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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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57114170227 · Jun 202619922001200920172026
48 results for ASD manifolds

The paper defines ASD connections and constructs families over a 5D Heisenberg group.

problem Defining and constructing ASD connections over a 5D Heisenberg group.
method Geometric approach using twistor spaces and Atiyah-Ward ansätz.
result Construction of families of ASD connections and their relation to vector bundles.

In this paper we announce a gluing theorem for conformal structures with anti-self-dual (ASD) Weyl tensor that applies in geometrical situations that are more general than those considered by previous authors. By adapting a method proposed by Floer, sufficient conditions are given for the existence of ASD conformal str…

1998-02-11abs ↗pdf ↗

We give new and rather general gluing theorems for anti-self-dual (ASD) conformal structures, following the method suggested by Floer. The main result is a gluing theorem for pairs of conformally ASD manifolds `joined' across a common piece (union of connected components) of their boundaries. This theorem genuinely ope…

2000-09-15abs ↗pdf ↗

Anti-self-dual (ASD) connections for a compact smooth four manifold arise as critical values for the Yang-Mills action functional. Nahm transform is a nice correspondence between a vector bundle with ASD connections and a vector bundle with ASD connections over Picard torus associated to X. In this talk we propose a no…

2018-07-22abs ↗pdf ↗

We study a moduli space of ASD connections over S3×RS^3\times \mathbb{R}. We consider not only finite energy ASD connections but also infinite energy ones. So the moduli space is infinite dimensional in general. We study the (local) mean dimension of this infinite dimensional moduli space. We show the upper bound on the …

2009-09-07abs ↗pdf ↗

We study an infinite dimensional ASD moduli space over the cylinder. Our main result is the formula of its local mean dimension. A key ingredient of the argument is the notion of non-degenerate ASD connections. We develop its deformation theory and show that there exist sufficiently many non-degenerate ASD connections …

2013-02-25abs ↗pdf ↗

Deep-learning model detects ASD from MRI data with high accuracy.

problem Challenges in diagnosing ASD due to subjective behavioral assessments and informant biases.
method Integrates deep-learning and SVM techniques to classify ASD brain scans.
result Highly accurate classification of ASD brain scans from neurotypical scans.

We give a correspondence between toric 3-Sasaki 7-manifolds S and certain toric Sasaki-Einstein 5-manifolds M. These 5-manifolds are all diffeomorphic to k#(S^2\times S^3), where k=2b_2(S)+1, and are given by a pencil of Sasaki embeddings of M in S and are given concretely by the zero set of a component of the 3-Sasaki…

2006-07-27abs ↗pdf ↗

Deep learning aids in autism diagnosis and rehabilitation using neuroimaging data.

problem Challenges in automated detection and rehabilitation of ASD using neuroimaging data.
method Deep learning techniques applied to neuroimaging data for ASD diagnosis and rehabilitation.
result Deep learning improves accuracy in ASD diagnosis and rehabilitation.

Study on instantons over product manifolds with a codimension-4 form.

problem Characterize dimension reduction for moduli spaces of generalized ASD instantons.
method Integrability results for families of connections, topological criteria, and explicit descriptions of moduli spaces.
result Complete characterization of dimension reduction for moduli spaces of generalized ASD instantons.

Formulae prove equivalence of two invariants on specific 4-manifolds.

problem Equivalence of two invariants on homology S1imesS3S^1 imes S^3.
method Surgery and excision formulas for Furuta-Ohta invariant λFOλ_{FO}.
result Computes λFOλ_{FO} of certain families of manifolds.

ASD algorithm maximizes model estimates by adaptively labeling points.

problem Maximizing model estimates through adaptive labeling of points in a sequential decision-making problem.
method Formulated a general information-directed sampling (IDS) algorithm with theoretical guarantees for linear, graph, and low-rank models.
result IDS algorithm outperforms in both simulation and real-data experiments for discovering chemical reaction conditions.

Machine learning for ASD diagnosis using morphological MRI networks.

problem Challenging to diagnose ASD using MRI due to heterogeneity and incomplete network neuroscience.
method Crowdsourced Kaggle competition to develop and benchmark ML pipelines.
result First-ranked team achieved 70% accuracy, 72.5% sensitivity, and 67.5% specificity.

Paper discusses ASD challenge for machine condition monitoring.

problem Detecting unknown anomalous sounds without labeled data.
method Design and evaluation of a large-scale ASD dataset, novel approaches.
result Several novel approaches developed, evaluation results analyzed.

DCASE 2021 ASD task tackles domain-shifted anomalous sound detection.

problem Detecting unknown anomalous sounds under domain-shifted conditions.
method Ensemble of outlier exposure and inlier modeling detectors, feature learning from machine identification.
result Two types of remarkable approaches were adopted by top teams.

DCASE 2022 Task 2 tackles domain shifts in ASD for machine condition monitoring.

problem Domain shifts change acoustic characteristics, affecting ASD performance.
method Domain generalization techniques to detect anomalies across unknown domains.
result Two types of domain generalization techniques were identified and analyzed.

In this paper we construct Riemannian metrics and weight functions over Casson handles. We show that the corresponding Atiyah-Hitchin-Singer complexes are Fredholm for some class of Casson handles of bounded type. Using these, the Yang-Mills moduli spaces are constructed as finite dimensional smooth manifolds over Cass…

2004-05-23abs ↗pdf ↗

In this article, we study the Kapustin-Witten equations on a closed, simply-connected, four-dimensional manifold which were introduced by Kapustin and Witten. We use the Taubes' compactness theorem in arXiv:1307.6447v4 to prove that if (A,φ)(A,φ) is a smooth solution of Kapustin-Witten equations and the connection AA is …

2017-03-20abs ↗pdf ↗

This paper develops a local analogue of the ADHM construction, which characterises ASD instantons defined over smooth bounded domains inside Euclidean R4\mathbb{R}^4 diffeomorphic to the 4-ball, in terms of infinite dimensional Hilbert spaces and bounded Hermitian linear operators satisfying an analogue of the ADHM equ…

2017-12-03abs ↗pdf ↗

In this article, we consider the Kapustin-Witten equations on a closed 44-manifold. We study certain analytic properties of solutions to the equations on a closed manifold. The main result is that there exists an L2L^{2}-lower bound on the extra fields over a closed four-manifold satisfying certain conditions if the c…

2016-01-29abs ↗pdf ↗

We study the deformation theory of G2\mathrm{G}_2-instantons on the 7-sphere, specifically those obtained from instantons on the 4-sphere via the quaternionic Hopf fibration. We find that the pullback of the standard ASD instanton lies in a smooth, complete, 15-dimensional family of G2\mathrm{G}_2-instantons. In genera…

2020-02-06abs ↗pdf ↗

Framework predicts clinical severity from rs-fMRI data using network optimization.

problem Predicting clinical severity from rs-fMRI data.
method Joint network optimization framework combining sparse subnetworks and linear regression.
result Framework outperforms standard methods and identifies clinically relevant ASD networks.

In this article we introduce a method to construct G2\rm{G}_2-instantons on G2\rm{G}_2-manifolds arising from Joyce's generalised Kummer construction. The method is based on gluing ASD instantons over ALE spaces to flat bundles on G2\rm{G}_2-orbifolds of the form T7/ΓT^7/ Γ. We use this construction to produce non-trivia…

2011-09-29abs ↗pdf ↗

Bryant and Salamon gave a construction of metrics of G2 holonomy on the total space of the bundle of anti-self-dual (ASD) 2-forms over a 4-dimensional self-dual Einstein manifold. We generalise it by considering the total space of an SO(3) bundle (with fibers R^3) over a 4-dimensional base, with a connection on this bu…

2016-02-10abs ↗pdf ↗

We review aspects of twistor theory, its aims and achievements spanning thelast five decades. In the twistor approach, space--time is secondary with events being derived objects that correspond to compact holomorphic curves in a complex three--fold -- the twistor space. After giving an elementary construction of this s…

2017-04-24abs ↗pdf ↗

We study the following question: Let (X,g)(X,g) be a compact Gauduchon surface, (E,h)(E,h) be a differentiable rank rr vector bundle on XX, D{\mathcal{D}} be a fixed holomorphic structure on D:=det(E)D:=\det(E) and aa be the Chern connection of the pair (D,det(h))(\mathcal{D},\det(h)). Does the complex space structure on ${\mathcal{M}}…

2017-01-12abs ↗pdf ↗

The abstract discusses instantons on flat spaces and provides explicit constructions.

problem Understanding instantons on flat spaces.
method Explains and provides explicit constructions of instantons on R4\mathbb{R}^4, R7\mathbb{R}^7, R8\mathbb{R}^8, and Hn\mathbb{H}^n.
result Natural generalizations of instantons on flat R4\mathbb{R}^4 to R7\mathbb{R}^7 and R8\mathbb{R}^8.

Study the geometry and symmetries of moduli spaces of connections on KT manifolds.

problem Investigate the geometry and symmetries of moduli spaces of Hermitian-Einstein and instanton connections on KT manifolds.
method Analyze the geometry and symmetries of moduli spaces of Hermitian-Einstein and instanton connections on KT manifolds, using vector fields and connections with skew-symmetric torsion.
result The geometry of moduli spaces can be modeled on principal bundles with specific fibre and base spaces.