Study optimizes estimation of orthogonal and rotation matrices from noisy data.
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In the present paper, we study deformations of polar weighted homogeneous polynomials which are also polar weighted homogeneous polynomials. We describe a round handle decomposition of the Milnor fibration of a deformation of a polar weighted homogeneous polynomial concretely and give the number of round handles by the…
Geometrically studies Moore-Penrose inverse and polar decomposition continuity.
We prove that a polar foliation of codimension at least three in an irreducible compact symmetric space is hyperpolar, unless the symmetric space has rank one. For reducible symmetric spaces of compact type, we derive decomposition results for polar foliations.
The space of probability densities is an infinite-dimensional Riemannian manifold, with Riemannian metrics in two flavors: Wasserstein and Fisher--Rao. The former is pivotal in optimal mass transport (OMT), whereas the latter occurs in information geometry---the differential geometric approach to statistics. The Rieman…
We introduce polar metrics on a product manifold, which have product and warped product metrics as special cases. We prove a de Rham-type theorem characterizing Riemannian manifolds that can be locally decomposed as a product manifold endowed with a polar metric. For a product manifold endowed with a polar metric, our …
Informed by recent work on tensor singular value decomposition and circulant algebra matrices, this paper presents a new theoretical bridge that unifies the hypercomplex and tensor-based approaches to singular value decomposition and robust principal component analysis. We begin our work by extending the principal comp…
The paper introduces polarizations in symplectic and orthogonal settings.
The paper describes a fine representation of the Ricci tensor and Hessian on RCD spaces.
The paper explores totally geodesic submanifolds in SPD matrices and their properties.
Paper uses ResUNet-CMB to reconstruct cosmic polarization rotation from CMB data.
Efficiently implements polar slice sampling for high-dimensional distributions.
Gradient flow solves optimal mass transport for covariance matrices.
Study of strictly accretive matrices using Finsler geometry.
Parabolic structures with rational weights encode certain iterated blowups of geometrically ruled surfaces. In this paper, we show that the three notions of parabolic polystability, K-polystability and existence of constant scalar curvature Kähler metrics on the iterated blowup are equivalent, for certain polarizations…
Let M be a compact Riemannian manifold and let ,d be the associated measure and distance on M. Robert McCann obtained, generalizing results for the Euclidean case by Yann Brenier, the polar factorization of Borel maps S : M -> M pushing forward to a measure : each S factors uniquely a.e. into the composition …
In this work, we introduce a deep learning-based polar code construction algorithm. The core idea is to represent the information/frozen bit indices of a polar code as a binary vector which can be interpreted as trainable weights of a neural network (NN). For this, we demonstrate how this binary vector can be relaxed t…
Classifies limits of groups of involutions in SL(2,F) over local fields.
Neural network implementation of Brenier's polar factorization for vector fields.
In this paper, we introduce the notions of an iterated planar Lefschetz fibration and an iterated planar open book decomposition and prove the Weinstein conjecture for contact manifolds supporting an open book that has iterated planar pages. For , we show that a -dimensional contact manifold suppor…
Decomposes Q-Fano Kähler-Einstein varieties into simpler components.
Study on spin random fields using chaos decomposition for cosmic microwave background modeling.
On a polarized manifold , the Bergman iteration is defined as a sequence of Bergman metrics on with two integer parameters . We study the relation between the Kähler-Ricci flow at any time and the limiting behavior of metrics when and the ratio ap…
A triple space is a homogeneous space where is a threefold product group and the diagonal subgroup of . This paper concerns the geometry of the triple spaces with $G_0=\SL(2,\R)$, $\SL(2,\C)$ or $\SO_e(n,1)$ for . We determine the abelian subgroups …
Using Seiberg-Witten theory, it is shown that any Kaehler metric of constant negative scalar curvature on a compact 4-manifold M minimizes the L^2-norm of scalar curvature among Riemannian metrics compatible with a fixed decomposition H^2(M)=(H^+) + (H^-). This implies, for example, that any such metric on a minimal ru…
A machine learning model for PMD compensation in dual-polarization systems.
New recommendations improve Gaussian process accuracy and stability.
Derives formulas for Monge-Ampère measures and reduces complex conjectures to simpler existence problems.
Paper refutes conjecture on tensor power iteration convergence in overcomplete models.
This paper introduces an acceleration structure for hyperbolic embeddings.
Range penalization enhances statistical accuracy and resource efficiency in federated learning.
This paper uses Gaussian mixtures to mimic interactions in large language models.
Proves a theorem similar to Moser's using a normalization method.
Study Mabuchi rays on toric Kähler manifolds to understand quantization.
We classify the polar actions on the complex hyperbolic plane up to orbit equivalence. Apart from the trivial and transitive polar actions, there are five polar actions of cohomogeneity one and four polar actions of cohomogeneity two.
Study polar actions on Damek-Ricci spaces, proving existence and finding examples.
The paper studies how Kähler polarizations degenerate to mixed polarizations on toric varieties.
The paper bounds generalization error for iterative learning with bounded updates.
Polarized and -polarized CR manifolds are smooth manifolds endowed with a double structure: a real foliation $\Cal F$ (given by the action of a Lie group in the -polarized case) and a transverse CR distribution . Polarized means that is roughly speaking invariant by $\Cal F$. Both structures ar…
A polarity of a projective plane is a map, often assumed to be involutive, mapping a generic point to a generic line and reciprocally. The most classical polarity is the polarity with respect to a conic, but other exist: the harmonic polarity with respect to a triangle, the polarities with respect to high-degree algebr…
The generic fiber of a Lagrangian fibration on an irreducible holomorphic symplectic manifold is an abelian variety. Associate a polarization type to such Lagrangian fibrations coming from polarizations on a generic fiber. We prove that this polarization type is constant in families of Lagrangian fibrations. Further, w…
NACT improves tensor regression predictions with regularization.
Structured sparsity is an important modeling tool that expands the applicability of convex formulations for data analysis, however it also creates significant challenges for efficient algorithm design. In this paper we investigate the generalized conditional gradient (GCG) algorithm for solving structured sparse optimi…
The study introduces polarization of generalized Nijenhuis torsions and their relevance in operator fields.
Tensor CANDECOMP/PARAFAC (CP) decomposition has wide applications in statistical learning of latent variable models and in data mining. In this paper, we propose fast and randomized tensor CP decomposition algorithms based on sketching. We build on the idea of count sketches, but introduce many novel ideas which are un…
Classifies polar foliations on symmetric spaces.
Study geodesic X-ray transforms on hyperbolic surfaces, proposing new reconstruction methods.
Assume that a projective variety together with a polarization is uniformly K-stable. If the polarization is canonical or anti-canonical, then the projective variety is uniformly K-stable with respects to any polarization sufficiently close to the original polarization.