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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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4283125166 · Jun 202019922001200920172026
48 results for equivariant embedding

The study characterizes and verifies equivariant embeddings of symmetric Kählerian manifolds.

problem Characterizing and verifying equivariant embeddings of symmetric Kählerian manifolds.
method Investigation motivated by Cartan and Wallach's theorem on symmetric spaces, focusing on CPn\mathbb{CP}^n and parallel plurimean curvature.
result If an equivariant embedding has parallel plurimean curvature, it is the extrinsically symmetric one.

We consider a compact connected CR manifold with a transversal CR locally free R\mathbb R-action endowed with a rigid positive CR line bundle. We prove that a certain weighted Fourier-Szegő kernel of the CR sections in the high tensor powers admits a full asymptotic expansion and we establish R\mathbb R-equivariant K…

2017-10-12abs ↗pdf ↗

Study on embedding surfaces into 3-manifolds, focusing on equivariant cases.

problem Embedding hyperbolic surfaces into hyperbolic 3-manifolds with specific symmetries.
method Examined orientation-preserving and orientation-reversing actions on surfaces, including nonorientable ones.
result Found conditions for equivariant embeddings of hyperbolic surfaces into hyperbolic 3-manifolds.

In 1993, Bismut and Zhang establish a mod Z embedding formula of Atiyah-Patodi-Singer reduced eta invariants. In this paper, we explain the hidden mod Z term as a spectral flow and extend this embedding formula to the equivariant family case. In this case, the spectral flow is generalized to the equivariant chern chara…

2017-06-21abs ↗pdf ↗

Minimal equivariant embedding found for flag manifolds.

problem Finding the smallest possible dimension for equivariant embeddings of flag manifolds.
method Proved the smallest possible dimension (n1)(n+2)/2(n-1)(n+2)/2 for SOn(R)\operatorname{SO}_n(\mathbb{R})-equivariant embeddings of Flag(k1,,kp,Rn)\operatorname{Flag}(k_1,\dots, k_p, \mathbb{R}^n).
result The smallest possible dimension (n1)(n+2)/2(n-1)(n+2)/2 is the optimal for SOn(R)\operatorname{SO}_n(\mathbb{R})-equivariant embeddings of Flag(k1,,kp,Rn)\operatorname{Flag}(k_1,\dots, k_p, \mathbb{R}^n).

The paper provides bounds for embedding manifolds into Euclidean spaces with group actions.

problem Finding explicit bounds for embedding manifolds into Euclidean spaces with group actions.
method The paper provides upper and lower bounds for the dimension of the Euclidean space required for equivariant embeddings of manifolds into Euclidean spaces for finite group actions.
result Explicit bounds for the dimension of the Euclidean space required for equivariant embeddings of manifolds into Euclidean spaces for finite group actions.

This paper proves the existence of a smooth embedding for symmetrical manifolds.

problem Embedding symmetrical Riemannian manifolds isometrically in Euclidean spaces.
method Proves the existence of a CC^\infty equivariant isometric embedding.
result Existence of a CC^\infty equivariant isometric embedding of MM in $\RR^q$.

EbC learns equivariant embeddings from unlabeled group actions.

problem Learning equivariant embeddings from unlabeled group actions.
method Equivariance by Contrast (EbC) method to learn equivariant embeddings from observation pairs (y,gy)(\mathbf{y}, g \cdot \mathbf{y}).
result High-fidelity equivariance in latent space for diverse groups.

We compute the homotopy type of the space of T^n-equivariant symplectic embeddings from the standard 2n-dimensional ball of some fixed radius into a 2n-dimensional symplectic-toric manifold M, and use this computation to define a Z-valued step function on the positive real line which is an invariant of the symplectic-t…

2007-04-08abs ↗pdf ↗

This work proposes a geometric approach to equivariant message passing on Riemannian manifolds.

problem Efficiently processing data on Riemannian manifolds with equivariance.
method Geometric insight into equivariant message passing on Riemannian manifolds, using an equivariant embedding and diffusion process.
result A new class of equivariant GNNs on Riemannian manifolds.

By computing certain cohomology of Vect(M) of smooth vector fields we prove that on 1-dimensional manifolds M there is no quantization map intertwining the action of non-projective embeddings of the Lie algebra sl(2) into the Lie algebra Vect(M). Contrariwise, for projective embeddings sl(2)-equivariant quantization ex…

2006-01-14abs ↗pdf ↗

We consider a compact CR manifold with a transversal CR locally free circle action endowed with a rigid positive CR line bundle. We prove that a certain weighted Fourier-Szegő kernel of the CR sections in the high tensor powers admits a full asymptotic expansion. As a consequence, we establish an equivariant Kodaira em…

2016-03-29abs ↗pdf ↗

Given two Fuchsian representations ρlρ_l and ρrρ_r of the fundamental group of a closed oriented surface SS of genus 2\geq 2, we study the relation between Lagrangian submanifolds of Mρ=(H2/ρl(π1(S)))×(H2/ρr(π1(S)))M_ρ=(\mathbb{H}^2/ρ_l(π_1(S)))\times (\mathbb{H}^2/ρ_r(π_1(S))) and ρρ-equivariant embeddings σσ of S~\widetilde S into Anti-de Sit…

2017-05-31abs ↗pdf ↗

Our work improves VAE latent space clustering by enforcing invariant and equivariant learning.

problem Current VAEs fail to learn invariant and equivariant clusters in latent space.
method We use a mixture model pdf like Gaussian mixtures to enforce deep, group-invariant learning and separate semantic and equivariant variables.
result Our model effectively learns to disentangle invariant and equivariant representations, improving learning rate and image recognition.

The construction of topological index maps for equivariant families of Dirac operators requires factoring a general smooth map through maps of a very simple type: zero sections of vector bundles, open embeddings, and vector bundle projections. Roughly speaking, a normally non-singular map is a map together with such a …

2009-08-11abs ↗pdf ↗

This work introduces a method for almost equivariance in neural networks using Lie algebra convolutions.

problem Real-world data often does not conform to strict group equivariances, leading to underperformance in models.
method Definition and practical implementation of almost equivariance through Lie algebra convolutions.
result Demonstrated the validity of the approach through benchmarking against fully equivariant settings.

Geodesic surfaces embed into hyperbolic 3-manifolds for all finite group actions.

problem Embedding geodesic surfaces into hyperbolic 3-manifolds.
method Analyzing finite group actions on surfaces and proving geodesic embeddings for all irreducible cases.
result All quasiplatonic surfaces embed geodesically into hyperbolic 3-manifolds.

Minimal dimensions for Riemann surface embeddings computed for specific groups.

problem Finding the minimal dimensions for embedding Riemann surfaces into Euclidean spaces.
method Representations of groups, equivariant triangulations, orbifold theory.
result Minimal dimension for Hurwitz action on Klein quartic is 8.

Paper generalizes spectral flow formulas for compact Lie group actions.

problem Generalizing spectral flow formulas for compact Lie group actions.
method Equivariant version of Dai-Zhang higher spectral flow, embedding formula, adiabatic limit formula for Atiyah-Patodi-Singer eta invariants.
result Generalization of eta forms to equivariant Bismut-Cheeger eta forms.

We generalise theorems of Khodorovskiy and Park-Park-Shin, and give new topological proofs of those theorems, using embedded surfaces in the 4-ball and branched double covers. These theorems exhibit smooth codimension-zero embeddings of certain rational homology balls bounded by lens spaces.

2017-07-04abs ↗pdf ↗

For an orbifold, there is a notion of an orbifold embedding, which is more general than the one of sub-orbifolds. We develop several properties of orbifold embeddings. In the case of translation groupoids, we show that such a notion is equivalent to a strong equivariant immersion.

2013-08-27abs ↗pdf ↗

New constraints on embedded spheres and projective planes in 4-manifolds from Seiberg-Witten theory.

problem Constraints on configurations of embedded spheres and real projective planes in 4-manifolds.
method Equivariant Seiberg-Witten invariants and gluing formula for relative Seiberg-Witten invariants.
result Existence of certain configurations of surfaces leads to 4-manifolds of non-simple type.

The paper generalizes free boundary min-max theory to equivariant settings.

problem Existence of minimal hypersurfaces with free boundary in manifolds with boundary.
method Free boundary min-max theory generalized to equivariant settings.
result Existence of nontrivial smooth almost properly embedded GG-invariant minimal hypersurfaces with free boundary.

The paper classifies equivariant test configurations for spherical varieties.

problem Classifying equivariant test configurations for spherical varieties.
method Combinatorial data classification of equivariant normal R-test configurations.
result Finiteness theorem of central fibers of G-equivariant special R-test configurations.

We study isometric actions of tree automorphism groups on the infinite-dimensional hyperbolic spaces. On the one hand, we exhibit a general one-parameter family of such representations and analyse the corresponding equivariant embeddings of the trees, showing that they are convex-cocompact and asymptotically isometric.…

2004-04-29abs ↗pdf ↗

Paper presents a novel hyperbolic neural network for efficient data representation.

problem Efficient representation of hierarchical data in hyperbolic space.
method Develops a fully hyperbolic neural network using projections and equivariant embeddings.
result Proves the proposed embedding is isometric and equivariant under Lorentz transformations.

The paper proves an adjunction inequality for Real embedded surfaces in 4-manifolds.

problem Understanding the genus of Real embedded surfaces in 4-manifolds.
method Using equivariant cohomology and Real Seiberg-Witten invariants.
result Minimal genus of Real embedded surfaces can be larger than that of arbitrary embedded surfaces.

Equivariant trisections for group actions on 4-manifolds are introduced and studied.

problem Understanding the equivariant topology of GG-manifolds and their quotients.
method Introducing GG-equivariant trisections and bridge trisections, and establishing their existence for GG-manifolds.
result Any GG-manifold XX admits a GG-equivariant trisection such that a GG-invariant surface S\mathcal{S} is in equivariant bridge trisection position.

The effectiveness of Convolutional Neural Networks (CNNs) has been substantially attributed to their built-in property of translation equivariance. However, CNNs do not have embedded mechanisms to handle other types of transformations. In this work, we pay attention to scale changes, which regularly appear in various t…

2019-10-14abs ↗pdf ↗

IsoGCNs learn invariant and equivariant graph features for efficient simulations.

problem Learning isometric transformation invariant and equivariant features in graphs for simulations.
method Transformation invariant and equivariant Graph Convolutional Networks (IsoGCNs).
result IsoGCNs outperform state-of-the-art methods on geometrical and physical simulation tasks.

The paper generalizes equivariant neural networks on homogeneous spaces to the non-linear setting.

problem Equivariant neural networks on homogeneous spaces.
method Deriving generalized steerability constraints for non-linear equivariant layers.
result The universality of the derived construction for non-linear equivariant layers.

Rotationally equivariant convolutions improve molecular property prediction.

problem Predicting molecular properties using graph neural networks.
method Ablation study with rotationally equivariant and invariant convolutions on QM9 data set.
result Rotationally equivariant layers decrease test error by an average of 23%.