Results 151 to 160 of about 1,227,664 (287)
Calibrating Bayesian inference
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu +2 more
wiley +1 more source
Model fit and parameter uncertainty in amortized variational inference based item response theory
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Amortized variational inference (AVI) has become a popular, computationally efficient alternative to marginal maximum likelihood estimation (MML) for estimating high‐dimensional item response theory models on large datasets. However, currently the AVI framework lacks methods to assess model fit and determine parameter uncertainty.
K. Veldkamp +3 more
wiley +1 more source
European Physical Journal C: Particles and FieldsIn this article, we formulate three different solutions by extending the regular Hayward black hole in the background of gravitational decoupling, a well-known approach to extend the existing solutions to the more generalized domain.
Tayyab Naseer +3 more
doaj +1 more source
SDFs from Unoriented Point Clouds using Neural Variational Heat Distances
Computer Graphics Forum, EarlyView.We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier +5 more
wiley +1 more source
The Neumann Problem for Hessian Equations [PDF]
In this paper, we prove the existence of a classical solution to a Neumann boundary problem for Hessian equations in uniformly convex domain. The methods depend upon the established of a priori derivative estimates up to second order.
Ma, Xi-Nan, Qiu, Guohuan
core +1 more source
Computer Graphics Forum, EarlyView.Abstract While semi‐analytical boundary handling techniques have proven effective for modeling particle‐based fluid‐solid interactions, they can become unstable when applied to mesh boundaries undergoing dynamic motion or featuring complex, sharp geometries.
Junyuan Liu +5 more
wiley +1 more source
Bellman Equations with sub-Lipschitz Hessians
We construct homogeneous solutions with non-Lipschitz Hessian for finite, constant-coefficient Bellman equations. First, for every $\sigma\in(0,1)$, we find two uniformly elliptic matrices $A_1,A_2\in\Sym^4$ and a nonzero $(2+\sigma)$-homogeneous solution $u$ of\[\max\bigl\{{\rm tr}\,(A_1D^2u),{\rm tr}\,(A_2D^2u)\bigr\}=0 \qquad\text{in }\R^4 ...
openaire +2 more sources
Fast Injective Mesh Parameterization via Beltrami Coefficient Prolongation
Computer Graphics Forum, EarlyView.Abstract We present a highly efficient and robust method for free boundary injective parameterization of disk‐like triangle meshes with low isometric distortion. Harmonic function–based approaches, grounded in a strong mathematical framework, are widely employed.
G. Fargion, O. Weber
wiley +1 more source
OUGS: Active View Selection via Object‐aware Uncertainty Estimation in 3DGS
Computer Graphics Forum, EarlyView.Abstract Recent advances in 3D Gaussian Splatting (3DGS) have achieved state‐of‐the‐art results for novel view synthesis. However, efficiently capturing high‐fidelity reconstructions of specific objects within complex scenes remains a significant challenge.
Haiyi Li +3 more
wiley +1 more source
Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics
Computer Graphics Forum, EarlyView.Abstract Linear reduced‐order modeling (ROM) is widely used for efficient simulation of deformation dynamics, but its accuracy is often limited by the fixed linearization of the reduced mapping. We propose a new adaptive strategy for linear ROM that allows the reduced mapping to vary dynamically in response to the evolving deformation state ...
Y. Tao, M. Chiaramonte, P. Fernandez
wiley +1 more source