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The set of functions parameterized by a linear fully-connected neural network is a determinantal variety. We investigate the subvariety of functions that are equivariant or invariant under the action of a permutation group. Examples of such…

Machine Learning · Computer Science 2025-01-13 Kathlén Kohn , Anna-Laura Sattelberger , Vahid Shahverdi

Crystal structures are defined by the periodic arrangement of atoms in 3D space, inherently making them equivariant to SO(3) group. A fundamental requirement for crystal property prediction is that the model's output should remain invariant…

Computational Engineering, Finance, and Science · Computer Science 2025-10-24 Haowei Hua , Wanyu Lin

Molecular graphs generally contain subgraphs (known as groups) that are identifiable and significant in composition, functionality, geometry, etc. Flat latent representations (node embeddings or graph embeddings) fail to represent, and…

Machine Learning · Computer Science 2019-04-05 Daniel T. Chang

We develop the foundations of the deformation theory of compact complete affine space forms and affine crystallographic groups. Using methods from the theory of linear algebraic groups we show that these deformation spaces inherit an…

Differential Geometry · Mathematics 2008-09-05 Oliver Baues

This is an overview of Erlangen Programme at Large. Study of objects and properties, which are invariant under a group action, is very fruitful far beyond the traditional geometry. In this paper we demonstrate this on the example of the…

Complex Variables · Mathematics 2015-12-23 Vladimir V. Kisil

The tensor powers of the vector representation associated to an infinite rank quantum group decompose into irreducible components with multiplicities independant of the infinite root system considered. Although the irreducible modules…

Combinatorics · Mathematics 2007-05-23 Cedric Lecouvey

Crystallographic groups are conventionally studied in real space to characterize crystal symmetries. Recent work has recognized that when these symmetries are realized projectively, momentum space inherently accommodates nonsymmorphic…

Mesoscale and Nanoscale Physics · Physics 2025-12-29 T. R. Liu , Zheng Zhang , Y. X. Zhao

We introduce group crosscoders, an extension of crosscoders that systematically discover and analyse symmetrical features in neural networks. While neural networks often develop equivariant representations without explicit architectural…

Machine Learning · Computer Science 2024-11-04 Liv Gorton

The dictionary learning problem can be viewed as a data-driven process to learn a suitable transformation so that data is sparsely represented directly from example data. In this paper, we examine the problem of learning a dictionary that…

Optimization and Control · Mathematics 2026-02-05 Subhroshekhar Ghosh , Aaron Y. R. Low , Yong Sheng Soh , Zhuohang Feng , Brendan K. Y. Tan

As a fundamental concept of all crystals, space groups are partitioned into symmorphic groups and nonsymmorphic groups. Each nonsymmorphic group contains glide reflections or screw rotations with fractional lattice translations, which are…

Strongly Correlated Electrons · Physics 2023-06-27 Chen Zhang , Z. Y. Chen , Zheng Zhang , Y. X. Zhao

We consider actions of non-compact simple Lie groups preserving an analytic rigid geometric structure of algebraic type on a compact manifold. The structure is not assumed to be unimodular, so an invariant measure may not exist. Ergodic…

Dynamical Systems · Mathematics 2009-01-06 Amos Nevo , Robert J. Zimmer

We study function spaces that are related to square-integrable, irreducible, unitary representations of several low-dimensional nilpotent Lie groups. These are new examples of coorbit theory and yield new families of function spaces on…

Functional Analysis · Mathematics 2023-04-18 Karlheinz Gröchenig

The geometric crystal operators and geometric $R$-matrices (or geometric Weyl group actions) give commuting actions on the field of rational functions in $mn$ variables. We study the invariants of various combinations of these actions,…

Quantum Algebra · Mathematics 2022-05-26 Benjamin Brubaker , Gabriel Frieden , Pavlo Pylyavskyy , Travis Scrimshaw

State-of-the-art deep learning systems often require large amounts of data and computation. For this reason, leveraging known or unknown structure of the data is paramount. Convolutional neural networks (CNNs) are successful examples of…

Computer Vision and Pattern Recognition · Computer Science 2020-12-07 Carlos Esteves

Determining whether a candidate crystalline material is thermodynamically stable depends on identifying its true ground-state structure, a central challenge in computational materials science. We introduce CrystalGRW, a diffusion-based…

This article is a continuation of work on construction and calculation various of modifications of invariant based on the use Euclidean metric values attributed to elements of manifold triangulation. We again address the well investigated…

Algebraic Topology · Mathematics 2007-05-23 E. V. Martyushev

In this paper we introduce the systematic study of invariant functions and equivariant mappings defined on Minkowski space under the action of the Lorentz group. We adapt some known results from the orthogonal group acting on the Euclidean…

Representation Theory · Mathematics 2025-03-27 Miram Manoel , Leandro Nery de Oliveira

We use quantum invariants to define an analytic family of representations for the mapping class group of a punctured surface. The representations depend on a complex number A with |A| <= 1 and act on an infinite-dimensional Hilbert space.…

Geometric Topology · Mathematics 2014-11-11 Francesco Costantino , Bruno Martelli

The phase space given by the cotangent bundle of a Lie group appears in the context of several models for physical systems. A representation for the quantum system in terms of non-commutative functions on the (dual) Lie algebra, and a…

Mathematical Physics · Physics 2013-09-30 Carlos Guedes , Daniele Oriti , Matti Raasakka

Spin layer groups are the crystallographic symmetry groups with a periodic plane, and their symmetry operations are inherited from three-dimensional (3D) spin space groups. However, the direct application of 3D symmetry groups to…

Materials Science · Physics 2026-05-26 Zeying Zhang , Gui-Bin Liu , Mu Tian , Run-Wu Zhang , Zhi-Ming Yu , Yugui Yao