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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.

168,695 papers · 148 categories

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48 results for non-finitely generated

Study irrational pencils on complex manifolds, finding non-finitely generated homology.

problem Understanding the homology of the kernel induced by irrational pencils on complex manifolds.
method Analyzing critical points and homology of fundamental groups of complex manifolds.
result Homology of the kernel of the morphism induced by the pencil on fundamental groups is not finitely generated.

We investigate the coarse homology of leaves in foliations of compact manifolds. This is motivated by the observation that the non-leaves constructed by Schweitzer and by Zeghib all have non-finitely generated coarse homology. This led us to ask whether the coarse homology of leaves in a compact manifold always has to …

2014-11-11abs ↗pdf ↗

Paper detects non-trivial cycles in embedding spaces using graph integrals.

problem Detecting non-trivial cycles in embedding spaces.
method Construct cycles from chord diagrams, use modified configuration space integrals, and pair arguments.
result Non-trivial cycles in embedding spaces are detected.

In this note we consider the relationship between the dressing action and the holonomy representation in the context of constant mean curvature surfaces. We characterize dressing elements that preserve the topology of a surface and discuss dressing by simple factors as a means of adding bubbles to a class of non finite…

2004-04-27abs ↗pdf ↗

In geometric group theory one uses group actions on spaces to gain information about groups. One natural space to use is the Cayley graph of a group. The Cayley graph arguments that one encounters tend to require local finiteness, and hence finite generation of the group. In this paper, I take the theory of intersectio…

2011-05-27abs ↗pdf ↗

Study mapping class groups of 4-manifolds, proving non-finitely generated and splitting properties.

problem Characterize mapping class groups of 4-manifolds.
method Analyzes intersection lattices, automorphisms, and isotopy classes of diffeomorphisms.
result Proves non-finitely generated and splitting properties of mapping class groups.

The study solves a 2008 problem by Kalai about infinitely many homology-spheres.

problem Proving infinitely many homology-spheres with g3=0g_3 = 0 in dimensions higher than four.
method Using handlebody decompositions and PL manifolds with specific triangulations.
result There are infinitely many homology-spheres with g3=0g_3 = 0 in dimensions higher than four.

We classify the 3-dimensional hyperbolic polyhedral orbifolds that contain no embedded essential 2-suborbifolds, up to decomposition along embedded hyperbolic triangle orbifolds (turnovers). We give a necessary condition for a 3-dimensional hyperbolic polyhedral orbifold to contain an immersed (singular) hyperbolic tur…

2011-02-01abs ↗pdf ↗

We give lower bounds for the growth of the number of Reeb chords and for the volume growth of Reeb flows on spherizations over closed manifolds M that are not of finite type, have virtually polycyclic fundamental group, and satisfy a mild assumption on the homology of the based loop space. For the special case of geode…

2013-09-25abs ↗pdf ↗

Smooth resolutions found for quotient of R^2 by infinite discrete groups.

problem Symplectic resolutions of quotient spaces by infinite discrete subgroups.
method Constructing smooth symplectic resolutions for R^2 under infinite discrete subgroups of GL_2(R).
result Minimal resolutions of Du Val singular varieties are symplectic resolutions of R^2/G.

Constructs 3D topological field theories from a specific quantum group, linking to physics invariants.

problem Developing topological field theories from non-semisimple quantum groups.
method Using the unrolled quantum group of osp(12)\mathfrak{osp}(1 \vert 2) and a relative modular structure on weight modules.
result Establishes a connection between constructed invariants and physicists' Z^\widehat{Z}-invariants.

The bundle approach and n-contextuality reveal quantum model contextuality.

problem Understanding contextuality in quantum models using topology.
method Using the bundle approach, we describe contextuality as the non-existence of global sections in the measure bundle. We introduce n-contextuality to explore model dependence on scenario topology.
result Quantum theory and GHZ models exhibit all levels of n-contextuality, showing contextuality is related to holonomy group non-triviality.

Defines a new Poisson structure for generalized Sasakian spaces.

problem No specific problem stated; focuses on new structure definition.
method Defines a canonical Poisson structure on generalized contact metric spaces.
result Shows distinction between generalized Sasakian and coKähler structures.

Framework generates personalized insulin treatment strategies using deep models.

problem Developing optimal personalized treatment strategies for diabetes patients.
method Combines deep generative time series models with decision theory.
result Demonstrated improved personalized insulin treatment strategies for diabetes patients.

OptiGAN uses GAN and RL to optimize sequence generation for specific goals.

problem Challenging in sequence generation tasks to generate sequences with specific desired goals.
method Integrates GAN and RL to optimize desired goal scores using policy gradients.
result Achieves higher desired scores in text and real-valued sequence generation.

Develops a unified theory of Yang-Mills and GR using generalized principal bundles.

problem Combining Yang-Mills theories and General Relativity into a single framework.
method Using generalized principal bundle theory, the authors develop a new approach to field theories.
result Recover General Relativity within the framework of generalized principal connections.

Meta-CoTGAN improves adversarial text generation by preventing mode collapse.

problem Mode collapse in adversarial text generation.
method Meta-Cooperative Training Paradigm with a language model.
result Meta-CoTGAN effectively slows down mode collapse and improves generation quality and diversity.

Generative models can still learn from contaminated data, but with limitations.

problem How much contamination can generative models tolerate?
method Characterized robustness under contaminated enumerations, proving generation is achievable for all countable collections if contamination fraction converges to zero.
result Generation under contamination is achievable for all countable collections if contamination fraction converges to zero, but dense generation is strictly less robust.

Generative AI tasks analyzed for text, images, audio, video, code, and molecules.

problem What is the core question when using generative AI?
method Survey of generative model families, probabilistic framework, game-theoretic setup, post-training modifications, socially responsible considerations.
result Generative AI is a distinct machine learning task with connections to prediction, compression, and decision-making.

The twistor construction for Riemannian manifolds is extended to the case of manifolds endowed with generalized metrics (in the sense of generalized geometry à la Hitchin). The generalized twistor space associated to such a manifold is defined as the bundle of generalized complex structures on the tangent spaces of the…

2017-01-15abs ↗pdf ↗

This research proves guarantees on sequence models' generalization to longer and novel sequences.

problem Generalization to longer sequences and novel token combinations in sequence models.
method Provable guarantees on length and compositional generalization for various sequence models.
result Limited capacity models achieve both length and compositional generalization with diverse training distributions.

In this paper we define the notion of a generalized coKähler structure and prove that the product M1×M2M_{1}\times M_{2} of generalized contact metric manifolds (Mi,Φi,E±,i,Gi)(M_i, Φ_i,E_{\pm,i}, G_i), i=1,2 i=1, 2, where M1×M2M_{1}\times M_{2} is endowed with the product generalized complex structure induced from Φ1Φ_1 and Φ2Φ_2, is gener…

2015-02-25abs ↗pdf ↗

The paper extends symplectic techniques to generalized complex geometry.

problem Creating stable generalized complex structures on high-dimensional manifolds.
method Introducing generalized Luttinger surgery and generalized Gluck twist.
result Produced stable generalized complex structures with non-homotopy-equivalent components.

We study the problem of generating interesting endings for stories. Neural generative models have shown promising results for various text generation problems. Sequence to Sequence (Seq2Seq) models are typically trained to generate a single output sequence for a given input sequence. However, in the context of a story,…

2019-07-18abs ↗pdf ↗

A new method for generating sets and graphs without requiring exchangeability.

problem Generating exchangeable distributions for sets and graphs is challenging.
method Top-n creation, a differentiable generation mechanism that selects relevant points from a latent vector.
result Top-n method outperforms i.i.d. generation in various tasks.

Generalized tensor analysis in the sense of Colombeau's construction is employed to introduce a nonlinear distributional pseudo-Riemannian geometry. In particular, after deriving several characterizations of invertibility in the algebra of generalized functions we define the notions of generalized pseudo-Riemannian met…

2001-07-07abs ↗pdf ↗

It is known that the scalar curvature arises as the moment map in Kahler geometry. In pursuit of this analogy, we introduce the notion of a moment map in generalized Kahler geometry which gives the definition of a generalized scalar curvature on a generalized Kahler manifold. From the viewpoint of the moment map, we ob…

2016-12-24abs ↗pdf ↗