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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,291 papers · 148 categories

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1234 · Apr 200819922001200920182026
48 results for Dance Dance Revolution

Dancing polygons and rolling balls linked via a special geometric distribution.

problem Understanding the geometric and mechanical relationship between dancing polygons and rolling balls.
method Mapping dancing polygons to trajectories of a rolling ball on a 3D surface, both described by a specific geometric distribution.
result Non-degenerate dancing pairs of polygons exist for all n6n \geq 6 and correspond to rolling ball trajectories.

Deep neural networks generate dance steps from music with minimal labeled data.

problem Generating dance steps from music with little labeled data and maintaining timing accuracy.
method Weakly supervised deep recurrent neural network with convolutional and LSTM layers.
result Model generates dance steps with low cross entropy and maintains timing accuracy.

The "dancing metric" is a pseudo-riemannian metric g\pmb{g} of signature (2,2)(2,2) on the space M4M^4 of non-incident point-line pairs in the real projective plane RP2\mathbb{RP}^2. The null-curves of (M4,g)(M^4,\pmb{g}) are given by the "dancing condition": the point is moving towards a point on the line, about which the li…

2015-05-30abs ↗pdf ↗

DANCE optimizes neural network and accelerator design for faster, more efficient DNN execution.

problem Challenges in optimizing neural network and accelerator design for efficient DNN execution.
method Differentiable approach to co-exploration of accelerator and network architecture design.
result Significantly shorter time to achieve superior accuracy and hardware cost metrics.

RFC enhances humanoid control to imitate complex human motions.

problem Dynamics mismatch between humanoid models and real humans.
method Residual Force Control (RFC) augments control policies with external forces.
result RFC outperforms state-of-the-art methods in convergence speed and motion quality.

DANCE method improves large-scale learning efficiency via accumulating sample strategy.

problem Efficiently solving large-scale empirical risk minimization problems.
method Distributed Accumulated Newton Conjugate gradient (DANCE) method with multistage approach.
result The method achieves satisfactory statistical accuracy with fewer passes over data.

DANCE improves saliency maps by adding subtle input variations.

problem Poor performance of saliency methods in saturated gradients, adversarial perturbations, and inter-feature dependence.
method Two-step procedure: 1) Perturbation mechanism, 2) Aggregation of saliency maps.
result DANCE saliency method outperforms existing methods qualitatively and quantitatively.

Products of Hidden Markov Models(PoHMMs) are an interesting class of generative models which have received little attention since their introduction. This maybe in part due to their more computationally expensive gradient-based learning algorithm,and the intractability of computing the log likelihood of sequences under…

2012-05-09abs ↗pdf ↗

Let P be a locally finite circle packing in the plane invariant under a non-elementary Kleinian group Gamma and with finitely many Gamma-orbits. When Gamma is geometrically finite, we construct an explicit Borel measure on the plane which describes the asymptotic distribution of small circles in P, assuming that either…

2010-04-13abs ↗pdf ↗

The abstract discusses a new causal structure on manifolds using paths and points.

problem Constructing a causal structure on manifolds using paths and points.
method Constructing a four-manifold from pairs of points and paths, and a seven-dimensional manifold from pairs of points and conics.
result The causal structure corresponds to a conformal structure only when the underlying surface is a real projective plane.

Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switching linear dynamical system (SLDS) and the switching vector autoregressive (VAR) process. Our Bayesian nonparametric approach utilizes a hiera…

2010-03-19abs ↗pdf ↗

Double descent in portfolio optimization shows improved performance with complexity, then declines, due to overfitting.

problem Improving portfolio optimization performance with model complexity.
method Investigates the relationship between model complexity and out-of-sample performance in mean-variance portfolio optimization.
result Performance of low-dimensional models initially improves with complexity but declines due to overfitting. High-dimensional models show double ascent Sharpe ratio curve.

The study defines new surfaces with specific cut locus properties and provides conditions for their existence.

problem Understanding the properties of surfaces of revolution with specific cut locus structures.
method Analyzing the Gaussian curvature function and proving conditions for surfaces to be generalized von Mangoldt.
result For any surface of revolution with finite total curvature, there exists a generalized von Mangoldt surface with the same total curvature and non-monotone Gaussian curvature function along a meridian.

We prove here that when all planes transverse and nearly perpendicular to the axis of a surface of revolution intersect it in loops having central symmetry, the surface must be quadric. It follows that the quadrics are the only surfaces of revolution without skewloops. Similar statements hold for hypersurfaces of revol…

2007-12-17abs ↗pdf ↗

Upper bound found for Steklov eigenvalue of a surface of revolution.

problem Finding an upper limit for Steklov eigenvalues of a specific surface.
method Analyzing a surface of revolution with boundary conditions of two spheres.
result An upper bound for the first Steklov eigenvalue is derived and shown to be sharp in some cases.

In this paper we study geodesic mappings of nn-dimensional surfaces of revolution. From the general theory of geodesic mappings of equidistant spaces we specialize to surfaces of revolution and apply the obtained formulas to the case of rotational ellipsoids. We prove that such nn-dimensional ellipsoids admit non tri…

2011-03-31abs ↗pdf ↗

Fermat constants fail to fully identify Clairaut constants for certain geodesics on a surface of revolution.

problem Identifying Clairaut constants from Fermat constants for specific geodesics.
method Analytical proof for a specific class of geodesics on a surface of revolution.
result Fermat constants do not fully determine Clairaut constants for some geodesics, except for a standard sphere.

Study of Ricci flow on discrete surfaces of revolution with constant Gaussian curvature.

problem Understanding Ricci flow on discrete surfaces of revolution.
method Explicit parametrizations and Ricci flow analysis for discrete surfaces of revolution.
result Discrete surfaces of revolution approach constant Gaussian curvature under Ricci flow.

The study finds conditions for certain surfaces to have a specific type of metric.

problem Understanding the geometry of surfaces with specific metrics.
method Analyzes surfaces of revolution and derives conditions for a strongly convex slope metric.
result Necessary and sufficient conditions for surfaces of revolution to admit a strongly convex slope metric are established.

We present numerical visualizations of Ricci Flow of surfaces and 3-dimensional manifolds of revolution. Ricci_rot is an educational tool which visualizes surfaces of revolution moving under Ricci flow. That these surfaces tend to remain embedded in R3 is what makes direct visualization possible. The numerical lessons …

2004-06-09abs ↗pdf ↗

The study finds parametrizations for surfaces of revolution with a linear curvature ratio.

problem Deriving surfaces of revolution with a specific curvature ratio.
method Derives parametrizations for surfaces of revolution with an affine-linear relation between their curvature radii.
result Explicit parametrizations found for a countably-infinite number of surfaces.

Study of tori of revolution under Willmore flow converges to Clifford Torus.

problem Long-time behavior and convergence of Willmore flow for tori of revolution.
method Gradient flow of Willmore energy for tori of revolution, analyzing energy threshold and convergence to Clifford Torus.
result Convergence of Willmore flow to Clifford Torus for initial energy below 8π.

An extrinsic representation of a Ricci flow on a differentiable n-manifold M is a family of submanifolds S(t), each smoothly embedded in R^{n+k}, evolving as a function of time t such that the metrics induced on the submanifolds S(t) by the ambient Euclidean metric yield the Ricci flow on M. When does such a representa…

2013-11-01abs ↗pdf ↗