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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.

168,695 papers · 148 categories

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2457 · Nov 201819922001200920172026
48 results for nice multisections

The study shows manifolds with special generic maps also have nice multisections.

problem Characterizing manifolds with special generic maps and multisections.
method Analyzing manifolds with special generic maps and their properties, and showing how these maps restrict the differentiable structures of spheres and manifolds.
result Manifolds admitting special generic maps also admit nice generalized multisections.

Multisections generalize Heegaard splittings and trisections to higher dimensions.

problem Decomposing higher-dimensional manifolds into 1-handlebodies with specific intersection properties.
method Considering multisections of higher-dimensional smooth or PL closed orientable manifolds, and associating diagrams to them.
result Multisection diagrams uniquely determine manifolds in all dimensions up to 6.

Study of curves in rational surfaces using multisections and torus actions.

problem Understanding curves in rational surfaces using multisections and torus actions.
method Analysis of multisections of embedded surfaces in rational 4-manifolds with torus actions.
result Every smooth, complex curve in CP^1 × CP^1 can be put in efficient bridge position with respect to a genus one 4-section.

In this article, we characterize isomorphism classes of Lefschetz fibrations with multisections via their monodromy factorizations. We prove that two Lefschetz fibrations with multisections are isomorphic if and only if their monodromy factorizations in the relevant mapping class groups are related to each other by a f…

2015-04-13abs ↗pdf ↗

Recently Gay and Kirby described a new decomposition of smooth closed 44-manifolds called a trisection. This paper generalises Heegaard splittings of 33-manifolds and trisections of 44-manifolds to all dimensions, using triangulations as a key tool. In particular, we prove that every closed piecewise linear nn-mani…

2016-02-10abs ↗pdf ↗

New invariant defined for Weinstein domains, related to Kirby-Thompson's invariant.

problem Defining a symplectic invariant for Weinstein domains.
method Contact cut graph, Lefschetz fibrations, multisections with divides.
result Definition of Weinstein L\mathcal{L}-invariant and its relation to Kirby-Thompson's invariant.

We illustrate an algorithm to classify nice nilpotent Lie algebras of dimension nn up to a suitable notion of equivalence; applying the algorithm, we obtain complete listings for n9n\leq9. On every nilpotent Lie algebra of dimension 7\leq 7, we determine the number of inequivalent nice bases, which can be 00, 11, o…

2018-03-25abs ↗pdf ↗

We introduce a systematic method to produce left-invariant, non-Ricci-flat Einstein metrics of indefinite signature on nice nilpotent Lie groups. On a nice nilpotent Lie group, we give a simple algebraic characterization of non-Ricci-flat left-invariant Einstein metrics in both the class of metrics for which the nice b…

2018-05-22abs ↗pdf ↗

We show that the "geometric models of matter" approach proposed by the first author can be used to construct models of anyon quasiparticles with fractional quantum numbers, using 4-dimensional edge-cone orbifold geometries with orbifold singularities along embedded 2-dimensional surfaces. The anyon states arise through…

2016-11-12abs ↗pdf ↗

Gay and Kirby introduced the notion of a trisection of a smooth 4-manifold, which is a decomposition of the 4-manifold into three elementary pieces. Rubinstein and Tillmann later extended this idea to construct multisections of piecewise-linear (PL) manifolds in all dimensions. Given a PL manifold YY of dimension nn,…

2019-04-02abs ↗pdf ↗

In this paper we use continuous family of multisections of the moduli space of pseudo holomorphic discs to partially improve, in the case of real coefficient, the construction of Lagrangian Floer cohomology of which the author developed jointly with Oh-Ohta-Ono. Namely we associate cyclically symmetric filtered A infin…

2009-07-24abs ↗pdf ↗

NICE model estimates causal effects for image treatments.

problem Challenges in causal effect estimation for multi-dimensional treatments.
method Proposes NICE model for image treatments, incorporating rich multidimensional information.
result NICE significantly outperforms existing models in estimating causal effects for image treatments.

NICE learns a representation to avoid bad controls in causal inference.

problem Avoiding bad controls in causal inference from observational data.
method Uses invariant risk minimization (IRM) to learn a representation of covariates that avoids bad controls.
result NICE outperforms adjusting for all covariates in cases with unknown collider variables and bad controls.

Let M be a compact oriented even-dimensional manifold. This note constructs a compact symplectic manifold S of the same dimension and a map f from S to M of strictly positive degree. The construction relies on two deep results: the first is a theorem of Ontaneda that gives a Riemannian manifold N of tightly pinched neg…

2019-05-14abs ↗pdf ↗

In some sense, the world is composed of shapes and words, of continuous things and discrete things. The recognition and study of continuous objects in the form of shapes occupies a significant part of the effort of unraveling many geometric questions. Shapes can be rep- resented with great generality by objects called …

2015-04-19abs ↗pdf ↗

Existing Markov Chain Monte Carlo (MCMC) methods are either based on general-purpose and domain-agnostic schemes which can lead to slow convergence, or hand-crafting of problem-specific proposals by an expert. We propose A-NICE-MC, a novel method to train flexible parametric Markov chain kernels to produce samples with…

2017-06-23abs ↗pdf ↗

Let GG be a real reductive Lie group and τ:GGL(V)τ:G \longrightarrow GL(V) be a real reductive representation of GG with (restricted) moment map $m_{\ggo}: V-{0} \longrightarrow \ggo$. In this work, we introduce the notion of "nice space" of a real reductive representation to study the problem of how to determine if a GG-…

2013-01-21abs ↗pdf ↗

Although neural networks are routinely and successfully trained in practice using simple gradient-based methods, most existing theoretical results are negative, showing that learning such networks is difficult, in a worst-case sense over all data distributions. In this paper, we take a more nuanced view, and consider w…

2016-09-05abs ↗pdf ↗

Deep learning improves causal effect estimation from complex observational data.

problem Estimating causal effects from complex observational data with low bias.
method Unified deep learning framework using multitask recurrent neural networks.
result Deep learning estimator shows lower bias in causal effect estimates.

We introduce a combinatorial method to construct indefinite Ricci-flat metrics on nice nilpotent Lie groups. We prove that every nilpotent Lie group of dimension 6\leq6, every nice nilpotent Lie group of dimension 7\leq7 and every two-step nilpotent Lie group attached to a graph admits such a metric. We construct inf…

2019-08-16abs ↗pdf ↗

Generalizes moment-angle manifolds to arbitrary nice manifolds with corners.

problem Computing cohomology groups and rings for moment-angle manifolds.
method Stable decomposition, rim-cubicalization, partial diagonal maps, polyhedral product.
result Derived formulas for integral cohomology groups and rings of moment-angle manifolds.

Constructs real algebraic functions with both compact and non-compact preimages.

problem Finding real algebraic functions with specific preimage properties.
method Explicit construction of real algebraic functions.
result Demonstrates real algebraic functions on non-compact manifolds with non-compact preimages.

Explaining the prediction of deep neural networks (DNNs) and semantic image compression are two active research areas of deep learning with a numerous of applications in decision-critical systems, such as surveillance cameras, drones and self-driving cars, where interpretable decision is critical and storage/network ba…

2019-08-09abs ↗pdf ↗

Given a rank-two sub-Riemannian structure (M,Δ)(M,Δ) and a point x0Mx_0\in M, a singular curve is a critical point of the endpoint map F:γγ(1)F:γ\mapstoγ(1) defined on the space of horizontal curves starting at x0x_0. The typical least degenerate singular curves of these structures are called \emph{regular singular curves}; the…

2018-10-30abs ↗pdf ↗

Cieliebak, Mundet i Riera and Salamon recently formulated a definition of branched submanifold of Euclidean space in connection with their discussion of multivalued sections and the Euler class. This note proposes an intrinsic definition of a weighted branched manifold Z that is obtained from the usual definition of or…

2005-09-28abs ↗pdf ↗

As a generalization of Davis-Januszkiewicz theory, there is an essential link between locally standard (Z2)n(\Z_2)^n-actions (or TnT^n-actions) actions and nice manifolds with corners, so that a class of nicely behaved equivariant cut-and-paste operations on locally standard actions can be carried out in step on nice mani…

2008-07-21abs ↗pdf ↗

Introduces new spaces for configurations of points with specific monodromies.

problem Configurations of points with specific monodromies in complex plane subspaces.
method Introduces Hurwitz-Ran spaces for configurations of points in XY\mathcal{X}\setminus\mathcal{Y} and Y\mathcal{Y} with monodromies in Q\mathcal{Q} and GG.
result Proves homeomorphism between Hurwitz-Ran spaces and simplicial Hurwitz spaces.