Research
On-device research index

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.

168,695 papers · 148 categories

Trend · papers per month

25.0%50.0%75.0%100.0% · Feb 199419922001200920172026
48 results for interval maps

MAPS algorithm creates reliable prediction intervals for high-dimensional data.

problem Computing reliable conditional prediction intervals in high-dimensional settings.
method Lifted predictive model (LPM) and MAPS algorithm for distribution-free intervals.
result MAPS algorithm produces valid prediction intervals for any trained model.

Construct pseudo-Anosovs from expanding interval maps, reconciling Thurston's construction.

problem Constructing pseudo-Anosov homeomorphisms from expanding interval maps.
method Classifying circumstances for constructing pseudo-Anosovs from a specific subclass of generalized pseudo-Anosovs.
result Produces pseudo-Anosovs on surfaces of genus gg with algebraically primitive translation structures and Salem dilatations.

Extends Fisher's Discriminant Analysis for interval-valued data.

problem Classifying entities represented by intervals and histograms.
method Adapts Fisher's Discriminant Analysis using Moore's interval arithmetic and Mallows' distance.
result Discriminant directions for interval-valued data are numerically maximized.

In [Mas82] and [Vee78] it was proved independently that almost every interval exchange transformation is uniquely ergodic. The Birkhoff ergodic theorem implies that these maps mainly have uniformly distributed orbits. This raises the question under which conditions the orbits yield low-discrepancy sequences. The case o…

2017-11-20abs ↗pdf ↗

We exhibit families of Ricci-flat Kahler metrics on K3 surfaces which collapse to an interval, with Tian-Yau and Taub-NUT metrics occurring as bubbles. There is a corresponding continuous surjective map from the K3 surface to the interval, with regular fibers diffeomorphic to either 3-tori or Heisenberg nilmanifolds.

2018-07-24abs ↗pdf ↗

A natural generalization of interval exchange maps are linear involutions, first introduced by Danthony and Nogueira. Recurrent train tracks with a single switch provide a subclass of linear involutions. We call such linear involutions non-classical interval exchanges. They are related to measured foliations on orienta…

2009-06-14abs ↗pdf ↗

We prove that a continuum XX is tree-like (resp. circle-like, chainable) if and only if for each open cover $\U_4=\{U_1,U_2,U_3,U_4\}$ of XX there is a $\U_4$-map f:XYf:X\to Y onto a tree (resp. onto the circle, onto the interval). A continuum XX is an acyclic curve if and only if for each open cover $\U_3=\{U_1,U_2,U…

2010-03-28abs ↗pdf ↗

Stochastic gradient Langevin dynamics (SGLD) is a computationally efficient sampler for Bayesian posterior inference given a large scale dataset. Although SGLD is designed for unbounded random variables, many practical models incorporate variables with boundaries such as non-negative ones or those in a finite interval.…

2019-03-07abs ↗pdf ↗

We study the J-flow on the toric manifolds, through study the transition map between the moment maps induced by two Kähler metrics, which is a diffeomorphism between polytopes. This is similar to the work of Fang-Lai, under the assumption of Calabi symmetry, they study the monotone map between two intervals. We get a p…

2014-07-04abs ↗pdf ↗

The paper constructs braiding structures for a specific subfactor.

problem The challenge is to understand the braiding structures of a Jones-Wassermann subfactor.
method The approach involves constructing braiding structures on the multi-interval Jones-Wassermann subfactor planar algebra.
result The braiding structures induce a projective unitary representation of the balanced superelliptic mapping class group.

In topological data analysis, persistent homology is used to study the "shape of data". Persistent homology computations are completely characterized by a set of intervals called a bar code. It is often said that the long intervals represent the "topological signal" and the short intervals represent "noise". We give ev…

2019-05-30abs ↗pdf ↗

Researchers extend regularity of pp-harmonic maps into spheres for a new range of pp.

problem Establishing regularity of pp-harmonic maps for a broader range of pp.
method Combining Morrey's methods with Hardt and Lin's Extension Theorem, and proving a sharp Kato inequality.
result Regularity for p[2.961,3]p \in [2.961, 3] and p[2,p0]p \in [2, p_0] with p02.366p_0 \approx 2.366.

Study of SL(2,R) representations on a once-punctured torus, showing Cantor set spectrum.

problem Characterizing SL(2,R) representations on a once-punctured torus.
method Introduction of spectrum as a subset of projective measured laminations, analysis of dynamics of cocycles.
result Spectrum of a generic representation on a once-punctured torus is a Cantor set.

VLM judges rank well but score poorly; task difficulty and annotation quality affect interval width.

problem VLMs as judges lack reliability indicators in multimodal evaluations.
method Conformal prediction using score-token log-probabilities.
result Evaluation uncertainty is task-dependent, affecting interval width and reliability.

It is proved that for every fractal continuous mapping F: I\to I^2 of the unit interval onto the unit square there is a pair of points x,y\in I, such that |F(x)-F(y)|^2\ge 5|x-y|.

2004-04-29abs ↗pdf ↗

In this paper, we prove that a metric measure space which has at least one open set isometric to an interval, and for which the (possibly non-unique) optimal transport map exists from any absolutely continuous measure to an arbitrary measure, is a one-dimensional manifold (possibly with boundary). As an immediate corol…

2019-12-03abs ↗pdf ↗

The family of translation surfaces (Xg,ωg)(X_g,ω_g) constructed by Arnoux and Yoccoz from self-similar interval exchange maps encompasses one example from each genus gg greater than or equal to 33. We triangulate these surfaces and deduce general properties they share. The surfaces (Xg,ωg)(X_g,ω_g) converge to a surface $(X_\i…

2010-11-02abs ↗pdf ↗

A generic smooth map of a closed 2k2k-manifold into (3k1)(3k-1)-space has a finite number of cusps (Σ1,1Σ^{1,1}-singularities). We determine the possible numbers of cusps of such maps. A fold map is a map with singular set consisting of only fold singularities (Σ1,0Σ^{1,0}-singularities). Two fold maps are fold bordant if the…

2007-01-16abs ↗pdf ↗

We establish a criterion for certain mapping classes of a surface homeomorphisms to be pseudo-Anosov in terms of the geometry of hyperbolic 3-manifolds and Gromov-hyperbolic surface group extensions. Specifically, any element of the fundamental group of a surface S gives rise to a mapping class on the punctured surface…

2012-08-13abs ↗pdf ↗

Develops adiabatic theory for ACW flow on surfaces.

problem Evolution of large closed surfaces under area-constrained Willmore flow.
method Constructs a map on a four-dimensional manifold of barycenters to characterize ACW flow dynamics.
result Explicit four-dimensional effective dynamics of barycenters serves as an asymptotic approximation for ACW flow.

New bicombings found for mapping class groups and Teichmüller spaces.

problem Finding efficient ways to navigate mapping class groups and Teichmüller spaces.
method Explained bicombings via stable cubical intervals in hierarchically hyperbolic spaces.
result Hierarchical hulls are quasi-isometric to finite CAT(0) cube complexes.

The paper connects Nahm's equations to rational maps between projective spaces.

problem Solving Nahm's equations with specific boundary conditions.
method Identifying moduli spaces with spaces of rational maps and using symplectic geometry.
result Dimensions of rational maps correspond to holomorphic charge.

Let S S be a hyperbolic surface. We investigate the topology of the space of all curves on S S which start and end at given points in given directions, and whose curvatures are constrained to lie in a given interval (κ1,κ2) (κ_1,κ_2) . Such a space falls into one of four qualitatively distinct classes, according to whet…

2016-11-28abs ↗pdf ↗

The forcing relation of braids has been introduced for a 2-dimensional analogue of the Sharkovskii order on periods for maps of the interval. In this paper, by making use of the Nielsen fixed point theory and a representation of braid groups, we deduce a trace formula for the computation of the forcing order.

2005-09-06abs ↗pdf ↗

We establish basic geometric and topological properties of Thurston's Master Teapot and the Thurston set for superattracting unimodal self-maps of intervals. In particular, the Master Teapot is connected, contains the unit cylinder, and its intersection with a set D×{c}\mathbb{D} \times \{c\} grows monotonically with cc.…

2019-02-27abs ↗pdf ↗

In modeling multivariate time series, it is important to allow time-varying smoothness in the mean and covariance process. In particular, there may be certain time intervals exhibiting rapid changes and others in which changes are slow. If such time-varying smoothness is not accounted for, one can obtain misleading inf…

2012-10-07abs ↗pdf ↗

CASCADE improves uncertainty communication in Parkinson's disease medication management.

problem Uncertainty in clinical decision-making for Parkinson's disease patients.
method CASCADE uses a novel conformal prediction framework to adaptively scale prediction intervals based on classification uncertainty.
result CASCADE produces more efficient and robust prediction intervals for Parkinson's disease patients.

ICP improves prediction intervals for continuous outcomes at lower computational cost.

problem Systematic bias in point predictions that undermines their use in decision-making.
method Develops Isotonic Conformal Prediction (ICP) framework to decouple calibration from prediction-set construction.
result SICP and TICP procedures match SC-CP coverage at lower computational cost.

We show that a group of diffeomorphisms $\D$ on the open unit interval I,I, equipped with the topology of uniform convergence on any compact set of the derivatives at any order, is non regular: the exponential map is not defined for some path of the Lie algebra. this result extends to the group of diffeomorphisms of fi…

2011-01-12abs ↗pdf ↗

We prove that the upper metric mean dimension of C0C^0-generic homeomorphisms, acting on a compact smooth boundaryless manifold with dimension greater than one, coincides with the dimension of the manifold. In the case of continuous interval maps we also show that each level set for the metric mean dimension is C0C^0-d…

2019-10-16abs ↗pdf ↗

Having a regression model, we are interested in finding two-sided intervals that are guaranteed to contain at least a desired proportion of the conditional distribution of the response variable given a specific combination of predictors. We name such intervals predictive intervals. This work presents a new method to fi…

2014-02-24abs ↗pdf ↗

We provide single-model estimates of aleatoric and epistemic uncertainty for deep neural networks. To estimate aleatoric uncertainty, we propose Simultaneous Quantile Regression (SQR), a loss function to learn all the conditional quantiles of a given target variable. These quantiles can be used to compute well-calibrat…

2018-11-02abs ↗pdf ↗

The paper studies curves in Riemannian manifolds using total variation flow.

problem Analyzing the evolution of curves in Riemannian manifolds using total variation.
method Defining and proving the existence of strong solutions to the flow equations, showing variational equality, and proving convergence.
result Strong solutions converge to a constant map in finite time for non-positive sectional curvature.

Prediction intervals are a valuable way of quantifying uncertainty in regression problems. Good prediction intervals should be both correct, containing the actual value between the lower and upper bound at least a target percentage of the time; and tight, having a small mean width of the bounds. Many prior techniques f…

2018-06-28abs ↗pdf ↗

New methods for ordinal classification of interval-valued data and functional data.

problem Ordinal classification of interval-valued data and functional data.
method Six ordinal classifiers are proposed, including parametric, binary decomposition, logistic regression, distance-based, k-nearest-neighbor, kernel PCA, and random forest methods.
result Considering ordering and interval-valued information improves the accuracy of ordinal classification.