Deep learning detects radical content on social media.
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Detects radical content on Twitter using textual, psychological, and behavioral signals.
New study shows personalized content recommendations can lead to polarization of user preferences.
Reviews six finance topics, including 'radical complexity'.
In this paper we introduce radical transversal lightlike hypersurfaces of almost complex manifolds with Norden metric. The study of these hypersurfaces is motivated by the fact that for indefinite almost Hermitian manifolds this class of lightlike hypersurfaces does not exist. We also establish that radical transversal…
Introduces a new elliptic operator with positive eigenvalue.
Design-by-Morphing creates radical airfoil designs without geometric constraints.
Study shows exact forms in bounded cohomology are in radical of cup product.
Consider a smooth manifold with a smooth metric which changes bilinear type from Riemann to Lorentz on a hypersurface with radical tangent to . Two natural bilinear symmetric forms appear there, and we use it to analyze the geometry of . We show the way in which these forms control the smooth extensibility ov…
We prove that every Kaehler solvmanifold has a finite covering whose holomorphic reduction is a principal bundle. An example is given that illustrates the necessity, in general, of passing to a proper covering. We also answer a stronger version of a question posed by Akhiezer for homogeneous spaces of nonsolvable algeb…
In this paper we study curvature properties of semi-symmetric type of totally umbilical radical transversal lightlike hypersurfaces and of a Kähler-Norden manifold of constant totally real sectional curvatures and …
Banks must manage their trading books, not just value them. Pricing includes valuation adjustments collectively known as XVA (at least credit, funding, capital and tax), so management must also include XVA. In trading book management we focus on pricing, hedging, and allocation of prices or hedging costs to desks on an…
Every compact aspherical Riemannian manifold admits a canonical series of orbibundle structures with infrasolv fibers which is called its infrasolv tower. The tower arises from the solvable radicals of isometry group actions on the universal covers. Its length and the geometry of its base measure the degree of continuo…
Paper introduces a new symbol map for differential symmetry breaking operators.
Let be a simply connected pseudo-Riemannian homogeneous space of finite volume with isometry group . We show that is compact and that the solvable radical of is abelian and the Levi factor is a compact semisimple Lie group acting transitively on . For metric index less than three, we find that the iso…
We construct knot invariants from the radical part of projective modules of restricted quantum groups. We also show a relation between these invariants and the colored Alexander invariants.
On a Riemannian or a semi-Riemannian manifold, the metric determines invariants like the Levi-Civita connection and the Riemann curvature. If the metric becomes degenerate (as in singular semi-Riemannian geometry), these constructions no longer work, because they are based on the inverse of the metric, and on related o…
The seriousness of the current crisis urgently demands new economic thinking that breaks the austerity vs. deficit spending circle in economic policy. The core tenet of the paper is that the most important problems that natural and social science are facing today are inverse problems, and that a new approach that goes …
On a (pseudo-)Riemannian manifold (M,g), some fields of endomorphisms i.e. sections of End(TM) may be parallel for g. They form an associative algebra A, which is also the commutant of the holonomy group of g. As any associative algebra, A is the sum of its radical and of a semi-simple algebra S. We show in arXiv:1402.…
Study shows online learning algorithms incentivize low-quality content, proposing new algorithms to improve quality.
Proposes a model to optimize feedback for content creators on social media.
Proposes a VAE variant for ordinal content factors.
Sensory data are often comprised of independent content and transformation factors. For example, face images may have shapes as content and poses as transformation. To infer separately these factors from given data, various ``disentangling'' models have been proposed. However, many of these are supervised or semi-super…
This paper shows the reduced characteristic group of Lie LCP manifolds is simply connected.
In the industry of video content providers such as VOD and IPTV, predicting the popularity of video contents in advance is critical not only from a marketing perspective but also from a network optimization perspective. By predicting whether the content will be successful or not in advance, the content file, which is l…
Many businesses are using recommender systems for marketing outreach. Recommendation algorithms can be either based on content or driven by collaborative filtering. We study different ways to incorporate content information directly into the matrix factorization approach of collaborative filtering. These content-booste…
Spotify improves content mix using contextual bandits.
A new model considers fatigue in online content recommendation systems.
New PCGML approach generates novel game content across multiple platformer domains.
We consider visual domains in which a class label specifies the content of an image, and class-irrelevant properties that differentiate instances constitute the style. We present a domain-independent method that permits the open-ended recombination of style of one image with the content of another. Open ended simply me…
Study explores solvable Lie groups' actions on closed Lorentzian manifolds.
A new approach uses deep learning to manage vehicular content efficiently.
Text style transfer aims to modify the style of a sentence while keeping its content unchanged. Recent style transfer systems often fail to faithfully preserve the content after changing the style. This paper proposes a structured content preserving model that leverages linguistic information in the structured fine-gra…
Study on heat content for submanifolds in sub-Riemannian geometry.
With rapid development of the Internet, web contents become huge. Most of the websites are publicly available, and anyone can access the contents from anywhere such as workplace, home and even schools. Nevertheless, not all the web contents are appropriate for all users, especially children. An example of these content…
The paper deals with regression problems, in which the nonsmooth target is assumed to switch between different operating modes. Specifically, piecewise smooth (PWS) regression considers target functions switching deterministically via a partition of the input space, while switching regression considers arbitrary switch…
Enhances content moderation with culturally-aware models.
This work improves disentanglement by preventing style variables from encoding content-related features.
Efficiently transfers style to content without distorting the content structure.
Much of the data being created on the web contains interactions between users and items. Stochastic blockmodels, and other methods for community detection and clustering of bipartite graphs, can infer latent user communities and latent item clusters from this interaction data. These methods, however, typically ignore t…
Transforms web content for better visibility in AI-driven search engines.
Improves content allocation in educational platforms with sparse data.
Local norms of Fourier multipliers bounded on discrete subgroups of Lie groups.
In this paper we generalize harmonic maps and morphisms to the \emph{degenerate semi-Riemannian category}, in the case when the manifolds and are \emph{stationary} and the map is \emph{radical-preserving}. We characterize geometrically the notion of \emph{(generalized) horizontal (weak) conformality}…
Simple method disentangles content and style from pre-trained vision models.
Modeling incentives for content creators on algorithm-curated platforms.
Study on heat content for domains with fractal boundaries.
IGSD separates task-specific content channels in transformer components by comparing activation replacement with zero ablation.