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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.

169,051 papers · 148 categories

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3.1%6.3%9.4%12.5% · Jun 199519922001200920172026
48 results for cell stratifications

Study lifts Schubert stratification to Spinn+1Spin_{n+1}, revealing new Bruhat cells.

problem Lifting Schubert stratification to Spinn+1Spin_{n+1}.
method Explicit parameterizations of Bruhat cells using minimal-length permutations.
result Stratification of Spinn+1Spin_{n+1} reveals new geometric structure.

This paper provides a stratification of semi-algebraic sets in the plane with finitely many geodesic segments.

problem How to stratify semi-algebraic sets in the plane with finitely many geodesic segments.
method Develops a semi-algebraic stratification of a real semi-algebraic set in the plane with open cells having the finiteness property.
result Provides insights for high-dimensional stratifications of semi-algebraic sets in connection with geodesics.

The study refines contingency matrices for complex stratification and braid group cohomology.

problem Combinatorics of contingency matrices and their applications.
method Refinement of complex stratification and study of braid group cohomology.
result Totally positive meta-matrix formed by contingency matrix sizes.

Along with excursions into manifolds with corners, resolution towers of Thom and Whitney stratifications, I show that for a generic gradientlike vector field on a manifold with a Morse function, the stable manifolds give a CW decomposition of the manifold. This has been done before.

2016-10-24abs ↗pdf ↗

We prove that the complement of any affine 2-arrangement in R^d is minimal, that is, it is homotopy equivalent to a cell complex with as many i-cells as its i-th rational Betti number. For the proof, we provide a Lefschetz-type hyperplane theorem for complements of 2-arrangements, and introduce Alexander duality for co…

2012-11-06abs ↗pdf ↗

Improved patient risk stratification with relaxed parameter sharing in clinical time-series data.

problem Learning time-varying relationships in clinical time-series data with limited training data.
method Proposed a novel RNN formulation based on a mixture model with relaxed parameter sharing over time.
result Relaxed parameter sharing leads to improved patient risk stratification performance in settings with limited data.

We prove the existence of Verdier stratifications for sets definable in any o-minimal structure on (R, +, .). It is also shown that the Verdier condition (w) implies the Whitney condition (b) in o-minimal structures on (R, +, .). As a consequence the Whitney Stratification Theorem holds. The existence of (wf)-stratific…

1997-04-14abs ↗pdf ↗

New Morse functions on curve moduli space via geodesics.

problem Understanding the moduli space of curves via geometric and combinatorial methods.
method Introducing Morse functions based on geodesic lengths and analyzing their critical points and indices.
result Found new explicit Morse functions on Mg,n\overline{\mathcal{M}}_{g,n}, leading to a combinatorial cell decomposition.

The paper studies HKKN stratifications for non-compact spaces and proves convexity properties.

problem Proving convexity properties of moment maps for non-compact subsets.
method Algebraic and analytical study of HKKN stratifications for a vector space and compact Kähler manifold, then applying to non-compact subsets.
result Convexity properties of moment maps for invariant subsets are proven.

Scalable GPLVM reduces complexity in scRNA-seq data, accounting for technical and biological confounders.

problem Complexity and confounders in scRNA-seq data hamper interpretation.
method Extended Gaussian process latent variable model (GPLVM) to handle large datasets.
result Framework reconstructs latent signatures and captures disease-specific gene expression.

Stratifies representation varieties of twisted Hopf links.

problem Stratifying representation varieties of twisted Hopf links.
method Using stratification of AGLr(C)\mathrm{AGL}_r(\mathbb{C})-representation varieties of the fundamental group of the complement of a twisted Hopf link.
result Explicit description and computation of motives for ranks 1 and 2.

The paper defines a stratification for Lie groupoids in a tame topology context.

problem Presenting a tame topology counterpart to canonical stratification of Lie groupoids.
method Using Shiota's isotopy lemma and approximation theorem, the paper defines a canonical Whitney stratification of definable Lie groupoids into invariant strata.
result A canonical Whitney stratification of the Lie groupoid into definable strata invariant under the groupoid action.

Hidden stratification causes machine learning models to fail on rare but important patient subgroups.

problem Machine learning models fail on rare patient subgroups not identified during training or testing.
method Assessed techniques for measuring and describing hidden stratification effects on multiple medical imaging datasets.
result Evidence of hidden stratification leading to over 20% performance differences on clinically important subsets.

New stratification reveals intrinsic singularity types of orbit spaces.

problem Understanding the intrinsic structure of orbit spaces under Lie group actions.
method Introduced the isostabilizer decomposition and established a map to Klein strata.
result A new canonical stratification on the manifold clarifies the relationship with classical structures.

Social media enhances or diminishes scientific status, depending on usage.

problem Impact of social media on scientific stratification and mobility.
method Logistic Attribution Analysis combining statistical and machine learning methods.
result Social media promotes stratification and mobility, but beyond a threshold, it negatively impacts status.

The notion of cellular stratified spaces was introduced in a joint work of the author with Basabe, González, and Rudyak [1009.1851] with the aim of constructing a cellular model of the configuration space of a sphere. In particular, it was shown that the classifying space (order complex) of the face poset of a totally …

2011-06-19abs ↗pdf ↗

Study clarifies variance of stratification estimators for causal effects.

problem Estimating average causal effects with discrete covariates.
method Combines insights from potential outcomes, causal diagrams, and structural models.
result Derives expressions for the variance of stratification estimators.

We study the topology of the inertia space of a smooth GG-manifold MM where GG is a compact Lie group. We construct an explicit Whitney stratification of the inertia space, demonstrating that the inertia space is a triangulable differentiable stratified space. In addition, we demonstrate a de Rham theorem for differ…

2012-07-03abs ↗pdf ↗

The paper stratifies projective measured laminations and identifies a group of transformations.

problem Stratifying the space of projective measured laminations.
method Introducing a natural stratification and proving rigidity results.
result The group of self-homeomorphisms preserving the stratification is identified with the extended mapping class group.

The paper describes a stratification of a compactified Hurwitz space using combinatorial trees.

problem Describing the boundary stratification of a compactified Hurwitz space.
method Using decorated trees to describe the boundary strata and their containment relations.
result The boundary strata of the compactified Hurwitz space are in bijection with decorated trees, and containment is given by edge contraction.

Let GG be a Lie group, and let (M,ω)(M,ω) be a symplectic manifold. If GG admits a Hamiltonian action on (M,ω)(M,ω) with momentum map μμ, then MM, the zero-level set of μμ, the orbit space, and the corresponding symplectic quotient all have induced stratifications. We push this setting into the language of differential …

2011-04-20abs ↗pdf ↗

The paper offers simple, near-optimal algorithms for multi-group learning.

problem Learning predictors within subgroups of a population, addressing fairness and hidden stratification.
method Studies the structure of solutions and provides simple, near-optimal algorithms.
result Simple and near-optimal algorithms for multi-group learning.

The monster tower is a tower of spaces over a specified base; each space in the tower is a parameter space for curvilinear data up to a specified order. We describe and analyze a natural stratification of these spaces.

2016-06-25abs ↗pdf ↗

Study chaotic dynamics in social stratification models leading to thermalization and turbulence.

problem Understanding social stratification dynamics through chaotic nonlinear systems.
method Modeling social network links with oscillators and energies, studying Hamiltonian evolution and nonlinear interactions.
result Chaotic dynamics leads to dynamical thermalization and Kolmogorov-Zakharov turbulence, with implications for wealth inequality.

Study almost rigidity of super Ricci flow with non-negative Muller quantity.

problem Almost rigidity properties of super Ricci flow with non-negative Muller quantity.
method Almost splitting and quantitative stratification theorems established by Bamler for Ricci flow.
result Obtained almost constancy for a certain integral quantity concerning scalar curvature at an almost self-similar point.

Study identifies and estimates treatment effect heterogeneity within principal stratification subpopulations.

problem Causal inference with intermediate outcomes and treatment effect heterogeneity.
method Proposes a novel doubly cross-fit doubly robust machine learner to efficiently learn conditional principal causal effects under principal ignorability.
result Demonstrates informative patterns of treatment effect heterogeneity within the always-survivor subpopulation in an acute lung injury trial.

New method improves compatibility of risk stratification models without sacrificing accuracy.

problem Compatibility issues arise when updating clinical machine learning models.
method Proposes rank-based compatibility measure and new loss function.
result Increased compatibility of models by 0.019 with no loss in discriminative performance.

A homology stratification is a filtered space with local homology groups constant on strata. Despite being used by Goresky and MacPherson [Intersection homology theory: II, Inventiones Mathematicae, 71 (1983) 77-129] in their proof of topological invariance of intersection homology, homology stratifications do not appe…

1999-11-21abs ↗pdf ↗

Deep learning model creates patient representations for scalable EHR-based stratification.

problem Challenges in summarizing and representing patient data from EHRs prevent scalable stratification analysis.
method Unsupervised framework based on deep learning (ConvAE) using word embeddings, CNNs, and autoencoders.
result ConvAE significantly outperformed baselines in clustering diverse patient cohorts, identifying clinically relevant subtypes.

Clarifies the structure of quantum states using algebraic methods.

problem Unclear stratification of quantum states in physics literature.
method Analyzes the state space S(A) of a finite-dimensional C*-algebra A, focusing on unitary orbits and their properties.
result Identifies a natural Whitney stratification of the state space into matrices of fixed rank, providing a pseudo-manifold structure.