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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.

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1234 · Apr 202019922001200920172026
48 results for semi-equivelar gems

Classifies semi-equivelar gems on surfaces with Euler characteristic -1.

problem Classifying semi-equivelar gems on surfaces with negative Euler characteristic.
method Regular colored graphs representing PL dd-manifolds, cyclic sequence of face degrees around vertices.
result Identifies 12 types of semi-equivelar gems for surfaces with Euler characteristic -1.

This paper classifies semi-equivelar gems on a double torus.

problem Classifying semi-equivelar gems on surfaces with negative Euler characteristic.
method Regular colored graphs representing the double torus, with identical cyclic face degree sequences around each vertex.
result 31 types of semi-equivelar gems on the double torus.

If the face-cycles at all the vertices in a map on a surface are of same type then the map is called semi-equivelar. There are eleven types of Archimedean tilings on the plane. All the Archimedean tilings are semi-equivelar maps. If a map XX on the torus is a quotient of an Archimedean tiling on the plane then the map…

2017-05-12abs ↗pdf ↗

Semi-Equivelar maps are generalizations of Archimedean solids to the surfaces other than 2-sphere. In earlier work a complete classification of semi-equivelar map of type (35,4)(3^5, 4) on the surface of Euler characteristic -1 was given. In the meantime Karabas an Nedela classified vertex transitive semi-equivelar maps on…

2013-10-19abs ↗pdf ↗

Semi-Equivelar maps are generalizations of Archimedean Solids (as are equivelar maps of the Platonic solids) to the surfaces other than 22-Sphere. We classify some semi equivelar maps on surface of Euler characteristic -1 and show that none of these are vertex transitive. We establish existence of 12-covered triangula…

2011-01-04abs ↗pdf ↗

A vertex-transitive map XX is a map on a closed surface on which the automorphism group Aut(X){\rm Aut}(X) acts transitively on the set of vertices. If the face-cycles at all the vertices in a map are of same type then the map is said to be a semi-equivelar map. Clearly, a vertex-transitive map is semi-equivelar. Converse…

2016-10-06abs ↗pdf ↗

The article explores symmetric maps on surfaces, focusing on semi-equivelar maps.

problem Identifying and classifying semi-equivelar maps on surfaces with specific Euler characteristics.
method Analyzing automorphisms and symmetry groups of maps on higher genus surfaces.
result There are at least 39 types of semi-equivelar maps on surfaces with Euler characteristic -2m, m ≥ 2, with symmetry groups isomorphic to dihedral or cyclic groups.

Semi-Equivelar maps are generalizations of Archimedean solids to the surfaces other than 2-sphere. There are eight semi-equivelar maps of types {33,42}\{3^{3},4^{2}\}, {32,4,3,4}\{3^{2},4,3,4\}, {6,3,6,3}\{6,3,6,3\}, {34,6}\{3^{4},6\}, {4,82}\{4,8^{2}\}, {3,122}\{3,12^{2}\}, {4,6,12}\{4,6,12\}, {6,4,3,4}\{6,4,3,4\} exist on the torus. In this article we show the e…

2013-08-30abs ↗pdf ↗

We present enumerations of a class of maps on Klein bottle which give rise to semi-equivelar maps. Semi-equivelar maps are generalizations of equivelar maps. There are eleven types of semi-equivelar maps on the Klein bottle. These are of the types {36}\{3^{6}\}, {44}\{4^{4}\}, {63}\{6^{3}\}, {33,\{3^{3}, 42}4^{2}\}, {32,\{3^{2},

2015-09-15abs ↗pdf ↗

In lifelong learning, the learner is presented with a sequence of tasks, incrementally building a data-driven prior which may be leveraged to speed up learning of a new task. In this work, we investigate the efficiency of current lifelong approaches, in terms of sample complexity, computational and memory cost. Towards…

2018-12-02abs ↗pdf ↗

GEM improves recommendation by capturing complex feature interactions.

problem Capturing complex high-order interaction signals in feature-based recommendation models.
method Integrates graph convolution networks to generate high-order embeddings and combines with FM-based models.
result Significant improvement in recommendation performance over baselines.

Within crystallization theory, two interesting PL invariants for dd-manifolds have been introduced and studied, namely {\it gem-complexity} and {\it regular genus}. In the present paper we prove that, for any closed connected PL 44-manifold MM, its gem-complexity k(M)\mathit{k}(M) and its regular genus $ \mathcal G(M)…

2015-04-03abs ↗pdf ↗

Current deep neural networks can achieve remarkable performance on a single task. However, when the deep neural network is continually trained on a sequence of tasks, it seems to gradually forget the previous learned knowledge. This phenomenon is referred to as \textit{catastrophic forgetting} and motivates the field c…

2019-09-25abs ↗pdf ↗

GEM learns a manifold for cross-modal data, capturing structure without modality dependence.

problem Modality-specific neural models limit flexibility and custom architecture.
method Casts learning as manifold inference, enforcing coverage, linearity, and isometry.
result GEM learns latent structure across image, shape, audio, and cross-modal domains.

We present enumerations of a class of toroidal graphs which give rise to semi-equivelar maps. There are eleven different types of semi-equivelar maps on the torus. These are of the types {36}\{3^{6}\}, {44}\{4^{4}\}, {63}\{6^{3}\}, {33,42}\{3^{3}, 4^{2}\}, {32,4,3,4}\{3^{2}, 4, 3, 4\}, {3,6,3,6}\{3, 6, 3, 6\}, {34,6}\{3^{4}, 6\}, {4,82}\{4, 8^{2}\}, $\…

2013-11-01abs ↗pdf ↗

We solve the isomorphism problem for the whole class of Lins-Mandel gems (graphs encoded manifolds). We also present certain homeomorphisms of branched cyclic coverings of two-bridge hyperbolic links. As a consequence, we prove that, in in a wide subset of interesting cases, the isomorphism conditions for Lins-Mandel g…

2001-02-18abs ↗pdf ↗

We describe an algorithm to subdivide automatically a given set of PL n-manifolds (via coloured triangulations or, equivalently, via crystallizations) into classes whose elements are PL-homeomorphic. The algorithm, implemented in the case n=4, succeeds to solve completely the PL-homeomorphism problem among the catalogu…

2014-08-02abs ↗pdf ↗

The paper studies special crystallizations of 4-manifolds to minimize certain PL-invariants.

problem Minimizing combinatorially defined PL-invariants in crystallizations of compact 4-manifolds.
method Analysis of semi-simple and weak semi-simple crystallizations to minimize regular genus, Gurau degree, gem-complexity, and trisection genus.
result An original theorem on the minimization of PL-invariants for compact 4-manifolds with weak semi-simple crystallizations.

New model solves complex SDEs with high-dimensional spatial and stochastic spaces.

problem Solving SDEs with high-dimensional spatial and stochastic spaces.
method Physics-informed deep generative model (sPI-GeM) combining PI-BasisNet and PI-GeM.
result Scalable solution for high-dimensional SDE problems.

The idea of studying trisections of closed smooth 44-manifolds via (singular) triangulations, endowed with a suitable vertex-labelling by three colors, is due to Bell, Hass, Rubinstein and Tillmann, and has been applied by Spreer and Tillmann to colored triangulations associated to the so called simple crystallization…

2019-10-19abs ↗pdf ↗

Graph Energy Matching improves generation quality for molecular graphs.

problem Discrete energy-based models struggle with efficient and high-quality sampling for graph generation.
method Inspired by transport-map optimization, Graph Energy Matching learns a permutation-invariant potential energy to guide sampling.
result GEM matches or surpasses discrete diffusion baselines on molecular graph benchmarks.

Generative neural network models, including Generative Adversarial Network (GAN) and Auto-Encoders (AE), are among the most popular neural network models to generate adversarial data. The GAN model is composed of a generator that produces synthetic data and of a discriminator that discriminates between the generator's …

2019-05-23abs ↗pdf ↗

We extend to dimension n3n \geq 3 the concept of ρρ-pair in a coloured graph and we prove the existence theorem for minimal rigid crystallizations of handle-free, closed nn-manifolds.

2011-05-03abs ↗pdf ↗

In this paper, we propose a general framework to learn a robust large-margin binary classifier when corrupt measurements, called anomalies, caused by sensor failure might be present in the training set. The goal is to minimize the generalization error of the classifier on non-corrupted measurements while controlling th…

2016-10-21abs ↗pdf ↗

In this paper, we propose a general framework to learn a robust large-margin binary classifier when corrupt measurements, called anomalies, caused by sensor failure might be present in the training set. The goal is to minimize the generalization error of the classifier on non-corrupted measurements while controlling th…

2015-07-16abs ↗pdf ↗

GEM detects malicious accounts using adaptive embeddings from heterogeneous graphs.

problem Detecting malicious accounts on a leading mobile payment platform.
method Adaptive learning of discriminative embeddings from heterogeneous account-device graphs with attention mechanism for node importance.
result GEM consistently outperforms competitive methods in detecting malicious accounts.

Distributed asynchronous SGD has become widely used for deep learning in large-scale systems, but remains notorious for its instability when increasing the number of workers. In this work, we study the dynamics of distributed asynchronous SGD under the lens of Lagrangian mechanics. Using this description, we introduce …

2018-05-22abs ↗pdf ↗