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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.

168,695 papers · 148 categories

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4080120160 · May 202619922001200920172026
48 results for conformal density

Conformal Prediction Regions match Imprecise Highest Density Regions under consonance.

problem Matching conformal prediction regions with highest density regions.
method Using consonance and the Imprecise Probability theory of clouds.
result Imprecise Highest Density Regions are equivalent to Conformal Prediction Regions under consonance.

Conformal-DP improves differential privacy on manifold data by calibrating perturbations based on local densities.

problem Lack of density-awareness in existing differential privacy mechanisms for manifold data leads to biased and suboptimal privacy-utility trade-offs.
method Proposes Conformal-DP, a density-aware differential privacy mechanism using conformal transformations to calibrate perturbations based on local densities.
result Demonstrates improved privacy-utility trade-off in heterogeneous data distribution settings compared to state-of-the-art mechanisms.

The paper develops a theory of conformal density at infinity for groups with contracting elements.

problem Understanding conformal dynamics at infinity for groups with contracting elements.
method Introducing a class of convergence boundary and establishing the basic theory of conformal density on it.
result Unified theory of conformal density on various boundaries for different types of groups.

Normalizing flows can now estimate densities on unknown manifolds.

problem Normalizing flows struggle with data on unknown low-dimensional manifolds.
method Conformal Embedding Flows, which combine standard flows with trainable conformal embeddings.
result Tractable density estimation on manifold-supported data is possible.

Develops spherical density-equalizing maps for closed surfaces.

problem Lack of methods for genus-0 closed surfaces.
method Conformal parameterization onto unit sphere, density equalization, quasi-conformal theory, harmonic energy, landmark constraints.
result Landmark-aligned spherical density-equalizing maps balancing different distortion measures.

Study shows density of mapping classes on infinite-type surfaces using quasi-conformal maps.

problem Approximating mapping classes on infinite-type surfaces with quasi-conformal maps.
method Using hyperbolic structures and quasi-conformal homeomorphisms.
result Density of mapping classes on infinite-type surfaces can be achieved using quasi-conformal maps.

We prove the existence and the uniqueness of a conformally equivariant symbol calculus and quantization on any conformally flat pseudo-Riemannian manifold $(M,\rg)$. In other words, we establish a canonical isomorphism between the spaces of polynomials on TMT^*M and of differential operators on tensor densities over $M…

1999-02-04abs ↗pdf ↗

Developed an ellipsoidal density-equalizing map for genus-0 closed surfaces.

problem Large geometric distortion when using spherical domain for genus-0 closed surfaces.
method Developed a novel method for ellipsoidal density-equalizing maps and combined with quasi-conformal maps.
result Significantly improved surface remeshing performance for genus-0 closed surfaces.

A new method for time-series data provides guaranteed coverage and adapts to non-exchangeable data.

problem Guaranteed coverage for time-series data prediction intervals.
method Sequential Conformalized Density Regions (SCDR) using quantile random forest.
result SCDR achieves guaranteed asymptotic coverage and outperforms existing methods in simulations.

A new method improves quantile regression for high-dimensional data.

problem Handling heteroscedastic, multimodal, or skewed data in quantile regression.
method Dynamic prototypes-based probability density estimation with conformalized high-density quantile regression.
result Enhanced prediction regions with valid coverage guarantees and scalability to higher dimensions.

JAPAN uses flow-based models to create adaptive prediction areas with better coverage guarantees.

problem Inadequate prediction areas from existing conformal prediction methods, especially for multimodal distributions.
method JAPAN employs density-based conformity scores using flow-based models to construct context-adaptive prediction areas.
result JAPAN produces more accurate and context-adaptive prediction areas compared to existing methods.

Contrast uses normalizing flows to create precise prediction regions for multi-dimensional outputs.

problem Generating reliable prediction regions for multi-dimensional outputs in supervised and unsupervised learning.
method Contrast uses normalizing flows to define nonconformity scores based on distances in latent space, creating sharp prediction regions.
result Contrast maintains guaranteed coverage probability and outperforms existing methods in generating accurate prediction regions.

We give a lower and an upper bound for the conformal dimension of the boundaries of certain small cancellation groups. We apply these bounds to the few relator and density models for random groups. This gives generic bounds of the following form, where ll is the relator length, going to infinity. (a) $1 + 1/C < \Cdim(…

2010-11-13abs ↗pdf ↗

Let Fλ{\cal F}_λ be the space of tensor densities on Rn{\bf R}^n of degree λλ (or, equivalently, of conformal densities of degree λn-λn) considered as a module over the Lie algebra so(p+1,q+1)so(p+1,q+1). We classify so(p+1,q+1)so(p+1,q+1)-invariant bilinear differential operators from FλFμ{\cal F}_λ\otimes{\cal F}_μ to~Fν{\cal F}_ν. The…

2001-04-25abs ↗pdf ↗

Paper proposes a new method for conditional coverage in conformal prediction.

problem Lack of strong conditional coverage guarantees in existing conformal prediction methods.
method Modified non-conformity score using local approximation of conditional distribution.
result Unified framework and empirical evaluations show advantage of the new method.

CTI produces efficient prediction intervals with guaranteed coverage.

problem Efficient and reliable uncertainty quantification in regression.
method CTI estimates conditional density for interval length, then thresholds intervals based on this density.
result CTI achieves smaller prediction sets with guaranteed coverage compared to existing methods.

Jet isomorphism theorems for conformal geometry are discussed. A new proof of the jet isomorphism theorem for odd-dimensional conformal geometry is outlined, using an ambient realization of the conformal deformation complex. An infinite order ambient lift for conformal densities in the case in which harmonic extension …

2007-10-09abs ↗pdf ↗

CoDrug uses KDE to create valid prediction sets for drug molecules under covariate shift.

problem Creating reliable uncertainty estimates for drug properties from computational models.
method CoDrug employs an energy-based model and KDE to assess and rectify distribution shift.
result CoDrug reduces the coverage gap by over 35% compared to non-adjusted conformal prediction sets.

TA-CQR predicts regression intervals with exact coverage, splitting miscoverage between endpoints.

problem Predicting regression intervals with exact coverage under reporting constraints.
method TA-CQR uses tail allocation to parameterize the oracle, estimating the allocation by searching quantile cores and applying nonnegative additive split-conformal calibration.
result TA-CQR achieves exact finite-sample marginal coverage under exchangeability, with theoretical guarantees on calibration and length.

Defines a new conformally invariant Yang-Mills type energy for 6-manifolds.

problem No specific problem stated; focuses on defining a new energy.
method Defines a conformally invariant action S on gauge connections on a 6-manifold M, leading to higher-order conformally invariant Yang-Mills equations.
result The Euler-Lagrange equations of S provide a conformally invariant analogue of Yang-Mills equations, with special cases recovering known invariants.

Let (M,g)(M,g) be a pseudo-Riemannian manifold and Fλ(M)F_λ(M) the space of densities of degree λλ on MM. We study the space Dλ,μ2(M)D^2_{λ,μ}(M) of second-order differential operators from Fλ(M)F_λ(M) to Fμ(M)F_μ(M). If (M,g)(M,g) is conformally flat with signature pqp-q, then Dλ,μ2(M)D^2_{λ,μ}(M) is viewed as a module over the group of confo…

1998-01-27abs ↗pdf ↗

Conformally equivariant quantization is a peculiar map between symbols of real weight δδ and differential operators acting on tensor densities, whose real weights are designed by λλ and λ+δλ+δ. The existence and uniqueness of such a map has been proved by Duval, Lecomte and Ovsienko for a generic weight δδ. Later, Si…

2011-02-20abs ↗pdf ↗

In this paper, we prove conformal positive mass theorems for asymptotically flat manifolds with charge. We apply conformal relations to show that if the conformal sum of scalar curvature is not less than the norm square of electric field and electric density, the sum of the mass will not less than the modulus of total …

2019-09-12abs ↗pdf ↗

Conformal Test Martingales can be 'blind' to significant changes in data distribution.

problem The converse of exchangeability does not hold, leading to potential blindness of CTMs.
method Explicit construction of AA-cryptic change-point using bivariate Gaussian distributions.
result CTMs can be perfectly cryptic to a significant change in marginal means.

Two approaches improve conformal Bayes for label shift, one post-hoc and one in-training.

problem Improving prediction sets for target domain under label shift.
method Two complementary approaches: post-hoc calibration and in-training adaptation.
result In-training adaptation achieves up to 43% width reduction at unchanged coverage.

We introduce a scalar invariant on manifolds with density which is analogous to the renormalized volume coefficient v3v_3 in conformal geometry. We show that this invariant is variational and that shrinking gradient Ricci solitons are stable with respect to the associated W\mathcal{W}-functional.

2016-03-09abs ↗pdf ↗

Researchers create a family of conformally covariant operators.

problem Developing a comprehensive set of conformally covariant operators.
method Constructing a family of conformally covariant tridifferential operators as tangential operators in the Fefferman--Graham ambient space.
result Symmetrization of ambient operators is formally self-adjoint.

A new definition of canonical conformal differential operators PkP_k (k=1,2,...)k=1,2,...), with leading term a kthk^{\rm th} power of the Laplacian, is given for conformally Einstein manifolds of any signature. These act between density bundles and, more generally, between weighted tractor bundles of any rank. By construction …

2005-06-02abs ↗pdf ↗

We establish, via geometric quantization of the supercotangent bundle sM of (M,g), a correspondence between its conformal geometry and those of the spinor bundle. In particular, the Kosmann Lie derivative of spinors is obtained by quantization of the comoment map, associated to the new Hamiltonian action of conf(M,g) o…

2010-04-09abs ↗pdf ↗

We construct new families of conformally invariant differential operators acting on densities. We introduce a simple, direct approach which shows that all such operators arise via this construction when the degree is bounded by the dimension. The method relies on a study of well-known transformation laws and on Weyl's …

2006-08-31abs ↗pdf ↗

Generalizes Fefferman's structure to CR three-manifolds with additional data.

problem Finding conditions for conformal isometry and existence of metrics.
method Introduces perturbations of Fefferman's conformal circle bundle and investigates existence of metrics.
result Provides conditions for existence of metrics satisfying Einstein equations.