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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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14284155 · May 202619922001200920172026
48 results for homology cells

Let FΘ=G/PΘ\mathbb{F}_{Θ}=G/P_{Θ} be a generalized flag manifold, where GG is a real noncompact semi-simple Lie group and PΘP_{Θ} a parabolic subgroup. A classical result says the Schubert cells, which are the closure of the Bruhat cells, endow FΘ\mathbb{F}_Θ with a cellular CW structure. In this paper we exhibit explicit …

2018-10-01abs ↗pdf ↗

In the framework of homological characterizations of relative hyperbolicity, Groves and Manning posed the question of whether a simply connected 22-complex XX with a linear homological isoperimetric inequality, a bound on the length of attaching maps of 22-cells and finitely many 22-cells adjacent to any edge must …

2015-01-06abs ↗pdf ↗

This article introduces descriptive cellular homology on cell complexes, which is an extension of J.H.C. Whitehead's CW topology. A main result is that a descriptive cellular complex is a topology on fibres in a fibre bundle. An application of two forms of cellular homology is given in terms of the persistence of shape…

2018-01-05abs ↗pdf ↗

Study of Betti numbers in prodsimplicial complexes for directed graphs, focusing on DNA recombination.

problem Analyzing Betti numbers in directed graphs for DNA recombination.
method Custom prodsimplicial complexes for acyclic directed graphs, investigating Betti numbers.
result Investigated Betti numbers and cycles in prodsimplicial complexes for DNA recombination.

We study the problem of computing the homology of the configuration spaces of a finite cell complex XX. We proceed by viewing XX, together with its subdivisions, as a subdivisional space--a kind of diagram object in a category of cell complexes. After developing a version of Morse theory for subdivisional spaces, we …

2017-08-08abs ↗pdf ↗

A qualgebra GG is a set having two binary operations that satisfy compatibility conditions which are modeled upon a group under conjugation and multiplication. We develop a homology theory for qualgebras and describe a classifying space for it. This space is constructed from GG-colored prisms (products of simplices) …

2017-11-16abs ↗pdf ↗

Let Map(K,X) denote the space of pointed continuous maps from a finite cell complex K to a space X. Let E_* be a generalized homology theory. We use Goodwillie calculus methods to prove that under suitable conditions on K and X, Map(K, X) will send a E_*--isomorphism in either variable to a map that is monic in E_* hom…

2004-07-08abs ↗pdf ↗

This article is one of three highly influential articles on the topology of manifolds written by Robert D. Edwards in the 1970's but never published. It presents the initial solutions of the fabled Double Suspension Conjecture. (The other two articles are: 'Approximating certain cell-like maps by homeomorphisms' and 'T…

2006-10-18abs ↗pdf ↗

Examples of Morse functions with integrable gradient flows on some classical Riemannian manifolds are considered. In particular, we show that a generic height function on the symmetric embeddings of classical Lie groups and certain symmetric spaces is a perfect Morse function, i.e. has as many critical points as the ho…

1995-06-09abs ↗pdf ↗

New insights into data geometry reveal manifold structure in grid-cell activity.

problem Understanding the roles of different dimensions in data geometry.
method Generalised Hanson-Wright inequality and random function model analysis.
result Persistence diagrams reveal latent homology and manifold structure.

We present new, unified proofs for the cell-like, Z/p\mathbb{Z}/p-, and Q\mathbb{Q}-resolution theorems. Our arguments employ extensions that are much simpler then those used by our predecessors. The techniques allow us to solve problems involving cohomology groups by converting them into problems about homology groups…

2017-06-05abs ↗pdf ↗

The paper examines topological features of ReLU networks and their relation to decision boundaries and training loss.

problem Understanding the topological structure of ReLU neural network activation patterns.
method Polytope decomposition of feature space, Fiedler partition of dual graph, homology computation of cellular decomposition.
result The Fiedler partition of the dual graph correlates with decision boundaries in binary classification tasks, and similar patterns in training loss and polyhedral cell-count emerge in regression tasks.

Study homology manifolds using spectral sheaves and spectral six functor formalism.

problem Characterize and understand homology manifolds through spectral sheaves.
method Adapt six functor formalism to spectral sheaves on locally compact Hausdorff spaces.
result Prove that compact ANR homology manifolds are Poincaré duality complexes.

Fintushel and Stern defined the rational blow-down construction [FS] for smooth 4-manifolds, where a linear plumbing configuration of spheres CnC_n is replaced with a rational homology ball BnB_n, n2n \geq 2. Subsequently, Symington [Sy] defined this procedure in the symplectic category, where a symplectic CnC_n (given…

2013-03-11abs ↗pdf ↗

The paper develops methods for calculating equivariant homology from Morse functions.

problem Calculating equivariant homology from equivariant Morse functions.
method Alter equivariant Morse functions to stable ones, use generic equivariant metrics, and analyze the Morse spectral sequence.
result Equivariant Morse functions induce a filtration that computes equivariant homology.

The main results of this paper are: (1) If a space XX can be embedded as a cellular subspace of Rn\mathbb{R}^n then XX admits arbitrary fine open coverings whose nerves are homeomorphic to the nn-dimensional cube Dn\mathbb{D}^n; (2) Every nn-dimensional cell-like compactum can be embedded into (2n+1)(2n+1)-dimensional …

2015-02-07abs ↗pdf ↗

The issue of computing (co)homology generators of a cell complex is gaining a pivotal role in various branches of science. While this issue can be rigorously solved in polynomial time, it is still overly demanding for large scale problems. Drawing inspiration from low-frequency electrodynamics, this paper presents a ph…

2012-12-06abs ↗pdf ↗

Let A be an essential complex hyperplane arrangement in an n-dimensional complex vector space V. Let H denote the union of the hyperplanes, and M denote the complement to H in V. We develop the real-valued and circle-valued Morse theory for M and prove, in particular, that M has the homotopy type of a space obtained fr…

2011-01-02abs ↗pdf ↗

This study reviews and evaluates clustering methods for single-cell RNA-seq data.

problem Identifying and characterizing novel cell types from single-cell RNA-seq data.
method Review and performance comparison of clustering methods.
result Performance comparison experiments on two datasets.

Forest Fire Clustering discovers cell types from single-cell data.

problem Discovering cell types from large-scale single-cell sequencing data.
method Iterative label propagation and parallelized Monte Carlo simulation.
result Forest Fire Clustering outperforms state-of-the-art methods on diverse benchmarks.

Proposes CCCVAE for better single-cell clustering with cell-cell communication.

problem Improving single-cell RNA sequencing clustering by incorporating cell-cell communication.
method Integrates cell-cell communication into a variational autoencoder framework.
result Empirical results show CCCVAE outperforms standard VAEs in clustering performance.

Matching cells over time has long been the most difficult step in cell tracking. In this paper, we approach this problem by recasting it as a classification problem. We construct a feature set for each cell, and compute a feature difference vector between a cell in the current frame and a cell in a previous frame. Then…

2012-07-13abs ↗pdf ↗

Improved GPLVM model for single-cell RNA-seq data.

problem Lack of effective scalable models for clustering cell types in large-scale single-cell RNA-seq data.
method Introduces amortized stochastic variational Bayesian GPLVM (BGPLVM) tailored for single-cell RNA-seq.
result Matches the performance of scVI on synthetic and real-world datasets and reveals more interpretable latent structures.

The study identifies all possible vector field structures on specific 2D shapes.

problem Optimal discrete gradient vector fields on surfaces with 1-2 critical cells.
method Analysis of discrete vector fields on 2D shapes with minimal critical cells.
result All possible structures of discrete Morse functions on specified shapes.

Study configuration spaces of punctured spaces, focusing on homology and group actions.

problem Homology of configuration spaces of punctured spaces.
method Analyzes configuration spaces of punctured spaces, using CW-complexes and Borel-Moore homology.
result Homology groups of configuration spaces depend on the fundamental group of the punctured space.

New model identifies cell-specific genes for cancer prognosis.

problem No statistical model to integrate multiscale cancer data.
method Bayesian generalized promotion time cure models (GPTCMs).
result Improves cancer prognosis by identifying cell-specific genes.

MarkerMap selects key genes for cell type analysis in single-cell RNA-seq.

problem Selecting informative genes from large single-cell RNA-seq datasets is challenging and computationally intensive.
method MarkerMap is a generative model that identifies minimal gene sets explaining cell type variability.
result MarkerMap outperforms existing methods in both supervised and unsupervised marker selection.

New metric scores perturbations across populations, not cells, improving model comparison.

problem Single-cell perturbation data overlaps, making per-cell accuracy unreliable.
method Average per-cell probability vectors over all cells of a perturbation to form a population profile and rank candidate perturbations.
result Classifier Discrimination Score (CDS) identifies true perturbation more reliably than pseudobulk-based scores.

The process of morphogenesis, which can be defined as an evolution of the form of an organism, is one of the most intriguing mysteries in the life sciences. It is clear, that gene expression patterns cannot explain the development of the precise geometry of an organism and its parts in space. Here, we suggest a set of …

2012-05-05abs ↗pdf ↗

The kth finite subset space of a topological space X is the space exp_k X of non-empty finite subsets of X of size at most k, topologised as a quotient of X^k. The construction is a homotopy functor and may be regarded as a union of configuration spaces of distinct unordered points in X. We show that the finite subset …

2003-11-21abs ↗pdf ↗

NESS improves neighbor embedding for smooth cell-state transitions in single-cell data.

problem Challenges in extracting smooth, low-dimensional representations from noisy single-cell data.
method Builds on PCS framework to develop NESS, a stable machine learning approach.
result NESS consistently yields useful biological insights across diverse single-cell datasets.

New method enhances graph neural networks using contractions and hourglass persistence.

problem Limitations of traditional persistent homology in graph neural networks.
method Hourglass Persistence, Contraction Homology, contractions as a topological operation.
result Hourglass Persistence boosts expressivity, learnability, and stability in graph representation learning.

We extend cell decomposition to moduli space of convex projective structures.

problem Cell decomposition of moduli space of convex projective structures.
method Use Fock and Goncharov's A\mathcal{A}-coordinates and edge-flipping algorithm.
result Holonomy groups are semi-arithmetic in many cases.