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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.

169,291 papers · 148 categories

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48 results for hyperbolically embedded collections

Groups without non-trivial finite normal subgroups have a strong ping pong property.

problem Proving a strong ping pong property for acylindrically hyperbolic groups.
method Proving the PnaiveP_{naive} property for groups with no non-trivial finite normal subgroups.
result Groups satisfying the condition have a strong ping pong property.

Random subgroups of hyperbolic groups often form free groups and are hyperbolically embedded.

problem Understanding the structure of random subgroups in acylindrically hyperbolic groups.
method Examining a random subgroup generated by independent random walks.
result Random subgroups are often free groups and hyperbolically embedded in the group.

Maps and embeddings between hyperbolic spaces and their boundaries studied.

problem Understanding relations between maps and embeddings between relatively hyperbolic spaces and their boundaries.
method Establishing correspondences between quasi-isometric embeddings and quasisymmetric embeddings, using polynomial distortion.
result Characterization of hyperbolic relative groups with polynomial distortion embeddings.

We show that any infinite order element gg of a virtually cyclic hyperbolically embedded subgroup of a group GG is Morse, that is to say any quasi-geodesic connecting points in the cyclic group CC generated by gg stays close to CC. This answers a question of Dahmani-Guirardel-Osin. What is more, we show that hyper…

2013-10-29abs ↗pdf ↗

The study finds infinite meridional essential surfaces in hyperbolic knot exteriors of various genera.

problem Existence of meridional essential surfaces in hyperbolic knot exteriors.
method Essential tangle decompositions and meridional essential embeddings.
result Infinite collection of hyperbolic knots with meridional essential surfaces of arbitrary genus and boundary components.

New subgroups of mapping class groups constructed for infinite-type surfaces.

problem Constructing new subgroups of mapping class groups for infinite-type surfaces.
method Utilization of special homeomorphisms called shift maps and multipush maps.
result Countably (and uncountably in certain cases) many non-conjugate embeddings of subgroups into mapping class groups.

Word embeddings in hyperbolic space outperform Euclidean ones.

problem Improving word embeddings for better performance.
method Learning word embeddings in hyperbolic space using skip-gram architecture and hyperbolic distance objective function.
result Hyperbolic word embeddings show potential, especially in low dimensions, but not clear superiority over Euclidean embeddings.

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.

Geodesically embeds simplest arithmetic hyperbolic manifolds into higher dimensions.

problem Embedding arithmetic hyperbolic manifolds.
method Proving embedding into arithmetic hyperbolic (n+1)(n+1)-manifolds or their universal mod 2\mathrm{mod}~2 Abelian covers.
result Arithmetic hyperbolic manifolds of simplest type can be geodesically embedded.

This work learns low-rank hyperbolic embeddings for tasks with hierarchical structures.

problem Learning hyperbolic embeddings of tasks with hierarchical structures.
method Formulated as manifold optimization problems and proposed computationally efficient algorithms.
result Efficacy of the proposed approach demonstrated through empirical results.

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.

Study on embedding hyperbolic 2-orbifolds in Bianchi orbifolds.

problem Embedding closed totally geodesic hyperbolic 2-orbifolds in Bianchi orbifolds.
method Analyzing Bianchi orbifolds H3/PSL(2,Od)\mathbb{H}^3/PSL(2,\mathcal{O}_d) for large dd.
result Existence of at least cdcd closed embedded totally geodesic hyperbolic 2-orbifolds for large dd.

We study strip deformations of convex cocompact hyperbolic surfaces, defined by inserting hyperbolic strips along a collection of disjoint geodesic arcs properly embedded in the surface. We prove that any deformation of the surface that uniformly lengthens all closed geodesics can be realized as a strip deformation, in…

2014-07-21abs ↗pdf ↗

This work improves KG embeddings by integrating hyperbolic and attention mechanisms.

problem Preserving hierarchical and logical patterns in KGs with low-dimensional embeddings.
method Combines hyperbolic reflections/rotations with attention mechanisms to capture complex relational patterns.
result Improves MRR by up to 6.1% on standard benchmarks and new state-of-the-art results in high dimensions.

This paper introduces an acceleration structure for hyperbolic embeddings.

problem Efficiently embedding and visualizing high-dimensional data in hyperbolic spaces.
method Building upon a polar quadtree, the paper introduces a new acceleration structure for hyperbolic embeddings.
result The new method computes embeddings in significantly less time compared to existing methods.

Hyperbolic embeddings reduce dimensions for hierarchical data with high precision.

problem Embedding hierarchical data structures like synonym or type hierarchies efficiently.
method Combinatorial construction and hyperbolic multidimensional scaling (h-MDS) for metric spaces.
result Hyperbolic embeddings achieve high precision with few dimensions, e.g., 0.989 MAP with only 2 dimensions on WordNet.

We introduce and study the notion of relative rigidity for pairs $(X,\JJ)$ where 1) XX is a hyperbolic metric space and $\JJ$ a collection of quasiconvex sets 2) XX is a relatively hyperbolic group and $\JJ$ the collection of parabolics 3) XX is a higher rank symmetric space and $\JJ$ an equivariant collection of ma…

2007-04-16abs ↗pdf ↗

Researchers develop hyperbolic neural networks for improved data embedding.

problem Lack of hyperbolic neural network layers limits the use of hyperbolic embeddings in machine learning.
method Combining Möbius gyrovector spaces and Riemannian geometry of the Poincaré model to derive hyperbolic neural network layers.
result Hyperbolic sentence embeddings outperform or match Euclidean variants on textual entailment and noisy-prefix recognition tasks.

MuRP embeds multi-relational graphs in hyperbolic space for better hierarchical representation.

problem Current hyperbolic models struggle with multi-relational knowledge graphs that exhibit multiple hierarchies.
method MuRP embeds multi-relational graph data in the Poincaré ball model of hyperbolic space, learning relation-specific parameters for entity embeddings.
result MuRP embeddings outperform Euclidean counterparts and other methods on link prediction tasks, especially at lower dimensions.

Unified framework for hyperbolic network embedding considering multiplex interactions.

problem Misleading results from ignoring multiplex interactions in real-world networks.
method Combines multiplex network hyperbolic embedding and community detection using random walk.
result Effective and efficient node embedding across multiplex channels compared to state-of-the-art.

BIGUE algorithm provides credible intervals for hyperbolic network embeddings.

problem Uncertainty in hyperbolic network embeddings.
method Markov chain Monte Carlo (MCMC) algorithm for Bayesian hyperbolic random graph model.
result Samples from the posterior distribution provide credible intervals for hyperbolic coordinates and network properties.

Essential embeddings of metric graphs on hyperbolic surfaces are constructed and studied.

problem Embedding metric graphs on hyperbolic surfaces with negative Euler characteristic.
method Construction of essential embeddings and study of minimal embeddings.
result Formula to compute essential genus and method for explicit essential embedding.

Efficiently learns high-quality hierarchical embeddings in hyperbolic space.

problem Discovering hierarchical relationships from large-scale similarity scores.
method Used the Lorentz model of hyperbolic geometry to learn embeddings efficiently.
result The proposed approach yields high-quality embeddings that improve over Poincaré embeddings, especially in low dimensions.

We show that for certain hyperbolic 3-manifolds, all boundary slopes are slopes of immersed incompressible surfaces, covered by incompressible embeddings in some finite cover. The manifolds include hyperbolic punctured torus bundles and hyperbolic two-bridge knots.

1999-01-09abs ↗pdf ↗

New result on embedding cohomology of hyperbolic groups.

problem Embedding cohomology of hyperbolic groups into their virtually free subgroups.
method Probabilistic argument and inverse limit of cohomologies.
result Second bounded cohomology of acylindrically hyperbolic groups embeds into cohomologies of virtually free subgroups.

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 shows how coarse embeddings affect homological Dehn functions.

problem Characterizing groups with coarse embeddings into hyperbolic groups.
method Demonstrates a coarse embedding theorem for homological filling functions.
result Characterizes groups with coarse embeddings into hyperbolic groups of geometric dimension 2.

Study volumes of hyperbolic 3-manifolds formed by curves on surfaces.

problem Understanding volumes of hyperbolic 3-manifolds formed by curves on surfaces.
method Study of stratified hyperbolic links in Seifert-fibered spaces and comparison of volumes to distances in pants graphs.
result Volume of PT(S)Γ^PT(S) \setminus \hatΓ is coarsely comparable to Weil-Petersson distance between strata in Teichmüller space.