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2457 · Jul 202019922001200920182026
48 results for La Niña

W\mathscr{W}-entropy and reduced volume for the Ricci flow were introduced by Perelman, which had proved their importance in the study of the Ricci flow. L. Ni studied the analogous concepts for the linear heat equation on the static manifolds, and established an equation which links the large time behavior of these t…

2012-11-27abs ↗pdf ↗

Let MM be either S2×S2S^2\times S^2 or the one point blow-up $\cp# \bcp$ of $\cp$. In both cases MM carries a family of symplectic forms $\om_\la$, where $\la > -1$ determines the cohomology class $[\om_\la]$. This paper calculates the rational (co)homology of the group $G_\la$ of symplectomorphisms of $(M,\om_\la)$ as …

1999-10-11abs ↗pdf ↗

Nous donnons une méthode naturelle, que nous appelons {\it "la méthode des façons"} pour stratifier la variété asymptotique associée à une application polynomiale dominante F:CnCnF: \mathbb{C}^n \to \mathbb{C}^n. La stratification obtenue est différentiable et satisfait la propriété de frontière.

2014-07-20abs ↗pdf ↗

The theory of spinors is developed for locally anisotropic (la) spaces, in brief la-spaces, which in general are modeled as vector bundles provided with nonlinear and distinguished connections and metric structures (such la-spaces contain as particular cases the Lagrange, Finsler and, for trivial nonlinear connections,…

1996-04-05abs ↗pdf ↗

Model predicts EMF of Ni-Mn-Ga MSMA, improved with GRNN.

problem Predicting the electromotive force (EMF) of Ni-Mn-Ga MSMA under various conditions.
method Developed a new constitutive model for Ni-Mn-Ga single crystals, incorporating magnetic easy axis offset. Used GRNN to enhance model predictions.
result GRNN improves model predictions of EMF, capturing more experimental features.

This paper presents practical methods for portfolio selection in investments.

problem Investment portfolio selection challenges.
method Mean-variance optimization, mean-semivariance model, genetic algorithms, transaction costs.
result More comprehensive risk and return analysis in portfolio selection.

Noise injection (NI) is an efficient technique to mitigate over-fitting in neural networks (NNs). The Bernoulli NI procedure as implemented in dropout and shakeout has connections with l1l_1 and l2l_2 regularization for the NN model parameters. We propose whiteout, a family NI regularization techniques (NIRT) through i…

2016-12-05abs ↗pdf ↗

Let (ρ_\la)_{\la\in \La} be a holomorphic family of representations of a surface group π_1(S) into PSL(2,C), where S is a topological (possibly punctured) surface with negative Euler characteristic. Given a structure of Riemann surface of finite type on S we construct a bifurcation current on the parameter space \La, t…

2013-04-30abs ↗pdf ↗

Simplified definition of LA-Courant algebroids and Poisson Lie 2-algebroids.

problem Defining and characterizing LA-Courant algebroids and Poisson Lie 2-algebroids.
method Using split Lie 2-algebroids and self-dual 2-representations to define LA-Courant algebroids, and studying geometric examples and induced structures.
result New examples of Poisson Lie 2-algebroids and a new construction of Courant algebroids.

Defines Learning Analytics' foundational structure and scope.

problem Lack of theoretical foundation in Learning Analytics.
method Proposes an axiomatic theory based on psychological learning and LA methodology.
result Clarifies the epistemological stance of Learning Analytics and its limitations.

The paper studies knot Floer homology under Murasugi sum and establishes graded isomorphisms.

problem Behavior of knot Floer homology under Murasugi sum.
method Established a graded version of Ni's isomorphism and proved τ=g for each summand.
result Graded isomorphisms between extremal knot Floer homologies of Murasugi sum and tensor products.

Laplace approximation improves deep learning efficiency without sacrificing performance.

problem Bayesian deep learning's practical implementation and efficiency.
method Review and implementation of Laplace approximation (LA) in PyTorch.
result Laplace approximation is competitive with popular alternatives in performance but significantly more efficient.

This paper deals with naturally reductive pseudo-Riemannian 2-step nilpotent Lie groups $(N, \la \,,\,\ra_N)$, such that $\la \,,\,\ra_N$ is invariant under a left action. The case of nondegenerate center is completely characterized. In fact, whenever $\la \,,\, \ra_N$ restricts to a metric in the center it is proved h…

2009-11-20abs ↗pdf ↗

New methods improve adversarial attacks' transferability to other models.

problem Vulnerability of deep learning models to adversarial examples.
method Nesterov Iterative Fast Gradient Sign Method (NI-FGSM) and Scale-Invariant attack Method (SIM).
result NI-FGSM and SIM generate more transferable adversarial examples.

Given a closed subset $\La$ of the open unit ball B1nB_1\subset \real^n, n3n \geq 3, we will consider a complete Riemannian metric gg on $\bar{B_1} \setminus \La$ of constant scalar curvature equal to n(n1)n(n-1) and conformally related to the Euclidean metric. In this paper we prove that every closed Euclidean ball $\bar…

2007-11-08abs ↗pdf ↗

In this note a functorial approach to the integration problem of an LA-groupoid to a double Lie groupoid is discussed. To do that, we study the notions of fibred products in the categories of Lie groupoids and Lie algebroids, giving necessary and sufficient conditions for the existence of such. In particular, it turns …

2007-01-08abs ↗pdf ↗

We study Bott-Chern and Aeppli cohomologies of a vector space endowed with two anti-commuting endomorphisms whose square is zero. In particular, we prove an inequality à la Frölicher relating the dimensions of the Bott-Chern and Aeppli cohomologies to the dimensions of the Dolbeault cohomologies. We prove that the equa…

2014-03-10abs ↗pdf ↗

Using polar convex bodies and the C0C_0-bounds from Guan and Ni \cite{PL}, we obtain a uniform lower bound on the Gauss curvature of the normalized solution of the Gauss curvature flow without using Chow's Harnack inequality \cite{Ch2}.

2014-09-09abs ↗pdf ↗

NIS learns optimal embedding sizes for recommendation models.

problem Finding optimal embedding sizes for large-scale recommendation models.
method Neural Input Search (NIS) uses reinforcement learning to automatically find optimal vocabulary sizes and embedding dimensions.
result NIS improves prediction accuracy by 6.8% on Recall@1 and 1.8% on ROC-AUC.

We study the systolic area (defined as the ratio of the area over the square of the systole) of the 2-sphere endowed with a smooth riemannian metric as a function of this metric. This function, bounded from below by a positive constant over the space of metrics, have the standard metric g_0g\_0 for critic point, althoug…

2006-01-12abs ↗pdf ↗

For a Riemannian polyhedra, we study the geometry of the unit ball for the unidimensional stable norm (stable ball). In the case of a unidimensional Riemannian polyhedra (graph), we show that the stable ball is a polytope whose vertices are completely described by combinatorial properties of the graph. We study then th…

2005-02-22abs ↗pdf ↗

This text explains how fiber bundle structure is fundamental for classical physics.

problem None explicitly stated, but implied as understanding fiber bundles is crucial for physics.
method Explains the fiber bundle structure and its universality for physics laws.
result Fiber bundle structure is fundamental for classical physics laws.

Noise-ignorant empirical risk minimization achieves state-of-the-art performance on noisy data.

problem Learning with noisy labels in multi-class classification problems.
method Introducing relative signal strength (RSS) to quantify transferability and applying Noise Ignorant Empirical Risk Minimization (NI-ERM).
result NI-ERM achieves state-of-the-art performance on CIFAR-N data challenge.

We prove that the metric completion of a canonical Ricci-flat Kahler metric on the nonsingular part of a projective Calabi-Yau variety XX with ordinary double point singularities, is a compact metric length space homeomorphic to the projective variety XX itself. As an application, we prove a conjecture of Candelas an…

2012-01-20abs ↗pdf ↗