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We introduce steerable neural ordinary differential equations on homogeneous spaces $M=G/H$. These models constitute a novel geometric extension of manifold neural ordinary differential equations (NODEs) that transport associated feature…

机器学习 · 计算机科学 2026-05-13 Emma Andersdotter , Daniel Persson , Fredrik Ohlsson

Recent works on optical flow estimation use neural networks to predict the flow field that maps positions of one image to positions of the other. These networks consist of a feature extractor, a correlation volume, and finally several…

计算机视觉与模式识别 · 计算机科学 2025-06-05 Leyla Mirvakhabova , Hong Cai , Jisoo Jeong , Hanno Ackermann , Farhad Zanjani , Fatih Porikli

A differential algebra of nonlinear generalized functions is presented as a tool for a wide range of nonsmooth nonlinear problems. The power of the differential algebra is used to do mathematical calculations or proofs; then the final…

数学物理 · 物理学 2007-05-23 J. F. Colombeau

We consider matrix-valued processes described as solutions to stochastic differential equations of very general form. We study the family of the empirical measure-valued processes constructed from the corresponding eigenvalues. We show that…

概率论 · 数学 2019-01-10 Jacek Małecki , José Luis Pérez

In this paper we present a unified treatment for the ordinary differential equations under the Osgood and Sobolev type conditions, following Crippa and de Lellis's direct method. More precisely, we prove the existence, uniqueness and…

经典分析与常微分方程 · 数学 2015-03-03 Huaiqian Li , Dejun Luo

We extend calculus from smooth manifolds to topological manifolds making use of a theory of generalized functions developed for this aim. Actually such extension fits into a boarder context: the universal construction of a site containing…

微分几何 · 数学 2025-09-03 Tommaso Boccellari

A new important relation between fluid mechanics and differential geometry is established. We study smooth steady solutions to the Euler equations with the additional property: the velocity vector is orthogonal to the gradient of the…

数学物理 · 物理学 2023-02-14 Vladimir Yu. Rovenski , Vladimir A. Sharafutdinov

For a smooth domain $D$ containing the origin, we consider a vector field $u \in C^1(D\setminus\{0\},\mathbb{R}^3)$ with $\divg u \equiv 0$ and exclude certain types of possible isolated singularities at the origin, based on the geometry of…

偏微分方程分析 · 数学 2011-09-29 Eric Foxall , Slim Ibrahim , Tsuyoshi Yoneda

In this paper we consider rough differential equations on a smooth manifold $\left( M\right) .$ The main result of this paper gives sufficient conditions on the driving vector-fields so that the rough ODE's have global (in time) solutions.…

微分几何 · 数学 2018-10-10 Bruce K. Driver

We present an extension of the methods of classical Lie group analysis of differential equations to equations involving generalized functions (in particular: distributions). A suitable framework for such a generalization is provided by…

泛函分析 · 数学 2007-05-23 Michael Kunzinger , Michael Oberguggenberger

This paper is part of an ongoing program to develop a theory of generalized differential geometry. We consider the space $\mathcal{G}[X,Y]$ of Colombeau generalized functions defined on a manifold $X$ and taking values in a manifold $Y$.…

泛函分析 · 数学 2010-03-18 Michael Kunzinger , Roland Steinbauer , James A. Vickers

Normalizing flows are generative models that provide tractable density estimation via an invertible transformation from a simple base distribution to a complex target distribution. However, this technique cannot directly model data…

机器学习 · 统计学 2021-11-15 Brendan Leigh Ross , Jesse C. Cresswell

We define new differential structures on the Wasserstein spaces $\mathcal{W}_p(M)$ for $p > 2$ and a general Riemannian manifold $(M,g)$. We consider a very general and possibly degenerate second order partial differential flow equation…

偏微分方程分析 · 数学 2026-03-17 Arthur Schichl

Studying various functionals and associated gradient ows are known problems in differential geometry. The perpose of this article is to provide a general overview of curvature functionals in Finsler geometry and use their information for…

微分几何 · 数学 2014-10-07 N. Shojaee , M. M. Rezaii

In the classical one-dimensional solution of fluid dynamics equations all unknown functions depend only on time t and Cartesian coordinate x. Although fluid spreads in all directions (velocity vector has three components) the whole picture…

流体动力学 · 物理学 2010-08-05 Sergey V. Golovin

We analyse second order (in Riemann curvature) geometric flows (un-normalised) on locally homogeneous three manifolds and look for specific features through the solutions (analytic whereever possible, otherwise numerical) of the evolution…

微分几何 · 数学 2015-04-13 Sanjit Das , Kartik Prabhu , Sayan Kar

The concept of the derivative-dependent functional separable solution, as a generalization to the functional separable solution, is proposed. As an application, it is used to discuss the generalized nonlinear diffusion equations based on…

可精确求解与可积系统 · 物理学 2009-11-07 Shun-li Zhang , Sen-yue Lou , Chang-zheng Qu

The main purpose of this paper is twofold. We first want to analyze in details the meaningful geometric aspect of the method introduced in the previous paper [12], concerning regularity of families of irreducible, nodal "curves" on a…

代数几何 · 数学 2007-05-23 Flaminio Flamini

Adapting Lindstr\"om's well-known construction, we consider a wide class of functions which are generated by flows in a planar acyclic directed graph whose vertices (or edges) take weights in an arbitrary commutative semiring. We give a…

组合数学 · 数学 2012-01-31 Vladimir I. Danilov , Alexander V. Karzanov , Gleb A. Koshevoy

We study gradient flows of general functionals with linear growth with very weak assumptions. Classical results concerning characterisation of solutions require differentiability of the Lagrangian, as for the time-dependent minimal surface…

偏微分方程分析 · 数学 2025-03-19 Wojciech Górny , José M. Mazón