Results 181 to 190 of about 1,068 (262)

Strictly Conservative Neural Distance Fields

Computer Graphics Forum, EarlyView.
Abstract We propose a first method to generate neural unsigned or signed distance fields (SDFs) that are guaranteed to be conservative with respect to a given 3D shape. This means the true distance is never overestimated and the zero‐level set is a bounding volume for the shape. The method makes use of neural network architectures that ensure Lipschitz
I. Ludwig, M. Campen
wiley   +1 more source

Weak solutions to gradient flows of functionals with inhomogeneous growth in metric spaces. [PDF]

J Evol Equ
Górny W.
europepmc   +1 more source

A Splitting Architecture for Exact Reduced Coulomb Friction

Computer Graphics Forum, EarlyView.
Abstract Existing approaches to frictional contact dynamics typically either modify the Coulomb law to improve numerical robustness or solve the exact law in a fully coupled monolithic form. However, in its reduced form, exact Coulomb friction can be written as a cone complementarity problem with an augmented velocity, which reveals a natural split ...
Hongcheng Song, Ye Fan, Uri M. Ascher, Dinesh K. Pai   +3 more
wiley   +1 more source

Shifted Poisson structures on higher Chevalley-Eilenberg algebras. [PDF]

Lett Math Phys
Kemp C, Laugwitz R, Schenkel A.
europepmc   +1 more source

Applied theory makeovers

Economica, EarlyView.
Abstract I argue that economists' distinction between ‘pure’ and ‘applied’ economic theory is often based on papers' stylistic markers rather than their methodology or scope. I illustrate this point with a model of price competition for boundedly rational consumers, due to Piccione and Spiegler. I first present its original, ‘pure style’ version.
Ran Spiegler
wiley   +1 more source

Calderón problem for nonlocal viscous wave equations: Unique determination of linear and nonlinear perturbations. [PDF]

Rev R Acad Cienc Exactas Fis Nat A Mat
Zimmermann P.
europepmc   +1 more source

A note on generalised information criteria for structured sparse models

International Statistical Review, EarlyView.
Summary We propose a generalised information criteria ( gic) that accounts for sparsity pattern in the model. We obtain both asymptotic and nonasymptotic results for model selection. Moreover, we show that the gic is useful for selecting the regularisation parameter in regularised m$$ m $$ estimation in high‐dimensional scenarios.
Eduardo Fonseca Mendes, Gabriel Jardim Pereira Pinto   +1 more
wiley   +1 more source

A unified Erdős-Pósa theorem for cycles in graphs labelled by multiple abelian groups. [PDF]

Math Ann
Gollin JP, Hendrey K, Kwon OJ, Oum SI, Yoo Y.   +4 more
europepmc   +1 more source

Regularization Approaches for High‐Dimensional Cox Models: A Case Study in Triple‐Negative Breast Cancer

International Statistical Review, EarlyView.
Summary In high‐dimensional survival analysis, effective variable selection is crucial both for model interpretation and predictive performance. This paper investigates Cox regression with lasso and adaptive lasso penalties in genomic datasets where covariates far outnumber observations.
Pilar González‐Barquero, Rosa E. Lillo, Álvaro Méndez‐Civieta   +2 more
wiley   +1 more source

The global inverse fractional conductivity problem. [PDF]

Calc Var Partial Differ Equ
Covi G, Railo J, Zimmermann P.
europepmc   +1 more source