Results 121 to 130 of about 13,144,199 (261)
Radial Solutions for p-k-Hessian Equations and Systems with Gradient Term
Journal of Nonlinear Mathematical PhysicszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ding, Zhaoyang, Mi, Ling
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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
Rigidity for Convex Entire Solutions to the $k$-Hessian Equation
We prove that for each $3\le k\le n-1$ a convex $C^2$ entire solution of $σ_k$ equation in $\mathbb{R}^n$ with positive constant right hand side is a quadratic polynomial, without a growth assumption on the solution itself.
Zhou, Xingchen, Zhu, Ruixuan
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HESSIAN EQUATIONS WITH INFINITE DIRICHLET BOUNDARY VALUE
, 2014 In this paper, we will show the existence and non-existence of Hessian equations with infinite Dirichlet boundary value conditions. Kewwords Hessian equation, k-convex solution, singular boundary value, existence/nonexistence, viscous solution ...
Huaiyu Jian, Xiuqing Chen
core
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
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
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
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
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On the Dirichlet problem for the degenerate $k$-Hessian equation
This paper investigates the existence of a global $C^{1,1}$ solution to the Dirichlet problem for the $k$-Hessian equation with a nonnegative right-hand side $f$, focusing on the required conditions for $f$. The conditions $f^{1/(k-1)}\in C^{1,1}(\overline{Ω_{0}})$ and $f^{3/(2k-2)}\in C^{2,1}(\overline{Ω_{0}})$, together with $f\geq0$ in a domain $Ω_ ...
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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