Generalizing the theorem of Green--Lazarsfeld and Gromov, we classify Kaehler groups of deficiency at least two. As a consequence we see that there are no Kaehler groups of even and strictly positive deficiency. With the same arguments we prove that Kaehler groups that are non-Abelian and are limit groups in the sense …
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Let L be a lattice in a connected Lie group. We show that besides a few exceptional cases, the deficiency of L is nonpositive.
The study shows subgroup separability conditions for specific groups.
The study calculates the Smith-Thom deficiency of Hilbert squares and provides conditions for maximality.
Contextual bandit methods fail with deficient support data.
The paper addresses flaws in fixed point assertions for digital images.
The paper calculates the number of oriented rational links with a given deficiency.
Analyzes the structure and rank of neural network Hessians.
We examine certain symmetries in the deficiencies of a rational surgery on a knot in by comparing the -structures on the rational surgery with those on a related integral surgery. We then provide an application of these symmetries in the form of a theorem that obstructs Dehn surgeries in . Thi…
Specialists tolerate defects to gain flexibility, which can be removed when needed.
Specialists tolerate defects to gain flexibility, which can be removed when needed.
Study uses DHS to classify anemia types using CBC indices.
Proves one-relator groups are fundamental groups of Sasakian manifolds.
"Deep Learning" methods attempt to learn generic features in an unsupervised fashion from a large unlabelled data set. These generic features should perform as well as the best hand crafted features for any learning problem that makes use of this data. We provide a definition of generic features, characterize when it i…
A new algorithm solves constrained optimization problems with stochastic gradients.
For every N > 0 there exists a group of deficiency less than -N that arises as the fundamental group of a smooth homology 4-sphere and also as the fundamental group of the complement of a compact contractible submanifold of the 4-sphere. A group is the fundamental group of the complement of a contractible submanifold o…
We address two fundamental and well-known problems of Gromov and Lyndon: \demo{Problem A} (Gromov, see [5]). Consider a category of closed manifolds of dimension with nonzero-degree ways as morphisms. Study a partial order . For which the degrees of maps $f: M \t…
A new method combines online and offline learning to tackle contextual bandits with missing action support.
We study "how far away" a finite index subgroup G of SL(2,Z) is from being a congruence group. For this we define its deficiency of being a congruence group. We show that the index of the image of G in SL(2,Z/nZ) is biggest, if n is the general Wohlfahrt level. We furthermore show that the Veech groups of origamis (or …
Bayesian model predicts iron deficiency from multi-source multi-way molecular data.
Improved risk-sensitive RL with exponential Bellman equation and better regret bounds.
We consider options that pay the complexity deficiency of a sequence of up and down ticks of a stock upon exercise. We study the price of European and American versions of this option numerically for automatic complexity, and theoretically for Kolmogorov complexity. We also consider run complexity, which is a restricte…
Paper addresses OPE for dependent bandit samples using MDS and batch updates.
We prove that every finitely presented group with positive first -Betti number that virtually surjects onto is acylindrically hyperbolic. In particular, this implies acylindrical hyperbolicity of finitely presented residually finite groups with positive first -Betti number as well as groups …
New method identifies causal direction with latent confounders.
Study finds LLMs hallucinate in finance tasks, needing research.
The performance of standard learning procedures has been observed to differ widely across groups. Recent studies usually attribute this loss discrepancy to an information deficiency for one group (e.g., one group has less data). In this work, we point to a more subtle source of loss discrepancy---feature noise. Our mai…
We compute the characteristic varieties and the Alexander polynomial of a finitely generated nilpotent group. We show that the first characteristic variety may be used to detect nilpotence. We use the Alexander polynomial to deduce that the only torsion-free, finitely generated nilpotent groups with positive deficiency…
The study connects knot crossing numbers to surface properties and tunnel numbers.
Gradient descent with preconditioning finds global optima in overparameterized nonconvex factorization.
New method differentiates square-root Kalman filters robustly.
We show that if is the fundamental group of a 4-dimensional infrasolvmanifold then , and give examples realizing each of these values. We also determine the abstract commensurators of such groups. Finally we show that if is a finitely generated group the kernel of the natural homomorphism f…
We study the interplay among Wall's problem, normal generation conjecture (the Wiegold Conjecture) of perfect groups and Swan's problem on partial Euler characteristic and deficiency of groups. In particular, for a 3-dimensional complex of cohomological dimension 2 with a finite fundamental group, assuming t…
The paper discusses fairness in bank stress tests, comparing various methods to address institutional differences.
Regular integer lattices are characterized by k unit vectors that build up their generator matrices. These have rank k for D-lattices, and are rank-deficient for A-lattices, for E_6 and E_7. We count lattice points inside hypercubes centered at the origin for all three types, as if classified by maximum infinity norm i…
The paper analyzes a five-factor capital market model and facilitates exact simulation.
DDN models flexible free-form conditional distributions.
Inequalities between the Dirichlet and Neumann eigenvalues of the Laplacian have received much attention in the literature, but open problems abound. Here, we study the number of Neumann eigenvalues no greater than the first Dirichlet eigenvalue. Based on a combination of analytical and numerical results, we conjecture…
A parametric manifold is a manifold on which all tensor fields depend on an additional parameter, such as time, together with a parametric structure, namely a given (parametric) 1-form field. Such a manifold admits natural generalizations of Lie differentiation, exterior differentiation, and covariant differentiation, …
Study improves seasonal forecasts using deep learning.
We derive an efficient method to perform clustering of nodes in Gaussian graphical models directly from sample data. Nodes are clustered based on the similarity of their network neighborhoods, with edge weights defined by partial correlations. In the limited-data scenario, where the covariance matrix would be rank-defi…
This text is a revised version of the authors Habilitationsschrift which was submitted to the University of Augsburg, 1993. Fuchs type differential operators are used to model the analysis on manifolds with cone--like singularities, or more general, stratified spaces. This book provides a self--contained treatment of t…
We study the asymptotic growth of homology groups and the cellular volume of classifying spaces as one passes to normal subgroups of increasing finite index in a fixed finitely generated group , assuming . We focus in particular on finitely presented residually free groups, calculating thei…
MaxVol NMF maximizes the volume of in NMF for better sparse and interpretable solutions.
In response to the development of recent efficient dense layers, this paper shows that something as simple as replacing linear components in pointwise convolutions with structured linear decompositions also produces substantial gains in the efficiency/accuracy tradeoff. Pointwise convolutions are fully connected layers…
In various classes of infinite groups, we identify groups that are presentable by products, i.e. groups having finite index subgroups which are quotients of products of two commuting infinite subgroups. The classes we discuss here include groups of small virtual cohomological dimension and irreducible Zariski dense sub…
Study nondifferentiable metrics in general relativity, resolving causality issues and limits evolution scenarios.
A new framework for robust transfer learning that avoids negative transfer in domains with unequal information.