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Related papers: From PDEs to Pfaffian fibrations

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We present a systematic evaluation of representation learning objectives for particle physics within a unified framework. Our study employs a shared transformer-based particle-cloud encoder with standardized preprocessing, matched sampling,…

Machine Learning · Computer Science 2025-11-18 Michael Chen , Raghav Kansal , Abhijith Gandrakota , Zichun Hao , Jennifer Ngadiuba , Maria Spiropulu

The data-driven models allow one to define the model structure in cases when a priori information is not sufficient to build other types of models. The possible way to obtain physical interpretation is the data-driven differential equation…

Neural and Evolutionary Computing · Computer Science 2019-06-11 Michail Maslyaev , Alexander Hvatov , Anna Kalyuzhnaya

Advances in neural operators have introduced discretization invariant surrogate models for PDEs on general geometries, yet many approaches struggle to encode local geometric structure and variable domains efficiently. We introduce enf2enf,…

Machine Learning · Computer Science 2025-09-29 Giovanni Catalani , Michael Bauerheim , Frédéric Tost , Xavier Bertrand , Joseph Morlier

For a system of ordinary differential equations (ODEs) or, more generally, an involutive distribution of vector fields, the problem of its integration is considered. Among the many approaches to this problem, solvable structures provide a…

Classical Analysis and ODEs · Mathematics 2023-08-29 A. J. Pan-Collantes , C. Muriel , A. Ruiz , J. L. Romero

This paper is the sequel to our previous paper (Differetial Geometry of Microlinear Frolicher spaces IV-1), where three approaches to jet bundles are presented and compared. The first objective in this paper is to give the affine bundle…

Differential Geometry · Mathematics 2012-12-12 Hirokazu Nishimura

Consider a very ample line bundle $ E \to X$ over a compact complex manifold, endowed with a hermitian metric of curvature $-i \omega $, and the space $\mathcal{O}(E)$ of its holomorphic sections. The Fubini--Study map associates with…

Complex Variables · Mathematics 2021-09-20 László Lempert

We explore two differentiable deep declarative layers, namely least squares on sphere (LESS) and implicit eigen decomposition (IED), for learning the principal matrix features (PMaF). It can be used to represent data features with a…

Machine Learning · Computer Science 2023-07-04 Zhiwei Xu , Hao Wang , Yanbin Liu , Stephen Gould

The study of the internal structure of hadronic jets has become in recent years a very active area of research in particle physics. Jet substructure techniques are increasingly used in experimental analyses by the LHC collaborations, both…

High Energy Physics - Phenomenology · Physics 2026-04-10 Simone Marzani , Gregory Soyez , Michael Spannowsky

We present some Pfaffian identities, which are completely different from the Pl\"ucker relations. As consequences we obtain a quadratic identity for the number of perfect matchings of plane graphs, which has a simpler form than the formula…

Combinatorics · Mathematics 2007-05-23 Weigen Yan , Yeong-Nan Yeh

We propose a fibre bundle formulation of the mathematical base of relativistic quantum mechanics. At the present stage the bundle form of the theory is equivalent to its conventional one, but it admits new types of generalizations in…

Quantum Physics · Physics 2007-05-23 Bozhidar Z. Iliev

When multimode optical fibers are perturbed, the data that is transmitted through them is scrambled. This presents a major difficulty for many possible applications, such as multimode fiber-based telecommunication and endoscopy. To overcome…

Image and Video Processing · Electrical Eng. & Systems 2022-02-17 Shachar Resisi , Sebastien M. Popoff , Yaron Bromberg

The construction of a linear connection on a pullback bundle from a connection on a vector bundle is explained in terms of fiberwise linear approximation. This procedure clarifies the geometric meaning of the linearized connection as well…

Differential Geometry · Mathematics 2019-11-15 Eduardo Martínez

The paper studies a finite element method for computing transport and diffusion along evolving surfaces. The method does not require a parametrization of a surface or an extension of a PDE from a surface into a bulk outer domain. The…

Numerical Analysis · Mathematics 2014-03-04 Joerg Grande , Maxim Olshanskii , Arnold Reusken

Partial differential equations (PDEs) govern nearly every physical process in science and engineering, yet solving them at scale remains prohibitively expensive. Generative AI has transformed language, vision, and protein science, but…

Machine Learning · Computer Science 2026-04-10 Yilong Dai , Shengyu Chen , Xiaowei Jia , Runlong Yu

Extended depth of field microscopy encodes axial information into a single acquisition through engineered point spread functions, but conventional and deep optics approaches are subject to degradation in scattering tissue. We introduce…

We present a new convolution layer for deep learning architectures which we call QuadConv -- an approximation to continuous convolution via quadrature. Our operator is developed explicitly for use on non-uniform, mesh-based data, and…

Machine Learning · Computer Science 2024-07-08 Kevin Doherty , Cooper Simpson , Stephen Becker , Alireza Doostan

We establish a bijective correspondence between affine connections and a class of semi-holonomic jets of local diffeomorphisms of the underlying manifold called symmetry jets in the text. The symmetry jet corresponding to a torsion free…

Differential Geometry · Mathematics 2015-07-13 Mélanie Bertelson , Pierre Bieliavsky

We study the equation E_fc of flat connections in a fiber bundle and discover a specific geometric structure on it, which we call a flat representation. We generalize this notion to arbitrary PDE and prove that flat representations of an…

Differential Geometry · Mathematics 2013-01-24 S. Igonin , P. H. M. Kersten , I. Krasil'shchik

We show how the tangent bundle decomposition generated by a system of ordinary differential equations may be generalized to the case of a system of second order PDEs `of connection type'. Whereas for ODEs the decomposition is intrinsic, for…

Differential Geometry · Mathematics 2023-07-20 D. J. Saunders , O. Rossi , G. E. Prince

We study an intrinsic distribution, called polar, on the space of $l$-dimensional integral elements of the higher order contact structure on jet spaces. The main result establishes that this exterior differential system is the prolongation…

Differential Geometry · Mathematics 2016-03-18 M. J. Bächtold
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