Classifies semi-equivelar gems on surfaces with Euler characteristic -1.
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This paper classifies semi-equivelar gems on a 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 on the torus is a quotient of an Archimedean tiling on the plane then the map…
This paper shows semi-equivelar toroidal maps are vertex-transitive covers.
This paper classifies semi-equivelar maps on a special surface.
Hamiltonian cycles found in toroidal maps.
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 on the surface of Euler characteristic -1 was given. In the meantime Karabas an Nedela classified vertex transitive semi-equivelar maps on…
Semi-Equivelar maps are generalizations of Archimedean Solids (as are equivelar maps of the Platonic solids) to the surfaces other than 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…
A vertex-transitive map is a map on a closed surface on which the automorphism group 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…
A vertex-transitive map is a map on a surface on which the automorphism group of acts transitively on the set of vertices of . If the face-cycles at all the vertices in a map are of same type then the map is called a semi-equivelar map. Clearly, a vertex-transitive map is semi-equivelar. Converse of this is …
Semi-Equivelar maps are generalizations of maps on the surfaces of Archimedean solids to surfaces other than the -sphere. The well known 11 types of normal tilings of the plane suggest the possible types of semi-equivelar maps on the torus and the Klein bottle. In this article we classify (up to isomorphism) semi-eq…
The article explores symmetric maps on surfaces, focusing on semi-equivelar maps.
Semi-Equivelar maps are generalizations of Archimedean solids to the surfaces other than 2-sphere. There are eight semi-equivelar maps of types , , , , , , , exist on the torus. In this article we show the e…
We enumerate and classify all the semi equivelar maps on the surface of with up to 12 vertices. We also determine which of these are vertex-transitive and which are not.
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 , , , , …
Gem theory helps estimate trisection genus of 4-manifolds.
Review of gem theory's interactions with Kirby diagrams and trisections.
GEM-T generates synthetic tabular data by fitting moments, outperforming neural networks.
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…
GEM improves recommendation by capturing complex feature interactions.
Within crystallization theory, two interesting PL invariants for -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 -manifold , its gem-complexity and its regular genus $ \mathcal G(M)…
The paper extends trisection theory to non-orientable 4-manifolds using colored triangulations.
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…
Given an special type of triangulation for an oriented closed 3-manifold we produce a framed link in which induces the same by an algorithm of complexity where is the number of tetrahedra in . The special class is formed by the duals of the {\em solvable gems}. These are in practi…
Lower bounds for PL 4-manifolds with boundary are improved.
GEM learns a manifold for cross-modal data, capturing structure without modality dependence.
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 , , , , , , , , $\…
The Expectation-Maximization (EM) algorithm is one of the most popular methods used to solve the problem of parametric distribution-based clustering in unsupervised learning. In this paper, we propose to analyze a generalized EM (GEM) algorithm in the context of Gaussian mixture models, where the maximization step in t…
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…
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…
The paper studies special crystallizations of 4-manifolds to minimize certain PL-invariants.
New model solves complex SDEs with high-dimensional spatial and stochastic spaces.
The idea of studying trisections of closed smooth -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…
Minimal crystallizations bound for 3-manifolds with boundary.
Graph Energy Matching improves generation quality for molecular graphs.
This is part 2 of a 3-part article where we provide an -algorithm to produce a surgery presentation of a 3-manifold induced by a gem with a resolution. In this part we produce a sequence of colored simplicial 2-complexes which are inverses and dual to the sequence of gems produced in the first part. The refinem…
We study model evaluation and model selection from the perspective of generalization ability (GA): the ability of a model to predict outcomes in new samples from the same population. We believe that GA is one way formally to address concerns about the external validity of a model. The GA of a model estimated on a sampl…
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 …
The idea of computing Matveev complexity by using Heegaard decompositions has been recently developed by two different approaches: the first one for closed 3-manifolds via crystallization theory, yielding the notion of Gem-Matveev complexity; the other one for compact orientable 3-manifolds via generalized Heegaard dia…
The notion of Gem-Matveev complexity has been introduced within crystallization theory, as a combinatorial method to estimate Matveev's complexity of closed 3-manifolds; it yielded upper bounds for interesting classes of such manifolds. In this paper we extend the definition to the case of non-empty boundary and prove …
We extend to dimension the concept of -pair in a coloured graph and we prove the existence theorem for minimal rigid crystallizations of handle-free, closed -manifolds.
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…
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…
GEM detects malicious accounts using adaptive embeddings from heterogeneous graphs.
HeMPPCAT improves PCA for data with varying noise.
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 …
From a pseudo-triangulation with tetrahedra of an arbitrary closed orientable connected 3-manifold (for short, {\em a 3D-space}) , we present a gem , inducing $\IS^3$, with the following characteristics: (a) its number of vertices is O(n); (b) it has a set of pairwise disjoint couples of vertices …
New PL-invariants defined for 4-manifolds with boundary.