_ρ of minimal hypersurfaces calibrated by ρρ.
result Establishes a close analogy between stable norm and earthquake norms.

In a recent paper, Ohta and Townsend studied the conditions which must be satisfied for a configuration of two intersecting M5-branes at angles to be supersymmetric. In this paper we extend this result to any number of M5-branes or any number of M2-branes. This is accomplished by interpreting their results in terms of …

1998-03-31abs ↗pdf ↗

We revisit McLean's second variation formulas for calibrated submanifolds in exceptional geometries, and correct his formulas concerning associative submanifolds and Cayley submanifolds, using a unified treatment based on the (relative) calibration method and Harvey-Lawson's identities.

2016-05-04abs ↗pdf ↗

Given a transportation cost c:M×MˉRc: M \times\bar M \to\mathbf{R}, optimal maps minimize the total cost of moving masses from MM to Mˉ\bar M. We find a pseudo-metric and a calibration form on M×MˉM\times\bar M such that the graph of an optimal map is a calibrated maximal submanifold. We define the mass of space-like current…

2009-07-28abs ↗pdf ↗

We lay down an elementary yet fundamental lemma concerning a finite algebraicness property of a smooth map from an Azumaya/matrix manifold with a fundamental module to a smooth manifold. This gives us a starting point to build a synthetic (synonymously, CC^{\infty}-algebraic) symplectic geometry and calibrated geometr…

2015-04-08abs ↗pdf ↗

Generative model calibrates 3D battery cathode morphologies from 2D images.

problem Calibrate 3D morphologies of all-solid-state battery cathodes from 2D microscopy images.
method Combining GANs with excursion sets of Gaussian random fields.
result Calibrated digital twins enable systematic exploration of morphological scenarios.

Develops geometric framework for uncertainty-aware multi-class classification.

problem Silent failure of AI models when uncertain, especially in multi-class settings.
method Geometric framework treating probability vectors as points on the (c1)(c-1)-dimensional probability simplex, using Fisher--Rao metric for calibration and uncertainty quantification.
result Empirical validation shows 72.5% of errors captured while deferring 34.5% of ambiguous predictions, reducing automated decision error rates from 16.8% to 6.9%.

We systematically analyse the necessary and sufficient conditions for the preservation of supersymmetry for bosonic geometries of the form R^{1,9-d} \times M_d, in the common NS-NS sector of type II string theory and also type I/heterotic string theory. The results are phrased in terms of the intrinsic torsion of G-str…

2003-02-19abs ↗pdf ↗

We present a survey of the calibrated geometries arising in the study of the local singularity structure of supersymmetric fivebranes in M-theory. We pay particular attention to the geometries of 4-planes in eight dimensions, for which we present some new results as well as many details of the computations. We also ana…

1998-06-04abs ↗pdf ↗

The paper constructs non-Riemannian Einstein solutions on S2imesT2S^2 imes T^2 using cohomologically calibrated affine connections.

problem Constructing non-Riemannian Einstein manifolds on S2imesT2S^2 imes T^2.
method Using cohomologically calibrated affine connections and analyzing the torsion tensor within the family Tω\mathcal{T}_ω.
result Explicit non-Riemannian Einstein solutions are constructed using a torsion tensor associated with the purelly harmonic 3-form.

This paper presents a new classification methods for Event Related Potentials (ERP) based on an Information geometry framework. Through a new estimation of covariance matrices, this work extend the use of Riemannian geometry, which was previously limited to SMR-based BCI, to the problem of classification of ERPs. As co…

2014-08-30abs ↗pdf ↗

BoC probe assesses neural network confidence coherence, revealing architecture-specific uncertainty.

problem Poor calibration and OOD detection in neural networks.
method Bag-of-Coins (BoC) probe compares softmax confidence to pairwise dominance probabilities.
result BoC reveals clear ID/OOD separation for some architectures but not others.

Bayesian models for networks are often misspecified, leading to overconfident inference.

problem Real-world networks violate assumptions of geometry and link function in latent space models.
method Proposes a generalized posterior framework for random geometric graphs, using Link-Sequential R-SafeBayes to adaptively tune posterior regularization.
result Improved calibration and better link prediction performance demonstrated on synthetic and real-world networks.

In this paper we give a survey of various results about the topology of oriented Grassmannian bundles related to the exceptional Lie group G_2. Some of these results are new. We give self-contained proofs here. One often encounters these spaces when studying submanifolds of manifolds with calibrated geometries. For the…

2013-08-10abs ↗pdf ↗

Bayesian neural networks improve uncertainty calibration without sacrificing accuracy.

problem Bayesian neural networks struggle with uncertainty calibration and high-dimensional geometry.
method Model uncertainty only in weight directions using a von Mises-Fisher posterior on the unit sphere, deriving a compact KL term.
result A lightweight, dimension-aware variational unit improves calibration without sacrificing accuracy.

Develops certificates for local population-risk increments using cross-fitted ridge calibration.

problem Certifying local population-risk increments in statistical models.
method Cross-fitted ridge calibration for linear feature classes, separating Taylor fluctuations and remainders.
result Certifies measurable updates from the same sample with penalties dependent on empirical geometry.

In this paper we investigate the geometry of Calibrated submanifolds and study relations between their moduli-space and geometry of the ambient manifold. In particular for a Calabi-Yau manifold we define Special Lagrangian submanifolds for any Kahler metric on it. We show that for a choice of Kahler metric the Borcea-V…

1999-11-13abs ↗pdf ↗

The field of multiple view geometry has seen tremendous progress in reconstruction and calibration due to methods for extracting reliable point features and key developments in projective geometry. Point features, however, are not available in certain applications and result in unstructured point cloud reconstructions.…

2016-04-27abs ↗pdf ↗

Proposes a new method for multi-class classification with well-calibrated predictions.

problem Improving the accuracy and reliability of multi-class classification models.
method Trains data in a latent space induced by an (n1)(n-1)-dimensional simplex, then extends and fits a regression model.
result Demonstrates a well-calibrated classifier with improved prediction and calibration properties.

The study analyzes Dirac operators twisted by specific bundles, revealing their geometric and regularity properties.

problem Analyzing Dirac operators twisted by ramified Euclidean line bundles.
method Describes closed extensions of Dirac operators in terms of Gelfand-Robbin quotient, constructs geometric realizations, and develops an L2L^2 regularity theory.
result Geometric realizations of the Gelfand-Robbin quotient and an L2L^2 regularity theory are constructed.

The exceptional holonomy groups are G2 in 7 dimensions, and Spin(7) in 8 dimensions. Riemannian manifolds with these holonomy groups are Ricci-flat. This is a survey paper on exceptional holonomy, in two parts. Part I introduces the exceptional holonomy groups, and explains constructions for compact 7- and 8-manifolds …

2004-06-01abs ↗pdf ↗