We prove that the number s(n) of disjoint minimal graphs supported on domains in R^n is bounded by e(n+1)^2. In the two-dimensional case we show that s(2) is at most three (the conjectured number is two).
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KALE flow approximates KL divergence for distributions with disjoint support.
Multitwists cannot generate all compactly supported mapping class groups on infinite-type surfaces.
Neural Bayes simplifies computing complex stats for unsupervised learning.
In this paper, under the assumption of Gauss curvature vanishing at infinity, we will prove Meeks' conjecture: the number of disjointly supported minimal graphs in is at most two.
We give a maximal set of disjoint -sections of the well-known Lefschetz fibration constructed by Matsumoto, Cadavid and Korkmaz. In fact, we obtain several such sets for a fixed genus, which implies that the Matsumoto-Cadavid-Korkmaz Lefschetz fibration has more than one supporting minimal Lefschetz pencils. We a…
Paper studies regularized KKL divergence for distributions with disjoint supports.
Study links in contact manifolds using open books and overtwisted disks.
As a model problem for clustering, we consider the densest k-disjoint-clique problem of partitioning a weighted complete graph into k disjoint subgraphs such that the sum of the densities of these subgraphs is maximized. We establish that such subgraphs can be recovered from the solution of a particular semidefinite re…
We study -dimensional area-minimizing currents in with boundary satisfying two properties: is locally a finite sum of -dimensional orientable submanifolds which only meet tangentially and with same orientation, for some ; has…
We consider an inverse problem for a hyperbolic partial differential equation on a compact Riemannian manifold. Assuming that and are two disjoint open subsets of the boundary of the manifold we define the restricted Dirichlet-to-Neumann operator . This operator corresponds the boundary measure…
BDSG generates samples on distribution boundaries, improving anomaly detection.
A Heegaard splitting of a closed, orientable three-manifold satisfies the disjoint curve property if the splitting surface contains an essential simple closed curve and each handlebody contains an essential disk disjoint from this curve [Thompson, 1999]. A splitting is full if it does not have the disjoint curve proper…
We propose a method for unsupervised domain adaptation that trains a shared embedding to align the joint distributions of inputs (domain) and outputs (classes), making any classifier agnostic to the domain. Joint alignment ensures that not only the marginal distributions of the domain are aligned, but the labels as wel…
Solves a triangulation problem by showing minimum tetrahedra equals minimum integral 3-chain.
We consider the following multi-component sparse PCA problem: given a set of data points, we seek to extract a small number of sparse components with disjoint supports that jointly capture the maximum possible variance. These components can be computed one by one, repeatedly solving the single-component problem and def…
Approximates cycles in planar and bounded-genus graphs.
We show that all finite-dimensional resolvable generalized manifolds with the piecewise disjoint arc-disk property are codimension one manifold factors. We then show how the piecewise disjoint arc-disk property and other general position properties that detect codimension one manifold factors are related. We also note …
We present a new property, the Disjoint Path Concordances Property, of an ENR homology manifold X which precisely characterizes when X times R has the Disjoint Disks Property. As a consequence, X times R is a manifold if and only if X is resolvable and it possesses this Disjoint Path Concordances Property.
New study on time series anomaly detection shows overlapping inference improves performance.
We present DCSVM, an efficient algorithm for multi-class classification using Support Vector Machines. DCSVM is a divide and conquer algorithm which relies on data sparsity in high dimensional space and performs a smart partitioning of the whole training data set into disjoint subsets that are easily separable. A singl…
A new classification method using disjoint centroids and normalized distance.
Two triples of triangles having pairwise disjoint outlines in 3-space are called combinatorially isotopic if one triple can be obtained from the other by a continuous motion during which the outlines of the triangles remain pairwise disjoint. We conjecture that it can be algorithmically checked if an (ordered or unorde…
New TQFTs distinguish torus bundles and lens spaces.
Uniform bounds found for Sierpinski carpet hyperbolic components.
Neural Processes (NPs) are a class of models that learn a mapping from a context set of input-output pairs to a distribution over functions. They are traditionally trained using maximum likelihood with a KL divergence regularization term. We show that there are desirable classes of problems where NPs, with this loss, f…
A natural generalization of interval exchange maps are linear involutions, first introduced by Danthony and Nogueira. Recurrent train tracks with a single switch which we call non-classical interval exchanges, form a subclass of linear involutions without flips. They are analogs of classical interval exchanges, and are…
We estimate from below the number of lines meeting each of given 4 disjoint smooth closed curves in a given cyclic order in the real projective 3-space and in a given linear order in the Euclidean 3-space. Similarly, we estimate the number of circles meeting in a given cyclic order given 6 disjoint smooth closed curves…
Smooth isotopy on cube saves energy with extra dimensions.
Let be a compact, connected, oriented surface, possibly with boundary, of negative Euler characteristic. In this article we extend Lindenstrauss-Mirzakhani's and Hamenstädt's classification of locally finite mapping class group invariant ergodic measures on the space of measured laminations $\mathcal{M}\mathcal{L}(…
The paper introduces MU for NMF with -divergences and disjoint constraints.
We note a simple algebraic proof of Frolkina's result that does not contain uncountably many pairwise disjoint copies of the Möbius band, and of a similar result in higher dimensions.
We show that many algebraic actions of higher-rank abelian groups on zero-dimensional groups are mutually disjoint. The proofs exploit differences in the entropy geometry arising from subdynamics and a form of Abramov--Rokhlin formula for half-space entropies.
New theorem on embedding Moebius bands in 3D space.
The study bounds the excess of disjoint nonorientable surfaces in a 4-manifold.
Natural images may lie on a union of disjoint manifolds rather than one globally connected manifold, and this can cause several difficulties for the training of common Generative Adversarial Networks (GANs). In this work, we first show that single generator GANs are unable to correctly model a distribution supported on…
New algorithm for learning causal structures with disjoint cycles in linear non-Gaussian models.
An autonomous variational inference algorithm for arbitrary graphical models requires the ability to optimize variational approximations over the space of model parameters as well as over the choice of tractable families used for the variational approximation. In this paper, we present a novel combination of graph part…
A new associative memory uses Sinkhorn divergence for efficient pattern retrieval.
Satellite knots can be trivialized by a single band move.
New embeddings show answer to Baker-Laidacker question can be yes or no.
Embeddings of pairs of disjoint nonparallel primitive simple closed curves in the boundary of a genus two handlebody are classified. Briefly, two disjoint primitives either lie on opposite ends of a product , or they lie on opposite ends of a kind of "twisted" product $F \widetilde{\boldsymbol{…
The following problem was proposed in 2010 by S. Lando. Let and be two unions of the same number of disjoint circles in a sphere. Do there always exist two spheres in 3-space such that their intersection is transversal and is a union of disjoint circles that is situated as in one sphere and as in the ot…
The family of f-divergences is ubiquitously applied to generative modeling in order to adapt the distribution of the model to that of the data. Well-definedness of f-divergences, however, requires the distributions of the data and model to overlap completely in every time step of training. As a result, as soon as the s…
The study classifies solutions to a specific eigenvalue problem and identifies the critical catenoid.
Let $(\MM ,{\tilde g})$ be an -dimensional smooth compact Riemannian manifold. We consider the singularly perturbed Allen-Cahn equation $$ ε^2Δ_{ {\tilde g}} {u}\,+\, (1 - {u}^2)u \,=\,0\quad \mbox{in } \MM, $$ where is a small parameter. Let $\KK\subset \MM$ be an -dimensional smooth minimal submanifold …
Simple curves enclose two small disks if they're wide and bend moderately.
MTL method uses unlabeled data with pseudo labels to improve classification with disjoint datasets.