Regularization plays a crucial role in supervised learning. Most existing methods enforce a global regularization in a structure agnostic manner. In this paper, we initiate a new direction and propose to enforce the structural simplicity of the classification boundary by regularizing over its topological complexity. In…
arXiv research
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This note characterizes monohedral tilings of regular polygons with up to three tiles.
Paper introduces a new topological loss for better convergence.
Method introduces topological regularization using information filtering networks.
CAT(0) spaces with small volume growth are homeomorphic to Euclidean space.
Proposes a method to infer complex network topologies from multiple graphs.
A topological groupoid G is K-pointed, if it is equipped with a homomorphism from a topological group K to G. We describe the homotopy groups of such K-pointed topological groupoids and relate these groups to the ordinary homotopy groups in terms of a long exact sequence. As an application, we give an obstruction to pr…
In this article we determine, for an infinite family of maps on the plane, the topology of the surface on which the minimal regular covering occurs. This infinite family includes all Archimedean maps.
In this paper, we study the critical case of the Allard regularity theorem. Combining with Reifenberg's topological disk theorem, we get a critical Allard-Reifenberg type regularity theorem. As a main result, we get the topological finiteness for a class of properly immersed surfaces in with finite Willm…
Develops topological concepts for Morrey-Sobolev bundles in high dimensions.
New harmonic functions show nodal sets can be topologically complex despite frequency and regularity constraints.
We expand Topological Field Theory on some special CW-complexes (brane complexes). This Brane Topological Field Theory one-to-one corresponds to infinite dimensional Frobenius Algebras, graduated by CW-complexes of lesser dimension. We define general and regular Hurwitz numbers of brane complexes and prove that they ge…
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. Organizers of the Workshops in Geometric Topology (http://www.uwm.edu/~craigg/workshopgtt.htm) with the support of the National Science Foundation have facilitated the pr…
Study proves topological properties of isoperimetric sets in specific spaces.
Regularization preserves topological data structure in autoencoders.
Paper tackles dynamic graph topology identification in time-varying graphs.
Consider a strictly convex bounded regular domain of . For any arbitrary finite topological type we find a compact Riemann surface , an open domain with the fixed topological type, and a conformal complete proper minimal immersion which can be extended to a conti…
New definition of regular points for PL functions on manifolds.
This paper studies gl-regular Nijenhuis operators and their properties.
For a topological space we study continuous maps such that images of every pairwise distinct points are affinely (linearly) independent. Such maps are called affinely (linearly) -regular embeddings. We investigate the cohomology obstructions to existence of regular embeddings and give …
Lower bounds on cone density for nontrivial complements in low dimensions.
In this paper, we study the topology of topologically regular 4-dimensional open non-negatively curved Alexandrov spaces. These spaces occur naturally as the blow-up limits of compact Riemannian manifolds with lower curvature bound. These manifolds have also been studied by Yamaguchi in his preprint [Yam2002]. Our main…
Study shows local topologies of certain geometric spaces.
Regularizes persistent homology gradients for neural network integration.
In this paper we describe the well studied process of renormalization of quadratic polynomials from the point of view of their natural extensions. In particular, we describe the topology of the inverse limit of infinitely renormalizable quadratic polynomials and prove that when they satisfy a-priori bounds, the topolog…
Curvature regularization prevents distortion in graph embeddings.
We define a computable topological invariant for generic closed planar regular curves , which gives an effective lower bound for the number of inflection points on a given generic closed planar curve. Using it, we classify the topological types of locally convex curves (i.e. closed planar regular curves witho…
Donaldson showed that every closed symplectic 4-manifold can be given the structure of a topological Lefschetz pencil. Gay and Kirby showed that every closed 4-manifold has a trisection. In this paper we relate these two structure theorems, showing how to construct a trisection directly from a topological Lefschetz pen…
The paper develops algorithms and topological invariants for distinguishing dynamic systems.
New method integrates topological knowledge into data embeddings.
Study on free boundary problems in RCD spaces, proving existence and regularity.
We consider the quantifier-free languages, Bc and Bc0, obtained by augmenting the signature of Boolean algebras with a unary predicate representing, respectively, the property of being connected, and the property of having a connected interior. These languages are interpreted over the regular closed sets of n-dimension…
Constructing VAE Latent Spaces with Prescribed Topology
Extends topological results for nonpositive curvature spaces.
Constructs algorithms to recognize and classify 2D surfaces.
Dropout and similar stochastic neural network regularization methods are often interpreted as implicitly averaging over a large ensemble of models. We propose STE (stochastically trained ensemble) layers, which enhance the averaging properties of such methods by training an ensemble of weight matrices with stochastic r…
Study geometric flows with varying parameters and prove continuous dependence.
We prove that a locally compact space with an upper curvature bound is a topological manifold if and only if all of its spaces of directions are homotopy equivalent and not contractible. We discuss applications to homology manifolds, limits of Riemannian manifolds and deduce a sphere theorem.
The transition maps for a Sobolev -bundle are not continuous in the critical dimension and thus the usual notion of topology does not make sense. In this work, we show that if such a bundle is equipped with a Sobolev connection , then one can associate a topological isomorphism class to the pair $\left( P, A\…
New black hole solutions with lens space horizons in 5D Kaluza-Klein theory.
Galatius and Randal-Williams defined a topology on the set of closed submanifolds of . Bökstedt and Madsen proved that a -version of this topology is metrizable by showing that it is regular and second countable. Using that the scanning map of a topological sheaf on manifolds is an embedding, we giv…
The premier exhibition of the following phenomenon: The fundamental group of any Peano continuum constructed in similar fashion to the Hawaiian earring admits two natural distinct topological group structures. However despite being uncountable and regular, neither group is a Baire space and hence neither group admits a…
Study minimizers of quasi-perimeters in RCD spaces with volume constraints.
The study quantifies topological expansion properties of complexes and their embeddings.
New topology defined from spacetime paths, reconstructing spacetime structure.
Topology applied to real world data using persistent homology has started to find applications within machine learning, including deep learning. We present a differentiable topology layer that computes persistent homology based on level set filtrations and edge-based filtrations. We present three novel applications: th…
The potential of recovering the topology of a grid using solely publicly available market data is explored here. In contemporary whole-sale electricity markets, real-time prices are typically determined by solving the network-constrained economic dispatch problem. Under a linear DC model, locational marginal prices (LM…
Novel algorithm learns sparse signal representations over topological spaces.