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Related papers: Computing the conformal barycenter

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Conformal predictors are machine learning algorithms developed in the 1990's by Gammerman, Vovk, and their research team, to provide set predictions with guaranteed confidence level. Over recent years, they have grown in popularity and have…

Machine Learning · Computer Science 2025-08-12 Anthony Bellotti , Xindi Zhao

Recently, Liero, Mielke and Savar\'{e} introduced Hellinger-Kantorovich distance on the space of nonnegative Radon measures of a metric space $X$ [19,20]. We prove that Hellinger-Kantorovich barycenters always exist for a class of metric…

Optimization and Control · Mathematics 2020-06-12 Nhan-Phu Chung , Minh-Nhat Phung

This paper introduces a framework for uncertainty quantification in regression models defined in metric spaces. Leveraging a newly defined notion of homoscedasticity, we develop a conformal prediction algorithm that offers finite-sample…

Machine Learning · Statistics 2025-07-22 Gábor Lugosi , Marcos Matabuena

We discuss structural and thermodynamical properties of Baxter's adhesive hard sphere model within a class of closures which includes the Percus-Yevick (PY) one. The common feature of all these closures is to have a direct correlation…

Statistical Mechanics · Physics 2009-11-10 Domenico Gazzillo , Achille Giacometti

The exact 2-point function of certain physically motivated operators in SYK-like spin glass models is computed, bypassing the Schwinger-Dyson equations. The models possess an IR low energy conformal window, but our results are exact at all…

High Energy Physics - Theory · Physics 2018-09-26 Micha Berkooz , Prithvi Narayan , Joan Simon

We describe an efficient algorithm to compute a conformally equivalent metric for a discrete surface, possibly with boundary, exhibiting prescribed Gaussian curvature at all interior vertices and prescribed geodesic curvature along the…

Computational Geometry · Computer Science 2021-04-13 Marcel Campen , Ryan Capouellez , Hanxiao Shen , Leyi Zhu , Daniele Panozzo , Denis Zorin

In this paper we describe some recent applications of the barycenter method in geometry. This method was first used by Duady-Earle and later greatly extended by Besson-Courtois-Gallot in their solution of a number of long-standing problems,…

Differential Geometry · Mathematics 2007-05-23 Christopher Connell , Benson Farb

In the setting of a complete, doubling metric measure space $(X,d,\mu)$ supporting a $(1,1)$-Poincar\'e inequality, we show that for all $0<\theta<1$, the following fractional Poincar\'e inequality holds for all balls $B$ and locally…

Functional Analysis · Mathematics 2025-11-07 Josh Kline , Panu Lahti , Jiang Li , Xiaodan Zhou

Monotonicity formulae play a crucial role for many geometric PDEs, especially for their regularity theories. For minimal submanifolds in a Euclidean ball, the classical monotonicity formula implies that if such a submanifold passes through…

Differential Geometry · Mathematics 2017-05-02 Jonathan J. Zhu

A curvature-type tensor invariant called para contact (pc) conformal curvature is defined on a paracontact manifold. It is shown that a paracontact manifold is locally paracontact conformal to the hyperbolic Heisenberg group or to a…

Differential Geometry · Mathematics 2010-03-12 Stefan Ivanov , Dimiter Vassilev , Simeon Zamkovoy

We study the existence and uniqueness of the barycenter of a signed distribution of probability measures on a Hilbert space. The barycenter is found, as usual, as a minimum of a functional. In the case where the positive part of the signed…

Probability · Mathematics 2025-07-08 Francesco Tornabene , Marco Veneroni , Giuseppe Savaré

This paper provides rates of convergence for empirical (generalised) barycenters on compact geodesic metric spaces under general conditions using empirical processes techniques. Our main assumption is termed a variance inequality and…

Statistics Theory · Mathematics 2019-06-03 Adil Ahidar-Coutrix , Thibaut Le Gouic , Quentin Paris

Discrete barycenters are the optimal solutions to mass transport problems for a set of discrete measures. Such transport problems arise in many applications of operations research and statistics. The best known algorithms for exact…

Optimization and Control · Mathematics 2019-04-24 Steffen Borgwardt , Stephan Patterson

We prove the following isoperimetric type inequality: Given a finite absolutely continuous Borel measure on ${\mathbb R}^n$, halfspaces have maximal measure among all subsets with prescribed barycenter. As a consequence, we make progress…

Probability · Mathematics 2025-07-11 Shoni Gilboa , Pazit Haim-Kislev , Boaz Slomka

We propose a numerical method to compute the inertial modes of a container with near-spherical geometry based on the fully spectral discretisation of the angular and radial directions using spherical harmonics and Gegenbauer polynomial…

Fluid Dynamics · Physics 2019-04-11 J. Rekier , A. Trinh , S. A. Triana , V. Dehant

We answer two questions of Beardon and Minda that arose from their study of the conformal symmetries of circular regions in the complex plane. We show that a configuration of closed balls in the $N$-sphere is determined up to M\"{o}bius…

Metric Geometry · Mathematics 2009-12-11 Edward Crane , Ian Short

Using an approach similar to arXiv:2409.15460, we give a new proof of the nonlinear stability of de Sitter space as a solution to the Einstein vacuum equations with positive cosmological constant in $n+1$ dimensions, with $n\geq3$. Using…

Analysis of PDEs · Mathematics 2026-05-06 Maurus Leimbacher

Inertial modes are the eigenmodes of contained rotating fluids restored by the Coriolis force. When the fluid is incompressible, inviscid and contained in a rigid container, these modes satisfy Poincar\'e's equation that has the peculiarity…

Fluid Dynamics · Physics 2017-06-07 George Backus , Michel Rieutord

The only efficient and robust method of generating consistent initial data in general relativity is the conformal technique initiated by Lichnerowicz and perfected by York. In the spatially compact case, the complete scheme consists of the…

General Relativity and Quantum Cosmology · Physics 2007-05-23 Edward Anderson , Julian Barbour , Brendan Z. Foster , Bryan Kelleher , Niall O'Murchadha

We investigate moment sequences of probability measures on $E\subset\mathbb{R}$ under constraints of certain moments being fixed. This corresponds to studying sections of $n$-th moment spaces, i.e. the spaces of moment sequences of order…

Probability · Mathematics 2022-12-12 Holger Dette , Dominik Tomecki , Martin Venker