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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.

168,742 papers · 148 categories

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12.5%25.0%37.5%50.0% · Nov 199319922001200920172026
48 results for strongly dense representations

New representations of hyperbolic 3-manifold groups into larger groups.

problem Finding representations of hyperbolic 3-manifold groups into larger matrix groups.
method Holonomy representations from projective deformations of hyperbolic structures.
result First examples of strongly dense representations into SL(4,R)SL(4,\mathbb{R}) and SU(3,1)SU(3,1).

Cataclysm deformations study Anosov representations and their convergence.

problem Understanding convergence of Anosov representations under deformation.
method Cataclysm deformation of Anosov representations using twisted transverse cocycles.
result Uniform convergence of cataclysm deformations on compact sets.

Cataclysm deformations study Anosov representations, leading to new formulas and non-open sets.

problem Understanding Anosov representations and their deformations.
method Cataclysm deformations based on twisted transverse cocycles.
result Uniform convergence of cataclysm deformations on compact sets.

Random extrapolation speeds up coordinate descent for sparse and dense data.

problem Efficiently solving primal-dual coordinate descent for sparse and dense data.
method Adapts to sparsity and uses large step sizes for dense data, proving linear convergence under metric subregularity.
result Linear convergence under metric subregularity and optimal sublinear convergence rates in general convex-concave problems.

We show that any grafting ray in Teichmüller space determined by an arational lamination or a multi-curve is (strongly) asymptotic to a Teichmüller geodesic ray. As a consequence the projection of a generic grafting ray to moduli space is dense. We also show that the set of points in Teichmüller space obtained by integ…

2011-09-25abs ↗pdf ↗

In each manifold MM modeled on a finite or infinite dimensional cube [0,1]n[0,1]^n we construct a closed nowhere dense subset SMS\subset M (called a spongy set) which is a universal nowhere dense set in MM in the sense that for each nowhere dense subset AMA\subset M there is a homeomorphism h:MMh:M\to M such that $h(A)\sub…

2013-02-22abs ↗pdf ↗

We show that the bounded Borel class of any dense representation $ρ: G\to \PSL_n\bC$ is non-zero in degree three bounded cohomology and has maximal semi-norm, for any discrete group GG. When n=2n=2, the Borel class is equal to the 33-dimensional hyperbolic volume class. Using tools from the theory of Kleinian groups, …

2018-11-30abs ↗pdf ↗

DenseHMM improves HMMs by learning dense representations that enable gradient-based optimization.

problem Learning dense representations for hidden states and observables in HMMs.
method DenseHMM uses kernelized transition probabilities and two optimization schemes.
result DenseHMM achieves superior performance and expressiveness compared to standard HMMs.

ViCE uses superpixels to enhance self-supervised learning for better dense visual embeddings.

problem Lack of high-resolution feature maps from self-supervised models.
method Superpixels for dense representation learning, contrasting over regions.
result Improves unsupervised semantic segmentation on benchmarks like Cityscapes and COCO.

Characterizes Anosov representations and strongly convex cocompact groups with eigenvalue gaps.

problem Understanding Anosov representations and their properties.
method Characterizations via equivariant limit maps, Cartan property, and uniform gap summation.
result Characterizations of Anosov representations and strongly convex cocompact subgroups.

New domains of discontinuity found for Anosov representations.

problem Understanding Anosov representations acting on homogeneous spaces.
method Constructing open domains of discontinuity for Anosov representations acting on specific homogeneous spaces.
result Describes the largest possible open domains of discontinuity for Zariski dense Anosov representations.

Spectral graph sparsification preserves geometry of GNN embeddings.

problem Maintaining geometric properties of graph neural network embeddings during sparsification.
method Proving spectral sparsification preserves squared pairwise distances, class means, and covariance structure in embedding space.
result Spectral sparsification preserves the geometry of learned embeddings in GNNs.

The paper explores mapping class group quotients by Dehn twists and their representations.

problem Finite quotients and representations of mapping class groups by powers of Dehn twists.
method Construction of finite quotients using representations with Zariski dense images into semisimple Lie groups, and Long and Moody's method.
result The Fibonacci TQFT representation is a specialization of the Jones representation in genus 2.

We prove that a dense subgroup of Homeo+(I)\mathrm{Homeo}_{+}(I) is not elementary amenable. We also show that the topological group Homeo+(I)\mathrm{Homeo}_{+}(I) does not satisfy the Stability of the Generators Property, moreover, any finitely generated subgroup of Homeo+(I)\mathrm{Homeo}_{+}(I) admits a faithful discrete representation …

2013-12-05abs ↗pdf ↗

Heavy-tailed distributions are frequently used to enhance the robustness of regression and classification methods to outliers in output space. Often, however, we are confronted with "outliers" in input space, which are isolated observations in sparsely populated regions. We show that heavy-tailed stochastic processes (…

2010-06-19abs ↗pdf ↗

Let Γ1Γ_1 and Γ2Γ_2 be Bieberbach groups contained in the full isometry group GG of Rn\mathbb{R}^n. We prove that if the compact flat manifolds Γ1\RnΓ_1\backslash\mathbb{R}^n and Γ2\RnΓ_2\backslash\mathbb{R}^n are strongly isospectral then the Bieberbach groups Γ1Γ_1 and Γ2Γ_2 are representation equivalent, that is, the rig…

2012-10-02abs ↗pdf ↗

We show the set of faithful representations of a closed orientable hyperbolic surface group is dense in both irreducible components of the PSL(2,K) representation variety, where K is the field of real or complex numbers, answering a question of W. Goldman. We also prove the existence of faithful representations into PU…

2004-11-11abs ↗pdf ↗

We study the TQFT mapping class group representations for surfaces with boundary associated with the SU(2)SU(2) gauge group, or equivalently the quantum group $U_q(\Sl(2))$. We show that at a prime root of unity, these representations are all irreducible. We also examine braid group representations for transcendental valu…

2018-09-18abs ↗pdf ↗

We prove analogues for Cartan geometries of Gromov's major theorems on automorphisms of rigid geometric structures. The starting point is a Frobenius theorem, which says that infinitesimal automorphisms of sufficiently high order integrate to local automorphisms. Consequences include a stratification theorem describing…

2008-12-03abs ↗pdf ↗

This work lists and describes the main recent strategies for building fixed-length, dense and distributed representations for words, based on the distributional hypothesis. These representations are now commonly called word embeddings and, in addition to encoding surprisingly good syntactic and semantic information, ha…

2019-01-25abs ↗pdf ↗

This work proposes a method to learn sparse representations that are more efficient for large-scale data retrieval.

problem Efficient retrieval of high-dimensional representations from large databases is computationally challenging.
method The approach minimizes the number of floating-point operations (FLOPs) by learning sparse embeddings with uniform non-zero entries.
result The proposed method achieves a similar or better speed-vs-accuracy tradeoff compared to existing baselines.

We address feature interpretation and reproducibility issues in dense nets, proposing a modified loss function.

problem Feature interpretation and reproducibility issues in dense nets.
method Proposed a modified loss function to circumvent basis collapse.
result Substantially concise nets with 100x fewer parameters and lower MSE loss.

New method learns robot actions from videos without explicit labels.

problem Training robots to perform tasks from few demonstrations.
method Uses images and text for task-agnostic and general representation, synthesizes hallucinated actions, and applies dense correspondences.
result Trains robot policies solely from RGB videos, achieving diverse tasks across different robots and environments.

We study the problem of large-scale network embedding, which aims to learn latent representations for network mining applications. Previous research shows that 1) popular network embedding benchmarks, such as DeepWalk, are in essence implicitly factorizing a matrix with a closed form, and 2)the explicit factorization o…

2019-06-26abs ↗pdf ↗

New dataset and analysis improve evaluation of visual representation models.

problem Insufficient evaluation methods for visual representation models.
method Analyzed five representations and developed a new dataset.
result Models with poor linear classification performance can still perform well on complex tasks.

New properties established for SO(3) quantum representations, showing density and surjectivity.

problem Properties of SO(3) quantum representations of mapping class groups.
method Analyzing roots of unity and maximal ideals of Z[ζ_p] to establish properties.
result SO(3) quantum representations have dense image and are surjective modulo unramified maximal ideals.